Python Hands-On Crash Course For Data Science 12+ Projects

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Python Hands-On Crash Course For Data Science 12+ Projects

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文件列表

  • 44. Introduction To Machine Learning/1. Introduction.mp4 412.5 MB
  • 45. Supervised Machine Learning/1. Supervised Machine Learning.mp4 402.7 MB
  • 40. PROJECT Wikipedia Web Scraping/1. Web Scraping On Wikipedia.mp4 379.2 MB
  • 48. Logistic Regression/1. Introduction 1.mp4 376.9 MB
  • 60. Flask PROJECT and DEPLOYMENT/3. Exploratory Data Analysis (EDA).mp4 367.1 MB
  • 50. Naive Bayes Classifier/2. Lab Session.mp4 327.0 MB
  • 55. K-Means Clustering/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 305.6 MB
  • 46. Linear Regression/4. Lab Session 3 Building Linear Regression Model.mp4 290.1 MB
  • 46. Linear Regression/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 272.6 MB
  • 50. Naive Bayes Classifier/1. Introduction.mp4 269.2 MB
  • 46. Linear Regression/3. Lab Session 2 EDA Dealing With Categorical And Missing Values.mp4 268.9 MB
  • 44. Introduction To Machine Learning/2. Applications Of A.IMachine Learning.mp4 265.6 MB
  • 56. Hierarchical Clustering/3. Lab Session.mp4 252.5 MB
  • 36. PROJECT Facebook Data Analysis with Python/1. Analyze Your Facebook Data Live!!.mp4 248.2 MB
  • 60. Flask PROJECT and DEPLOYMENT/5. Hands-On With Flask.mp4 246.0 MB
  • 42. PROJECT Web Scraping Building Amazon Auto Scraper/3. Building Amazon Auto Scraper.mp4 241.9 MB
  • 48. Logistic Regression/4. Lab Session 2 Exploratory Data Analysis(EDA).mp4 233.5 MB
  • 56. Hierarchical Clustering/1. Introduction.mp4 229.4 MB
  • 60. Flask PROJECT and DEPLOYMENT/4. Model Building.mp4 221.1 MB
  • 41. PROJECT Online Book Store Web Scrapping/2. PART 2 Book Store Web Scrapping.mp4 218.2 MB
  • 60. Flask PROJECT and DEPLOYMENT/8. Final Deployment.mp4 213.6 MB
  • 51. K-Nearest Neighbor (KNN)/3. Lab Session.mp4 206.9 MB
  • 53. Support Vector Machine (SVM)/1. Introduction.mp4 196.1 MB
  • 51. K-Nearest Neighbor (KNN)/2. KNN Distance Measures.mp4 193.1 MB
  • 60. Flask PROJECT and DEPLOYMENT/7. Creating Folder Contents.mp4 187.3 MB
  • 60. Flask PROJECT and DEPLOYMENT/6. Creating The Necessary Folders.mp4 186.8 MB
  • 46. Linear Regression/1. Linear Regression.mp4 185.6 MB
  • 48. Logistic Regression/3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 183.4 MB
  • 51. K-Nearest Neighbor (KNN)/1. Introduction.mp4 183.3 MB
  • 32. Python Tips & Tricks/2. PART 2 Python Tips & Tricks.mp4 177.6 MB
  • 59. Flask Tutorial/3. Create Your First Flask App Linking HTML File.mp4 172.2 MB
  • 48. Logistic Regression/5. Lab Session 3 Building Logistic Regression Model.mp4 167.5 MB
  • 53. Support Vector Machine (SVM)/4. Lab Session 2 Building A Support Vector Machine (SVM) Model.mp4 166.5 MB
  • 48. Logistic Regression/2. Introduction 2.mp4 162.5 MB
  • 41. PROJECT Online Book Store Web Scrapping/4. PART 4 Book Store Web Scrapping.mp4 145.6 MB
  • 35. PROJECT Linkedin Data Analysis with Python/2. Linkedin Connections Company Analysis with Python.mp4 142.5 MB
  • 26. Scipy/1. Scipy.mp4 140.1 MB
  • 21. Pandas/1. Pandas Series 1.mp4 139.7 MB
  • 51. K-Nearest Neighbor (KNN)/5. Choosing K In K-NN.mp4 138.2 MB
  • 3. What is Python/2. Install and Write Your First Python Code.mp4 132.7 MB
  • 59. Flask Tutorial/4. Create Your First Flask App Linking CSS File.mp4 131.2 MB
  • 19. Numpy/14. Numpy DataFrame Introduction.mp4 130.1 MB
  • 19. Numpy/11. Numpy Indexing & Slicing.mp4 126.4 MB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/1. Introduction.mp4 122.9 MB
  • 32. Python Tips & Tricks/1. PART 1 Python Tips & Tricks.mp4 122.9 MB
  • 42. PROJECT Web Scraping Building Amazon Auto Scraper/2. PART 2 Building Amazon Auto Scraper.mp4 121.5 MB
  • 54. Unsupervised Machine Learning Clustering/1. Difference Between KNN and K-Means Algorithms.mp4 120.4 MB
  • 27. Scikit-Learn/1. Scikit-Learn.mp4 117.4 MB
  • 3. What is Python/1. Introduction.mp4 116.5 MB
  • 51. K-Nearest Neighbor (KNN)/4. Lab Session Building KNN Model.mp4 116.4 MB
  • 41. PROJECT Online Book Store Web Scrapping/3. PART 3 Book Store Web Scrapping.mp4 115.4 MB
  • 55. K-Means Clustering/1. What Is K-Means Clustering.mp4 106.1 MB
  • 21. Pandas/9. Pandas How To Drop Columns And Rows In Pandas DataFrame.mp4 105.2 MB
  • 35. PROJECT Linkedin Data Analysis with Python/1. Linkedin Connection Timeline Analysis with Python.mp4 105.2 MB
  • 6. Hands-On With Python/2. Hands-On With Python Keywords And Identifiers.mp4 98.8 MB
  • 56. Hierarchical Clustering/2. Dendrograms And Cophenetic correlation.mp4 91.3 MB
  • 53. Support Vector Machine (SVM)/2. Dealing With Linearly Inseparable Points.mp4 85.4 MB
  • 1. Download Course Curriculum/1. Curriculum Video Walkthrough.mp4 85.3 MB
  • 21. Pandas/2. Pandas Series 2.mp4 85.2 MB
  • 11. Python Functions/1. User Define Functions.mp4 85.0 MB
  • 37. PROJECT Automate WhatsApp Messages with Python/1. Automate WhatsApp Messages.mp4 80.9 MB
  • 60. Flask PROJECT and DEPLOYMENT/2. Introduction to Dataset.mp4 80.8 MB
  • 21. Pandas/5. Pandas Operations On Pandas DataFrame.mp4 80.0 MB
  • 55. K-Means Clustering/3. Choosing K in K-Means-The Elbow Method.mp4 78.8 MB
  • 21. Pandas/22. PandasJoin.mp4 78.2 MB
  • 35. PROJECT Linkedin Data Analysis with Python/3. Linkedin Connections Position Analysis with Python.mp4 77.5 MB
  • 21. Pandas/7. Pandas Reading A Dataset Into Pandas DataFrame.mp4 76.1 MB
  • 18. Extra Content/3. Splitting Function.mp4 75.4 MB
  • 53. Support Vector Machine (SVM)/3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 72.1 MB
  • 21. Pandas/15. Pandas Conditional Selection With Pandas.mp4 70.4 MB
  • 18. Extra Content/1. LIST.mp4 69.8 MB
  • 38. PROJECT Facebook Messenger Automation With Python/1. Automate Facebook Messenger with Python.mp4 65.8 MB
  • 21. Pandas/14. Pandas Pandas Describe Function.mp4 65.7 MB
  • 29. Exception Handling In Python/4. Handling Exceptions With Try & Except.mp4 64.5 MB
  • 19. Numpy/1. Introduction To Numpy.mp4 63.8 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/5. Misspelling, Missing and Misusing Python Keywords.mp4 62.7 MB
  • 35. PROJECT Linkedin Data Analysis with Python/4. Linkedin Connections Position Analysis(WordCloud) with Python.mp4 62.4 MB
  • 30. How To Work With Date And Time In Python/14. How To Handle Different Time Zones.mp4 61.9 MB
  • 18. Extra Content/2. Working On List.mp4 61.5 MB
  • 41. PROJECT Online Book Store Web Scrapping/1. PART 1 Book Store Web Scrapping.mp4 60.4 MB
  • 14. Working With Files In Python/4. Writing To A File In Python.mp4 60.1 MB
  • 21. Pandas/11. Pandas How To Rename A Column In Pandas Dataframe.mp4 59.4 MB
  • 45. Supervised Machine Learning/2. Difference between Regression And Correlation.mp4 58.7 MB
  • 14. Working With Files In Python/1. Python Files.mp4 57.7 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/30. Folium Plot.mp4 56.0 MB
  • 18. Extra Content/4. Range In Python.mp4 54.9 MB
  • 21. Pandas/23. Pandas Merge.mp4 54.9 MB
  • 6. Hands-On With Python/5. Hands-On Coding Python Variables.mp4 54.3 MB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/3. Drawing Insights From Data.mp4 53.2 MB
  • 60. Flask PROJECT and DEPLOYMENT/1. Flask Introduction.mp4 52.7 MB
  • 7. Python Output(), Input() and Import() Functions/2. Hands-On Coding Input() Function In Python.mp4 52.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/20. Sunburst Interactive Plotting 1.mp4 52.1 MB
  • 19. Numpy/7. Numpy Resize Function.mp4 51.3 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/41. Animated Plot With Matplotlib Code Walk Through 4.mp4 50.3 MB
  • 11. Python Functions/4. Lambda Function.mp4 50.1 MB
  • 6. Hands-On With Python/3. Hands-On Code Python Comments.mp4 49.3 MB
  • 21. Pandas/20. Pandas Concatenate Function.mp4 48.4 MB
  • 8. Python Operators/3. Hands-On Coding Python Operators Logical Operators.mp4 47.8 MB
  • 21. Pandas/4. Pandas DataFrame Introduction.mp4 47.4 MB
  • 19. Numpy/15. Numpy Creating Matrix.mp4 46.8 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/42. Animated Plot With Matplotlib Final Output.mp4 46.2 MB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/4. Time Series Analysis.mp4 45.5 MB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/2. Data Cleaning.mp4 45.4 MB
  • 21. Pandas/16. Pandas How To Deal With Null Values.mp4 45.4 MB
  • 21. Pandas/13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna()).mp4 45.3 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/28. Creating WordCloud.mp4 45.2 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/2. Python Syntax Errors.mp4 44.8 MB
  • 6. Hands-On With Python/6. Hands-On Coding Rules and Naming Conventions for Python Variables.mp4 44.6 MB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/6. Monthly Order Analysis.mp4 44.4 MB
  • 21. Pandas/8. Pandas Adding A Column To Pandas DataFrame.mp4 44.1 MB
  • 18. Extra Content/5. List Comprehension In Python.mp4 43.8 MB
  • 8. Python Operators/4. Hands-On Coding Python Operators-Bitwise Operators.mp4 43.5 MB
  • 21. Pandas/3. Pandas Loc & iLoc.mp4 43.1 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/11. Operator Errors In Python.mp4 42.8 MB
  • 16. Python Packages and Libraries/2. PIP Install Python Libraries.mp4 41.4 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/32. Multi-Variable Time Series Plot.mp4 41.2 MB
  • 15. Python Modules/1. Python Modules.mp4 40.5 MB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/5. Daily Order Analysis.mp4 39.9 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/34. 3D Plots With Plotly.mp4 39.4 MB
  • 30. How To Work With Date And Time In Python/17. DataFrame How to Get The Week and Leap Year from DataFrame.mp4 39.4 MB
  • 5. Introduction To Google Colab/2. Introduction To Google Colab Working With Text.mp4 39.3 MB
  • 30. How To Work With Date And Time In Python/12. How To Work With Timestamp.mp4 39.1 MB
  • 30. How To Work With Date And Time In Python/10. Date and Time Formatting Using STRFTIME and STRPTIME.mp4 38.9 MB
  • 5. Introduction To Google Colab/1. Introduction To Google Colab Overview.mp4 37.6 MB
  • 19. Numpy/3. Numpy Arange Function.mp4 37.2 MB
  • 23. Data Visualisation Libraries/1. Introduction.mp4 36.6 MB
  • 29. Exception Handling In Python/6. The Finally Clause.mp4 36.5 MB
  • 11. Python Functions/2. Arbitrary Arguments.mp4 36.2 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/12. Logical Errors In Python.mp4 36.0 MB
  • 9. Python Flow Control/3. ELif Statement.mp4 35.9 MB
  • 21. Pandas/10. Pandas How To Reset Index In Pandas Dataframe.mp4 35.7 MB
  • 30. How To Work With Date And Time In Python/5. Working With TimeDelta in Python.mp4 35.5 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/36. Animated Plot With Plotly.mp4 34.6 MB
  • 29. Exception Handling In Python/1. Exception Handling Introduction.mp4 34.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/39. Animated Plot With Matplotlib Code Walk Through 2.mp4 34.1 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/23. Bubble Plot.mp4 33.7 MB
  • 19. Numpy/13. Numpy How To Create A Copy Dataset.mp4 32.5 MB
  • 16. Python Packages and Libraries/1. Python Packages and Libraries.mp4 32.5 MB
  • 29. Exception Handling In Python/2. Raising An Exception In Python.mp4 32.3 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/35. 3D Plots With Plotly Output.mp4 32.3 MB
  • 30. How To Work With Date And Time In Python/6. How To Extract Week-Day From A Given Date 1.mp4 32.2 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/8. Python Runtime Error.mp4 32.0 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/15. Tree Plot.mp4 31.8 MB
  • 19. Numpy/4. Numpy Zeros, Ones and Eye functions.mp4 31.5 MB
  • 23. Data Visualisation Libraries/6. Altair.mp4 31.3 MB
  • 23. Data Visualisation Libraries/7. ggplot.mp4 30.5 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/6. Missing Parentheses, Brackets and Quotes.mp4 30.5 MB
  • 11. Python Functions/5. Built-In Function.mp4 30.0 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/1. Python Error Handling Introduction.mp4 29.7 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/24. Box Plot.mp4 29.7 MB
  • 7. Python Output(), Input() and Import() Functions/3. Hands-On Coding Import() Function In Python.mp4 29.6 MB
  • 30. How To Work With Date And Time In Python/1. Introduction.mp4 28.7 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/10. Searching On Stack Overflow.mp4 28.5 MB
  • 4. Introduction To Jupyter Notebook/1. Getting Started With Anaconda.mp4 28.3 MB
  • 21. Pandas/21. Pandas Join & Merge(Creating Dataset).mp4 28.0 MB
  • 5. Introduction To Google Colab/3. Introduction To Google Colab Saving & Exporting Notebook.mp4 27.8 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/27. Word Cloud Overview Of Dataset.mp4 27.7 MB
  • 13. Python Global and Local Variables/2. Local Variable.mp4 27.6 MB
  • 30. How To Work With Date And Time In Python/16. DataFrame Get Year, Month and Day from a DataFrame 2.mp4 27.5 MB
  • 30. How To Work With Date And Time In Python/19. Operations on Date and Time with Dataset 1.mp4 27.4 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/31. Time Series Plot.mp4 27.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/26. Wind Rose Chart.mp4 26.5 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/17. Heat Map.mp4 26.5 MB
  • 21. Pandas/6. Pandas Selection And Indexing On Pandas DataFrame.mp4 26.5 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/10. Bivariate and Multivariate Distplot.mp4 26.2 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/3. How To Properly Read and Understand Errors In Python.mp4 25.7 MB
  • 30. How To Work With Date And Time In Python/20. Operations on Date and Time with Dataset 2.mp4 25.6 MB
  • 30. How To Work With Date And Time In Python/7. How To Extract Week-Day From A Given Date 2.mp4 25.2 MB
  • 23. Data Visualisation Libraries/4. Plotly.mp4 25.2 MB
  • 17. Data Types In Python/4. Lesson 4 Tuple & List Mutability.mp4 25.1 MB
  • 4. Introduction To Jupyter Notebook/4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook).mp4 25.0 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/21. Sunburst Interactive Plotting 2.mp4 25.0 MB
  • 19. Numpy/10. NumpyGenerating Random Values With random.randint.mp4 24.4 MB
  • 23. Data Visualisation Libraries/5. Plotly Display Output In Google Colab.mp4 24.4 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/22. Funnel Plot.mp4 24.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/19. Sunburst.mp4 24.1 MB
  • 9. Python Flow Control/5. While loop.mp4 24.0 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/18. Scatter Matrix.mp4 23.8 MB
  • 6. Hands-On With Python/4. Hands-On Coding Python Docstring.mp4 23.7 MB
  • 29. Exception Handling In Python/5. The Else Clause.mp4 23.6 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/2. Plotting Bar Graphs.mp4 23.3 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/9. Zero Division Error.mp4 23.0 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/9. Distplot.mp4 22.9 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/18. Python KeyboardInterrupt.mp4 22.5 MB
  • 9. Python Flow Control/1. If Statement.mp4 22.3 MB
  • 8. Python Operators/5. Hands-On Coding Python Operators-Assignment Operators.mp4 22.1 MB
  • 21. Pandas/12. Pandas Tail(), Column and Index.mp4 21.9 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/37. Animated Plot With Matplotlib COVID 19 Dataset.mp4 21.7 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/40. Animated Plot With Matplotlib Code Walk Through 3.mp4 21.6 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/33. 3D Plots With Matplotlib.mp4 21.3 MB
  • 39. PROJECT Web Scraping PROJECT/5. Library Scrapy.mp4 21.3 MB
  • 21. Pandas/19. Pandas Count() & Value_Count().mp4 21.3 MB
  • 4. Introduction To Jupyter Notebook/2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw.mp4 21.3 MB
  • 19. Numpy/6. Numpy Linspace.mp4 20.3 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/4. Python Common Syntax Errors.mp4 20.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/16. Pie Chart.mp4 20.0 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/38. Animated Plot With Matplotlib Code Walk Through 1.mp4 19.7 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/1. Bar Graph Dataset Overview.mp4 19.6 MB
  • 21. Pandas/17. Pandas How To Sort Values In Pandas.mp4 19.5 MB
  • 30. How To Work With Date And Time In Python/15. DataFrame Get Year, Month and Day from a DataFrame 1.mp4 19.5 MB
  • 14. Working With Files In Python/3. The With Statement.mp4 19.3 MB
  • 17. Data Types In Python/5. Lesson 5 Tuple Immutability.mp4 19.0 MB
  • 30. How To Work With Date And Time In Python/21. Operations on Date and Time with Dataset 3.mp4 19.0 MB
  • 19. Numpy/9. NumpyGenerating Random Values With random.randn.mp4 18.8 MB
  • 17. Data Types In Python/7. Lesson 7 Dictionary.mp4 18.4 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/7. Indentation Error.mp4 18.4 MB
  • 8. Python Operators/7. Hands-On Coding Python Operators-Membership Operators.mp4 18.4 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/6. Histogram.mp4 18.4 MB
  • 30. How To Work With Date And Time In Python/2. How To Extract Day, Month and Year from a given Time.mp4 18.2 MB
  • 9. Python Flow Control/7. Continue Statement.mp4 18.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/29. Folium Overview Of Dataset.mp4 17.9 MB
  • 9. Python Flow Control/4. For loop.mp4 17.7 MB
  • 39. PROJECT Web Scraping PROJECT/2. Library Requests.mp4 17.4 MB
  • 23. Data Visualisation Libraries/3. Seaborn.mp4 17.2 MB
  • 19. Numpy/8. NumpyGenerating Random Values With random.rand.mp4 17.1 MB
  • 23. Data Visualisation Libraries/2. Matplotlib.mp4 16.8 MB
  • 9. Python Flow Control/6. Break Statement.mp4 16.6 MB
  • 30. How To Work With Date And Time In Python/18. DataFrame How to Get Age from Date.mp4 16.5 MB
  • 59. Flask Tutorial/1. Flask Introduction.mp4 16.4 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/12. Scatter Plot.mp4 16.2 MB
  • 11. Python Functions/3. Function With Loops.mp4 16.0 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/15. Python KeyError.mp4 16.0 MB
  • 8. Python Operators/1. Hands-On Coding Python Operators-Arithmetic Operators.mp4 15.8 MB
  • 29. Exception Handling In Python/3. Raising An AssertionError In Python.mp4 15.8 MB
  • 15. Python Modules/3. The from...import Statement.mp4 15.4 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/8. Facet Histogram.mp4 15.1 MB
  • 30. How To Work With Date And Time In Python/8. How To Generate Calendar.mp4 15.0 MB
  • 30. How To Work With Date And Time In Python/3. How to Extract Hours, Minutes, Seconds and Micro-seconds from a given Time.mp4 14.9 MB
  • 30. How To Work With Date And Time In Python/11. How To Extract The Year, Month, Day Time Using STRFTIME.mp4 14.9 MB
  • 17. Data Types In Python/1. Lesson 1 Integer & Floating Point Numbers.mp4 14.7 MB
  • 17. Data Types In Python/2. Lesson 2 Complex Numbers & Strings.mp4 14.7 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/13. Relplot.mp4 14.5 MB
  • 9. Python Flow Control/2. If...Else Statement.mp4 13.3 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/16. Python ImportError.mp4 13.0 MB
  • 8. Python Operators/2. Hands-On Coding Python Operators Comparison Operators.mp4 12.8 MB
  • 42. PROJECT Web Scraping Building Amazon Auto Scraper/1. Part 1 Building Amazon Web Scraper.mp4 12.6 MB
  • 19. Numpy/12. Numpy Broadcasting.mp4 12.6 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/14. Python ModuleNotFoundError.mp4 12.5 MB
  • 7. Python Output(), Input() and Import() Functions/1. Hands-On Coding Output() Function In Python.mp4 12.2 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/11. Hexplot.mp4 12.1 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/13. Python IndexError.mp4 12.1 MB
  • 39. PROJECT Web Scraping PROJECT/4. Library Selenium.mp4 12.0 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/4. Stacked Bar Graphs.mp4 11.8 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/25. Violin Plot.mp4 11.8 MB
  • 13. Python Global and Local Variables/1. Global Variable.mp4 11.5 MB
  • 30. How To Work With Date And Time In Python/4. How To Update current Date.mp4 11.1 MB
  • 39. PROJECT Web Scraping PROJECT/1. Web Scraping Introduction.mp4 11.0 MB
  • 19. Numpy/5. Numpy Reshape Function.mp4 10.6 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/14. LM Plot.mp4 10.5 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/3. Horizontal Bar Graphs.mp4 10.4 MB
  • 19. Numpy/2. Numpy Creating Multi-Dimensional Arrays.mp4 10.3 MB
  • 8. Python Operators/6. Python Hands-On Python Operators-Special Operators.mp4 10.3 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/7. Marginal Histogram.mp4 10.1 MB
  • 17. Data Types In Python/3. Lesson 3 LIST.mp4 10.1 MB
  • 30. How To Work With Date And Time In Python/13. How To Convert Strings To DateTime Using STRPTIME.mp4 10.1 MB
  • 59. Flask Tutorial/2. Create Your First Flask App.mp4 10.0 MB
  • 4. Introduction To Jupyter Notebook/3. Introduction To Jupyter Notebook Working With Text.mp4 9.6 MB
  • 39. PROJECT Web Scraping PROJECT/3. Library BeautifulSoup.mp4 9.0 MB
  • 15. Python Modules/2. Renaming Modules.mp4 8.8 MB
  • 30. How To Work With Date And Time In Python/9. How To Format Date and Time in Python.mp4 8.8 MB
  • 17. Data Types In Python/6. Lesson 6 Set.mp4 8.6 MB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/17. Python ValueError.mp4 8.3 MB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/5. Group Bar Graphs.mp4 8.2 MB
  • 14. Working With Files In Python/2. The Close Method.mp4 7.7 MB
  • 6. Hands-On With Python/1. Python Hands-On Introduction.mp4 6.4 MB
  • 21. Pandas/18. Pandas Pandas Groupby.mp4 4.7 MB
  • 1. Download Course Curriculum/TDS-Python-Crash-Course-Curriculum.pdf 1.3 MB
  • 48. Logistic Regression/1. Introduction 1-en_US.srt 83.9 kB
  • 55. K-Means Clustering/2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 78.7 kB
  • 60. Flask PROJECT and DEPLOYMENT/3. Exploratory Data Analysis (EDA)-en_US.srt 78.5 kB
  • 56. Hierarchical Clustering/3. Lab Session-en_US.srt 75.8 kB
  • 45. Supervised Machine Learning/1. Supervised Machine Learning-en_US.srt 68.8 kB
  • 50. Naive Bayes Classifier/2. Lab Session-en_US.srt 65.7 kB
  • 46. Linear Regression/2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 65.1 kB
  • 46. Linear Regression/4. Lab Session 3 Building Linear Regression Model-en_US.srt 65.0 kB
  • 46. Linear Regression/3. Lab Session 2 EDA Dealing With Categorical And Missing Values-en_US.srt 60.9 kB
  • 50. Naive Bayes Classifier/1. Introduction-en_US.srt 54.2 kB
  • 48. Logistic Regression/4. Lab Session 2 Exploratory Data Analysis(EDA)-en_US.srt 50.2 kB
  • 40. PROJECT Wikipedia Web Scraping/1. Web Scraping On Wikipedia-en_US.srt 46.8 kB
  • 51. K-Nearest Neighbor (KNN)/3. Lab Session-en_US.srt 46.4 kB
  • 44. Introduction To Machine Learning/1. Introduction-en_US.srt 45.8 kB
  • 42. PROJECT Web Scraping Building Amazon Auto Scraper/3. Building Amazon Auto Scraper-en_US.srt 44.1 kB
  • 36. PROJECT Facebook Data Analysis with Python/1. Analyze Your Facebook Data Live!!-en_US.srt 43.6 kB
  • 46. Linear Regression/1. Linear Regression-en_US.srt 43.5 kB
  • 60. Flask PROJECT and DEPLOYMENT/6. Creating The Necessary Folders-en_US.srt 42.3 kB
  • 56. Hierarchical Clustering/1. Introduction-en_US.srt 40.3 kB
  • 48. Logistic Regression/3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 40.1 kB
  • 60. Flask PROJECT and DEPLOYMENT/4. Model Building-en_US.srt 39.8 kB
  • 48. Logistic Regression/2. Introduction 2-en_US.srt 38.4 kB
  • 32. Python Tips & Tricks/2. PART 2 Python Tips & Tricks-en_US.srt 38.2 kB
  • 48. Logistic Regression/5. Lab Session 3 Building Logistic Regression Model-en_US.srt 37.4 kB
  • 53. Support Vector Machine (SVM)/1. Introduction-en_US.srt 36.1 kB
  • 44. Introduction To Machine Learning/2. Applications Of A.IMachine Learning-en_US.srt 35.1 kB
  • 41. PROJECT Online Book Store Web Scrapping/2. PART 2 Book Store Web Scrapping-en_US.srt 34.9 kB
  • 51. K-Nearest Neighbor (KNN)/2. KNN Distance Measures-en_US.srt 34.1 kB
  • 51. K-Nearest Neighbor (KNN)/5. Choosing K In K-NN-en_US.srt 33.6 kB
  • 21. Pandas/1. Pandas Series 1-en_US.srt 31.4 kB
  • 51. K-Nearest Neighbor (KNN)/4. Lab Session Building KNN Model-en_US.srt 31.3 kB
  • 60. Flask PROJECT and DEPLOYMENT/8. Final Deployment-en_US.srt 31.0 kB
  • 53. Support Vector Machine (SVM)/4. Lab Session 2 Building A Support Vector Machine (SVM) Model-en_US.srt 29.7 kB
  • 59. Flask Tutorial/3. Create Your First Flask App Linking HTML File-en_US.srt 27.5 kB
  • 60. Flask PROJECT and DEPLOYMENT/7. Creating Folder Contents-en_US.srt 27.3 kB
  • 41. PROJECT Online Book Store Web Scrapping/4. PART 4 Book Store Web Scrapping-en_US.srt 27.3 kB
  • 35. PROJECT Linkedin Data Analysis with Python/2. Linkedin Connections Company Analysis with Python-en_US.srt 26.3 kB
  • 19. Numpy/11. Numpy Indexing & Slicing-en_US.srt 26.2 kB
  • 19. Numpy/14. Numpy DataFrame Introduction-en_US.srt 25.7 kB
  • 55. K-Means Clustering/1. What Is K-Means Clustering-en_US.srt 25.5 kB
  • 26. Scipy/1. Scipy-en_US.srt 25.3 kB
  • 32. Python Tips & Tricks/1. PART 1 Python Tips & Tricks-en_US.srt 25.3 kB
  • 27. Scikit-Learn/1. Scikit-Learn-en_US.srt 24.8 kB
  • 3. What is Python/2. Install and Write Your First Python Code-en_US.srt 24.7 kB
  • 51. K-Nearest Neighbor (KNN)/1. Introduction-en_US.srt 23.0 kB
  • 3. What is Python/1. Introduction-en_US.srt 22.6 kB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/1. Introduction-en_US.srt 21.8 kB
  • 42. PROJECT Web Scraping Building Amazon Auto Scraper/2. PART 2 Building Amazon Auto Scraper-en_US.srt 21.4 kB
  • 55. K-Means Clustering/3. Choosing K in K-Means-The Elbow Method-en_US.srt 20.9 kB
  • 59. Flask Tutorial/2. Create Your First Flask App-en_US.srt 20.8 kB
  • 6. Hands-On With Python/2. Hands-On With Python Keywords And Identifiers-en_US.srt 20.8 kB
  • 35. PROJECT Linkedin Data Analysis with Python/1. Linkedin Connection Timeline Analysis with Python-en_US.srt 20.8 kB
  • 11. Python Functions/1. User Define Functions-en_US.srt 20.4 kB
  • 54. Unsupervised Machine Learning Clustering/1. Difference Between KNN and K-Means Algorithms-en_US.srt 20.1 kB
  • 19. Numpy/1. Introduction To Numpy-en_US.srt 19.1 kB
  • 1. Download Course Curriculum/1. Curriculum Video Walkthrough-en_US.srt 18.6 kB
  • 59. Flask Tutorial/4. Create Your First Flask App Linking CSS File-en_US.srt 18.3 kB
  • 21. Pandas/9. Pandas How To Drop Columns And Rows In Pandas DataFrame-en_US.srt 18.3 kB
  • 60. Flask PROJECT and DEPLOYMENT/5. Hands-On With Flask-en_US.srt 18.0 kB
  • 18. Extra Content/3. Splitting Function-en_US.srt 18.0 kB
  • 21. Pandas/2. Pandas Series 2-en_US.srt 17.8 kB
  • 53. Support Vector Machine (SVM)/2. Dealing With Linearly Inseparable Points-en_US.srt 17.3 kB
  • 56. Hierarchical Clustering/2. Dendrograms And Cophenetic correlation-en_US.srt 17.3 kB
  • 18. Extra Content/1. LIST-en_US.srt 16.4 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/5. Misspelling, Missing and Misusing Python Keywords-en_US.srt 16.1 kB
  • 41. PROJECT Online Book Store Web Scrapping/3. PART 3 Book Store Web Scrapping-en_US.srt 16.0 kB
  • 37. PROJECT Automate WhatsApp Messages with Python/1. Automate WhatsApp Messages-en_US.srt 15.3 kB
  • 45. Supervised Machine Learning/2. Difference between Regression And Correlation-en_US.srt 15.2 kB
  • 29. Exception Handling In Python/4. Handling Exceptions With Try & Except-en_US.srt 15.1 kB
  • 21. Pandas/22. PandasJoin-en_US.srt 15.0 kB
  • 21. Pandas/15. Pandas Conditional Selection With Pandas-en_US.srt 14.9 kB
  • 21. Pandas/5. Pandas Operations On Pandas DataFrame-en_US.srt 14.9 kB
  • 18. Extra Content/4. Range In Python-en_US.srt 14.4 kB
  • 53. Support Vector Machine (SVM)/3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 14.3 kB
  • 6. Hands-On With Python/5. Hands-On Coding Python Variables-en_US.srt 14.2 kB
  • 35. PROJECT Linkedin Data Analysis with Python/3. Linkedin Connections Position Analysis with Python-en_US.srt 14.0 kB
  • 21. Pandas/7. Pandas Reading A Dataset Into Pandas DataFrame-en_US.srt 13.7 kB
  • 60. Flask PROJECT and DEPLOYMENT/2. Introduction to Dataset-en_US.srt 13.1 kB
  • 11. Python Functions/4. Lambda Function-en_US.srt 12.9 kB
  • 21. Pandas/23. Pandas Merge-en_US.srt 12.8 kB
  • 21. Pandas/3. Pandas Loc & iLoc-en_US.srt 12.7 kB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/3. Drawing Insights From Data-en_US.srt 12.2 kB
  • 7. Python Output(), Input() and Import() Functions/2. Hands-On Coding Input() Function In Python-en_US.srt 12.1 kB
  • 14. Working With Files In Python/1. Python Files-en_US.srt 11.8 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/11. Operator Errors In Python-en_US.srt 11.7 kB
  • 18. Extra Content/2. Working On List-en_US.srt 11.6 kB
  • 8. Python Operators/3. Hands-On Coding Python Operators Logical Operators-en_US.srt 11.5 kB
  • 21. Pandas/16. Pandas How To Deal With Null Values-en_US.srt 11.4 kB
  • 8. Python Operators/4. Hands-On Coding Python Operators-Bitwise Operators-en_US.srt 11.3 kB
  • 6. Hands-On With Python/3. Hands-On Code Python Comments-en_US.srt 11.3 kB
  • 35. PROJECT Linkedin Data Analysis with Python/4. Linkedin Connections Position Analysis(WordCloud) with Python-en_US.srt 11.2 kB
  • 6. Hands-On With Python/6. Hands-On Coding Rules and Naming Conventions for Python Variables-en_US.srt 11.2 kB
  • 30. How To Work With Date And Time In Python/14. How To Handle Different Time Zones-en_US.srt 11.1 kB
  • 21. Pandas/11. Pandas How To Rename A Column In Pandas Dataframe-en_US.srt 11.0 kB
  • 38. PROJECT Facebook Messenger Automation With Python/1. Automate Facebook Messenger with Python-en_US.srt 10.8 kB
  • 18. Extra Content/5. List Comprehension In Python-en_US.srt 10.7 kB
  • 11. Python Functions/5. Built-In Function-en_US.srt 10.7 kB
  • 21. Pandas/20. Pandas Concatenate Function-en_US.srt 10.6 kB
  • 14. Working With Files In Python/4. Writing To A File In Python-en_US.srt 10.5 kB
  • 21. Pandas/13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna())-en_US.srt 10.2 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/2. Python Syntax Errors-en_US.srt 10.1 kB
  • 16. Python Packages and Libraries/2. PIP Install Python Libraries-en_US.srt 9.9 kB
  • 41. PROJECT Online Book Store Web Scrapping/1. PART 1 Book Store Web Scrapping-en_US.srt 9.9 kB
  • 15. Python Modules/1. Python Modules-en_US.srt 9.7 kB
  • 30. How To Work With Date And Time In Python/5. Working With TimeDelta in Python-en_US.srt 9.7 kB
  • 19. Numpy/15. Numpy Creating Matrix-en_US.srt 9.5 kB
  • 21. Pandas/14. Pandas Pandas Describe Function-en_US.srt 9.5 kB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/6. Monthly Order Analysis-en_US.srt 9.2 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/12. Logical Errors In Python-en_US.srt 9.0 kB
  • 19. Numpy/3. Numpy Arange Function-en_US.srt 8.7 kB
  • 19. Numpy/7. Numpy Resize Function-en_US.srt 8.6 kB
  • 9. Python Flow Control/3. ELif Statement-en_US.srt 8.5 kB
  • 9. Python Flow Control/5. While loop-en_US.srt 8.4 kB
  • 30. How To Work With Date And Time In Python/17. DataFrame How to Get The Week and Leap Year from DataFrame-en_US.srt 8.4 kB
  • 29. Exception Handling In Python/1. Exception Handling Introduction-en_US.srt 8.3 kB
  • 30. How To Work With Date And Time In Python/16. DataFrame Get Year, Month and Day from a DataFrame 2-en_US.srt 8.3 kB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/2. Data Cleaning-en_US.srt 8.2 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/30. Folium Plot-en_US.srt 8.1 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/20. Sunburst Interactive Plotting 1-en_US.srt 8.0 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/41. Animated Plot With Matplotlib Code Walk Through 4-en_US.srt 7.8 kB
  • 4. Introduction To Jupyter Notebook/2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw-en_US.srt 7.8 kB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/4. Time Series Analysis-en_US.srt 7.7 kB
  • 11. Python Functions/2. Arbitrary Arguments-en_US.srt 7.7 kB
  • 19. Numpy/13. Numpy How To Create A Copy Dataset-en_US.srt 7.6 kB
  • 19. Numpy/4. Numpy Zeros, Ones and Eye functions-en_US.srt 7.6 kB
  • 29. Exception Handling In Python/6. The Finally Clause-en_US.srt 7.6 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/6. Missing Parentheses, Brackets and Quotes-en_US.srt 7.6 kB
  • 29. Exception Handling In Python/2. Raising An Exception In Python-en_US.srt 7.5 kB
  • 34. PROJECT Amazon Live Oder Data Analysis with Python/5. Daily Order Analysis-en_US.srt 7.5 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/42. Animated Plot With Matplotlib Final Output-en_US.srt 7.4 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/28. Creating WordCloud-en_US.srt 7.4 kB
  • 16. Python Packages and Libraries/1. Python Packages and Libraries-en_US.srt 7.4 kB
  • 30. How To Work With Date And Time In Python/10. Date and Time Formatting Using STRFTIME and STRPTIME-en_US.srt 7.4 kB
  • 30. How To Work With Date And Time In Python/1. Introduction-en_US.srt 7.3 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/23. Bubble Plot-en_US.srt 7.2 kB
  • 5. Introduction To Google Colab/1. Introduction To Google Colab Overview-en_US.srt 7.2 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/24. Box Plot-en_US.srt 7.1 kB
  • 23. Data Visualisation Libraries/1. Introduction-en_US.srt 7.1 kB
  • 5. Introduction To Google Colab/2. Introduction To Google Colab Working With Text-en_US.srt 7.1 kB
  • 9. Python Flow Control/1. If Statement-en_US.srt 7.0 kB
  • 21. Pandas/8. Pandas Adding A Column To Pandas DataFrame-en_US.srt 7.0 kB
  • 7. Python Output(), Input() and Import() Functions/3. Hands-On Coding Import() Function In Python-en_US.srt 6.9 kB
  • 21. Pandas/4. Pandas DataFrame Introduction-en_US.srt 6.9 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/15. Tree Plot-en_US.srt 6.9 kB
  • 30. How To Work With Date And Time In Python/20. Operations on Date and Time with Dataset 2-en_US.srt 6.8 kB
  • 30. How To Work With Date And Time In Python/12. How To Work With Timestamp-en_US.srt 6.8 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/17. Heat Map-en_US.srt 6.8 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/2. Plotting Bar Graphs-en_US.srt 6.5 kB
  • 17. Data Types In Python/4. Lesson 4 Tuple & List Mutability-en_US.srt 6.5 kB
  • 9. Python Flow Control/7. Continue Statement-en_US.srt 6.5 kB
  • 4. Introduction To Jupyter Notebook/1. Getting Started With Anaconda-en_US.srt 6.5 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/8. Python Runtime Error-en_US.srt 6.5 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/39. Animated Plot With Matplotlib Code Walk Through 2-en_US.srt 6.4 kB
  • 17. Data Types In Python/7. Lesson 7 Dictionary-en_US.srt 6.4 kB
  • 23. Data Visualisation Libraries/5. Plotly Display Output In Google Colab-en_US.srt 6.4 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/32. Multi-Variable Time Series Plot-en_US.srt 6.4 kB
  • 13. Python Global and Local Variables/2. Local Variable-en_US.srt 6.4 kB
  • 23. Data Visualisation Libraries/6. Altair-en_US.srt 6.3 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/31. Time Series Plot-en_US.srt 6.2 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/34. 3D Plots With Plotly-en_US.srt 6.2 kB
  • 23. Data Visualisation Libraries/7. ggplot-en_US.srt 6.1 kB
  • 21. Pandas/21. Pandas Join & Merge(Creating Dataset)-en_US.srt 6.1 kB
  • 30. How To Work With Date And Time In Python/19. Operations on Date and Time with Dataset 1-en_US.srt 6.1 kB
  • 19. Numpy/10. NumpyGenerating Random Values With random.randint-en_US.srt 6.0 kB
  • 21. Pandas/10. Pandas How To Reset Index In Pandas Dataframe-en_US.srt 5.8 kB
  • 8. Python Operators/5. Hands-On Coding Python Operators-Assignment Operators-en_US.srt 5.8 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/4. Python Common Syntax Errors-en_US.srt 5.6 kB
  • 6. Hands-On With Python/4. Hands-On Coding Python Docstring-en_US.srt 5.6 kB
  • 30. How To Work With Date And Time In Python/6. How To Extract Week-Day From A Given Date 1-en_US.srt 5.6 kB
  • 60. Flask PROJECT and DEPLOYMENT/1. Flask Introduction-en_US.srt 5.6 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/9. Distplot-en_US.srt 5.5 kB
  • 23. Data Visualisation Libraries/4. Plotly-en_US.srt 5.5 kB
  • 9. Python Flow Control/6. Break Statement-en_US.srt 5.5 kB
  • 4. Introduction To Jupyter Notebook/4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook)-en_US.srt 5.5 kB
  • 21. Pandas/12. Pandas Tail(), Column and Index-en_US.srt 5.3 kB
  • 21. Pandas/6. Pandas Selection And Indexing On Pandas DataFrame-en_US.srt 5.2 kB
  • 21. Pandas/17. Pandas How To Sort Values In Pandas-en_US.srt 5.1 kB
  • 19. Numpy/8. NumpyGenerating Random Values With random.rand-en_US.srt 5.1 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/33. 3D Plots With Matplotlib-en_US.srt 5.0 kB
  • 9. Python Flow Control/4. For loop-en_US.srt 5.0 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/36. Animated Plot With Plotly-en_US.srt 5.0 kB
  • 23. Data Visualisation Libraries/3. Seaborn-en_US.srt 4.9 kB
  • 30. How To Work With Date And Time In Python/7. How To Extract Week-Day From A Given Date 2-en_US.srt 4.9 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/9. Zero Division Error-en_US.srt 4.9 kB
  • 17. Data Types In Python/5. Lesson 5 Tuple Immutability-en_US.srt 4.8 kB
  • 29. Exception Handling In Python/5. The Else Clause-en_US.srt 4.8 kB
  • 17. Data Types In Python/1. Lesson 1 Integer & Floating Point Numbers-en_US.srt 4.8 kB
  • 29. Exception Handling In Python/3. Raising An AssertionError In Python-en_US.srt 4.8 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/6. Histogram-en_US.srt 4.7 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/3. How To Properly Read and Understand Errors In Python-en_US.srt 4.7 kB
  • 30. How To Work With Date And Time In Python/15. DataFrame Get Year, Month and Day from a DataFrame 1-en_US.srt 4.7 kB
  • 8. Python Operators/7. Hands-On Coding Python Operators-Membership Operators-en_US.srt 4.7 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/10. Bivariate and Multivariate Distplot-en_US.srt 4.7 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/1. Python Error Handling Introduction-en_US.srt 4.7 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/15. Python KeyError-en_US.srt 4.7 kB
  • 17. Data Types In Python/2. Lesson 2 Complex Numbers & Strings-en_US.srt 4.7 kB
  • 23. Data Visualisation Libraries/2. Matplotlib-en_US.srt 4.6 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/1. Bar Graph Dataset Overview-en_US.srt 4.6 kB
  • 5. Introduction To Google Colab/3. Introduction To Google Colab Saving & Exporting Notebook-en_US.srt 4.6 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/10. Searching On Stack Overflow-en_US.srt 4.6 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/19. Sunburst-en_US.srt 4.5 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/12. Scatter Plot-en_US.srt 4.4 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/22. Funnel Plot-en_US.srt 4.4 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/26. Wind Rose Chart-en_US.srt 4.3 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/13. Relplot-en_US.srt 4.3 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/4. Stacked Bar Graphs-en_US.srt 4.2 kB
  • 30. How To Work With Date And Time In Python/18. DataFrame How to Get Age from Date-en_US.srt 4.1 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/18. Python KeyboardInterrupt-en_US.srt 4.0 kB
  • 19. Numpy/9. NumpyGenerating Random Values With random.randn-en_US.srt 4.0 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/16. Pie Chart-en_US.srt 4.0 kB
  • 59. Flask Tutorial/1. Flask Introduction-en_US.srt 3.9 kB
  • 28. ERRORS Handling, Fixing and Debugging Errors In Python/7. Indentation Error-en_US.srt 3.9 kB
  • 19. Numpy/6. Numpy Linspace-en_US.srt 3.9 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/27. Word Cloud Overview Of Dataset-en_US.srt 3.9 kB
  • 30. How To Work With Date And Time In Python/21. Operations on Date and Time with Dataset 3-en_US.srt 3.8 kB
  • 24. How to Plot Different Types of Data Visualisations using Various Libraries/37. Animated Plot With Matplotlib COVID 19 Dataset-en_US.srt 3.8 kB
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