[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

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[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

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种子哈希：d9ed6d527a84be2e612111993b244e005862b903
文件大小： 4.54G
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收录时间：2022-04-08
最近下载：2025-07-12

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文件列表

  • 16 Projects/002 Project - 2.mp4 177.5 MB
  • 11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • 16 Projects/001 Project - 1.mp4 106.5 MB
  • 09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • 11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • 15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • 11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • 16 Projects/003 Project - 3.mp4 86.3 MB
  • 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • 12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • 05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • 10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • 05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • 13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
  • 16 Projects/004 Project - 4.mp4 75.8 MB
  • 07 Data Frame with Pandas/011 Work with Dataset Files.mp4 74.2 MB
  • 11 Machine Learning/011 Supervised Machine Learning Methods - 4.mp4 73.7 MB
  • 07 Data Frame with Pandas/008 Dealing with Missing Data.mp4 72.6 MB
  • 03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
  • 08 Matplotlib/004 Figure, Subplot and Axes.mp4 68.8 MB
  • 12 Artificial Neural Network/008 What is TensorFlow.mp4 65.7 MB
  • 12 Artificial Neural Network/004 Tensor Operations.mp4 65.1 MB
  • 08 Matplotlib/005 Figure Customization.mp4 61.9 MB
  • 04 Object Oriented Programming/005 Overriding and Overloading.mp4 61.7 MB
  • 07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.mp4 59.7 MB
  • 09 Seaborn/007 Regression Plots and Squarify.mp4 59.2 MB
  • 11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 58.8 MB
  • 11 Machine Learning/009 Supervised Machine Learning Methods - 2.mp4 58.1 MB
  • 07 Data Frame with Pandas/005 Groupby Operations.mp4 55.1 MB
  • 08 Matplotlib/009 Basic Plots in Matplotlib II.mp4 54.0 MB
  • 09 Seaborn/003 Example.mp4 53.8 MB
  • 14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.mp4 53.3 MB
  • 07 Data Frame with Pandas/004 Multi index.mp4 53.3 MB
  • 03 Fundamentals of Python/004 Loops.mp4 51.5 MB
  • 07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.mp4 50.4 MB
  • 05 Numpy Library/003 Array and features.mp4 50.2 MB
  • 10 Geoplotlib/004 Example - 3.mp4 50.1 MB
  • 03 Fundamentals of Python/010 Exercise Solution.mp4 50.0 MB
  • 11 Machine Learning/007 Machine Learning Methods.mp4 47.8 MB
  • 09 Seaborn/004 Color Palettes.mp4 47.6 MB
  • 12 Artificial Neural Network/007 Optimizers.mp4 44.4 MB
  • 12 Artificial Neural Network/002 Anatomy of Neural Network.mp4 44.3 MB
  • 05 Numpy Library/009 NumExpr Guide.mp4 44.2 MB
  • 03 Fundamentals of Python/001 Data Types in Python.mp4 43.1 MB
  • 09 Seaborn/006 Multi-Plots in Seaborn.mp4 42.9 MB
  • 11 Machine Learning/003 Turing Machine and Turing Test.mp4 42.9 MB
  • 07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.mp4 42.8 MB
  • 03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 42.4 MB
  • 05 Numpy Library/006 Indexing and Slicing.mp4 42.3 MB
  • 09 Seaborn/002 Controlling Figure Aesthetics.mp4 41.1 MB
  • 02 Python Setup/001 Installing Anaconda Distribution and Python.mp4 39.4 MB
  • 10 Geoplotlib/002 Example - 1.mp4 38.2 MB
  • 11 Machine Learning/005 Learning representations from data.mp4 36.6 MB
  • 03 Fundamentals of Python/003 Conditionals.mp4 36.3 MB
  • 04 Object Oriented Programming/002 Constructor.mp4 35.5 MB
  • 04 Object Oriented Programming/004 Inheritance.mp4 34.2 MB
  • 10 Geoplotlib/001 What is Geoplotlib_.mp4 33.8 MB
  • 11 Machine Learning/006 Workflow of Machine Learning.mp4 33.2 MB
  • 11 Machine Learning/008 Supervised Machine Learning Methods - 1.mp4 32.4 MB
  • 12 Artificial Neural Network/005 Tensor Operations 2.mp4 31.2 MB
  • 03 Fundamentals of Python/002 Operators in Python.mp4 31.1 MB
  • 05 Numpy Library/001 What is Numpy_.mp4 28.0 MB
  • 08 Matplotlib/003 Pyplot – Pylab - Matplotlib.mp4 27.9 MB
  • 08 Matplotlib/002 Using Matplotlib.mp4 27.8 MB
  • 03 Fundamentals of Python/008 Functions in Python.mp4 27.3 MB
  • 11 Machine Learning/014 Data pre-processing.mp4 27.2 MB
  • 08 Matplotlib/006 Plot Customization.mp4 27.0 MB
  • 02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.mp4 26.6 MB
  • 11 Machine Learning/017 Evaluation.mp4 25.6 MB
  • 11 Machine Learning/002 History of Machine Learning.mp4 25.0 MB
  • 04 Object Oriented Programming/003 Methods.mp4 24.8 MB
  • 12 Artificial Neural Network/006 Keras API.mp4 24.4 MB
  • 12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.mp4 24.1 MB
  • 08 Matplotlib/007 Grid, Spines, Ticks.mp4 23.5 MB
  • 06 Using Pandas for Data Manipulation/001 What is Pandas_.mp4 23.4 MB
  • 03 Fundamentals of Python/007 Modules in Python.mp4 22.1 MB
  • 11 Machine Learning/004 What is Deep Learning.mp4 21.5 MB
  • 08 Matplotlib/001 Data Visualization with Python Masterclass.mp4 18.7 MB
  • 11 Machine Learning/013 Gathering data.mp4 18.5 MB
  • 05 Numpy Library/004 Array’s Operators.mp4 18.4 MB
  • 04 Object Oriented Programming/001 Logic of OOP.mp4 17.2 MB
  • 11 Machine Learning/001 AI, Machine Learning and Deep Learning.mp4 17.0 MB
  • 01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.mp4 15.2 MB
  • 05 Numpy Library/002 Why Numpy_.mp4 14.3 MB
  • 09 Seaborn/001 What is Seaborn_.mp4 13.5 MB
  • 03 Fundamentals of Python/009 Exercise Analyse.mp4 6.0 MB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4.vtx 453.1 kB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.en.srt 32.6 kB
  • 08 Matplotlib/008 Basic Plots in Matplotlib I.en.srt 32.3 kB
  • 17 BONUS/001 BONUS.html 30.9 kB
  • 11 Machine Learning/012 Unsupervised Machine Learning Methods.en.srt 28.3 kB
  • 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.en.srt 23.4 kB
  • 16 Projects/002 Project - 2.en.srt 22.1 kB
  • 16 Projects/001 Project - 1.en.srt 21.4 kB
  • 12 Artificial Neural Network/008 What is TensorFlow.en.srt 21.3 kB
  • 05 Numpy Library/005 Numpy Functions.en.srt 20.3 kB
  • 11 Machine Learning/011 Supervised Machine Learning Methods - 4.en.srt 19.9 kB
  • 06 Using Pandas for Data Manipulation/002 Series and Features.en.srt 19.9 kB
  • 15 Transfer Learning/001 What is Transfer Learning.en.srt 19.9 kB
  • 10 Geoplotlib/003 Example - 2.en.srt 19.7 kB
  • 03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.en.srt 18.7 kB
  • 08 Matplotlib/004 Figure, Subplot and Axes.en.srt 18.6 kB
  • 07 Data Frame with Pandas/010 Combining Data Frames Part – II.en.srt 18.6 kB
  • 07 Data Frame with Pandas/009 Combining Data Frames Part – I.en.srt 18.4 kB
  • 13 Convolutional Neural Network (CNN)/001 What is CNN_.en.srt 18.3 kB
  • 11 Machine Learning/007 Machine Learning Methods.en.srt 17.0 kB
  • 11 Machine Learning/010 Supervised Machine Learning Methods - 3.en.srt 16.8 kB
  • 07 Data Frame with Pandas/008 Dealing with Missing Data.en.srt 16.7 kB
  • 08 Matplotlib/009 Basic Plots in Matplotlib II.en.srt 16.6 kB
  • 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.en.srt 16.5 kB
  • 09 Seaborn/007 Regression Plots and Squarify.en.srt 16.5 kB
  • 11 Machine Learning/009 Supervised Machine Learning Methods - 2.en.srt 16.2 kB
  • 16 Projects/003 Project - 3.en.srt 15.9 kB
  • 05 Numpy Library/007 Numpy Exercises.en.srt 15.8 kB
  • 16 Projects/004 Project - 4.en.srt 15.6 kB
  • 14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.en.srt 15.5 kB
  • 09 Seaborn/004 Color Palettes.en.srt 15.5 kB
  • 12 Artificial Neural Network/003 Creating a Simple ANN.en.srt 15.5 kB
  • 08 Matplotlib/005 Figure Customization.en.srt 14.9 kB
  • 03 Fundamentals of Python/001 Data Types in Python.en.srt 14.4 kB
  • 11 Machine Learning/005 Learning representations from data.en.srt 14.3 kB
  • 11 Machine Learning/003 Turing Machine and Turing Test.en.srt 14.1 kB
  • 07 Data Frame with Pandas/005 Groupby Operations.en.srt 13.1 kB
  • 07 Data Frame with Pandas/004 Multi index.en.srt 12.8 kB
  • 12 Artificial Neural Network/007 Optimizers.en.srt 12.7 kB
  • 03 Fundamentals of Python/004 Loops.en.srt 12.7 kB
  • 07 Data Frame with Pandas/011 Work with Dataset Files.en.srt 12.4 kB
  • 05 Numpy Library/003 Array and features.en.srt 12.2 kB
  • 07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.en.srt 12.2 kB
  • 10 Geoplotlib/004 Example - 3.en.srt 12.1 kB
  • 12 Artificial Neural Network/004 Tensor Operations.en.srt 11.6 kB
  • 07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.en.srt 11.5 kB
  • 09 Seaborn/002 Controlling Figure Aesthetics.en.srt 11.5 kB
  • 11 Machine Learning/006 Workflow of Machine Learning.en.srt 11.4 kB
  • 09 Seaborn/006 Multi-Plots in Seaborn.en.srt 11.3 kB
  • 03 Fundamentals of Python/002 Operators in Python.en.srt 11.3 kB
  • 11 Machine Learning/008 Supervised Machine Learning Methods - 1.en.srt 11.0 kB
  • 12 Artificial Neural Network/002 Anatomy of Neural Network.en.srt 11.0 kB
  • 10 Geoplotlib/001 What is Geoplotlib_.en.srt 10.8 kB
  • 03 Fundamentals of Python/003 Conditionals.en.srt 10.3 kB
  • 09 Seaborn/003 Example.en.srt 10.2 kB
  • 10 Geoplotlib/002 Example - 1.en.srt 10.2 kB
  • 07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.en.srt 10.0 kB
  • 04 Object Oriented Programming/005 Overriding and Overloading.en.srt 10.0 kB
  • 03 Fundamentals of Python/006 Data Type Operators and Methods.en.srt 9.5 kB
  • 03 Fundamentals of Python/008 Functions in Python.en.srt 9.5 kB
  • 11 Machine Learning/015 Choosing the right algorithm and model.en.srt 9.4 kB
  • 05 Numpy Library/006 Indexing and Slicing.en.srt 9.2 kB
  • 08 Matplotlib/007 Grid, Spines, Ticks.en.srt 8.7 kB
  • 12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.en.srt 8.6 kB
  • 12 Artificial Neural Network/005 Tensor Operations 2.en.srt 8.5 kB
  • 12 Artificial Neural Network/006 Keras API.en.srt 8.5 kB
  • 11 Machine Learning/002 History of Machine Learning.en.srt 8.2 kB
  • 05 Numpy Library/009 NumExpr Guide.en.srt 8.2 kB
  • 08 Matplotlib/002 Using Matplotlib.en.srt 8.0 kB
  • 11 Machine Learning/017 Evaluation.en.srt 7.9 kB
  • 05 Numpy Library/001 What is Numpy_.en.srt 7.8 kB
  • 08 Matplotlib/003 Pyplot – Pylab - Matplotlib.en.srt 7.7 kB
  • 11 Machine Learning/004 What is Deep Learning.en.srt 7.6 kB
  • 04 Object Oriented Programming/002 Constructor.en.srt 7.3 kB
  • 04 Object Oriented Programming/004 Inheritance.en.srt 7.2 kB
  • 08 Matplotlib/006 Plot Customization.en.srt 7.1 kB
  • 03 Fundamentals of Python/010 Exercise Solution.en.srt 6.8 kB
  • 06 Using Pandas for Data Manipulation/001 What is Pandas_.en.srt 6.7 kB
  • 11 Machine Learning/014 Data pre-processing.en.srt 6.7 kB
  • 11 Machine Learning/016 Training and testing the model.en.srt 6.6 kB
  • 02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.en.srt 6.1 kB
  • 01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.en.srt 6.0 kB
  • 11 Machine Learning/013 Gathering data.en.srt 6.0 kB
  • 11 Machine Learning/001 AI, Machine Learning and Deep Learning.en.srt 5.8 kB
  • 03 Fundamentals of Python/007 Modules in Python.en.srt 5.7 kB
  • 04 Object Oriented Programming/001 Logic of OOP.en.srt 5.4 kB
  • 09 Seaborn/001 What is Seaborn_.en.srt 5.3 kB
  • 05 Numpy Library/002 Why Numpy_.en.srt 5.2 kB
  • 02 Python Setup/001 Installing Anaconda Distribution and Python.en.srt 4.9 kB
  • 05 Numpy Library/004 Array’s Operators.en.srt 4.5 kB
  • 04 Object Oriented Programming/003 Methods.en.srt 4.4 kB
  • 08 Matplotlib/001 Data Visualization with Python Masterclass.en.srt 3.8 kB
  • 03 Fundamentals of Python/009 Exercise Analyse.en.srt 2.3 kB
  • 01 Intro to Deep Learning with Python/002 Project Files and Course Documents.html 1.2 kB
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 03 Fundamentals of Python/[GigaCourse.Com].url 49 Bytes
  • 09 Seaborn/[GigaCourse.Com].url 49 Bytes
  • 16 Projects/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes

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