Udemy - Data Science Methods and Algorithms [2025] (11.2024)

磁力链接/BT种子名称

Udemy - Data Science Methods and Algorithms [2025] (11.2024)

磁力链接/BT种子简介

种子哈希：380e5dfd7f0e5ab8d498441280ca0ff50b9dd5bf
文件大小： 17.56G
已经下载：28次
下载速度：极快
收录时间：2025-08-16
最近下载：2025-09-03

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文件列表

  • 5 - Master Classification & Supervised Learning/5 -The Decision Tree Classifier.mp4 575.8 MB
  • 4 - Master Regression, Prediction & Supervised Learning/10 -Regression Regularization, Lasso and Ridge models (X).mp4 545.6 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.mp4 532.1 MB
  • 4 - Master Regression, Prediction & Supervised Learning/11 -Decision Tree Regression models (XI).mp4 499.3 MB
  • 2 - Master Python for Data Handling/6 -Python Strings and DateTime Objects.mp4 492.5 MB
  • 4 - Master Regression, Prediction & Supervised Learning/12 -Random Forest Regression (XII).mp4 430.4 MB
  • 4 - Master Regression, Prediction & Supervised Learning/9 -Multivariate Polynomial Multiple Regression models (VIIII).mp4 428.7 MB
  • 2 - Master Python for Data Handling/21 -Python Object Oriented Programming IV Recap and More.mp4 425.6 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).mp4 408.3 MB
  • 5 - Master Classification & Supervised Learning/2 -Logistic Regression Classifier.mp4 398.2 MB
  • 5 - Master Classification & Supervised Learning/7 -Linear Discriminant Analysis (LDA) [Extra Video].mp4 383.6 MB
  • 2 - Master Python for Data Handling/19 -Python Object Oriented Programming II create your own custom objects.mp4 355.2 MB
  • 4 - Master Regression, Prediction & Supervised Learning/6 -Linear Multiple Regression model (VI).mp4 354.7 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4 350.6 MB
  • 5 - Master Classification & Supervised Learning/6 -The Random Forest Classifier.mp4 347.7 MB
  • 5 - Master Classification & Supervised Learning/3 -The Naive Bayes Classifier.mp4 344.1 MB
  • 5 - Master Classification & Supervised Learning/4 -K-Nearest Neighbor Classifier (KNN) [Extra Video].mp4 339.0 MB
  • 4 - Master Regression, Prediction & Supervised Learning/3 -The Traditional Simple Regression Model (III).mp4 332.9 MB
  • 3 - Master Pandas for Data Handling/22 -Pandas Data Preparation IV Missing Data & Imputation.mp4 327.1 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/2 -K-Means Cluster Analysis.mp4 294.9 MB
  • 1 - Introduction to Data Science Methods and Algorithms/1 -Introduction.mp4 292.3 MB
  • 3 - Master Pandas for Data Handling/23 -Pandas Data Preparation V Data Binnings [Extra Video].mp4 287.1 MB
  • 1 - Introduction to Data Science Methods and Algorithms/4 -The Conda Package Management System (optional).mp4 281.4 MB
  • 5 - Master Classification & Supervised Learning/8 -The Voting Classifier.mp4 279.4 MB
  • 2 - Master Python for Data Handling/20 -Python Object Oriented Programming III Files and Tables.mp4 278.7 MB
  • 2 - Master Python for Data Handling/3 -Python Floats.mp4 278.6 MB
  • 3 - Master Pandas for Data Handling/34 -Pandas Data Visualization VI Line plots.mp4 277.0 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/1 -Overview.mp4 271.8 MB
  • 2 - Master Python for Data Handling/1 -Overview of Python for Data Handling.mp4 268.8 MB
  • 2 - Master Python for Data Handling/11 -Python List.mp4 264.7 MB
  • 4 - Master Regression, Prediction & Supervised Learning/13 -Voting Regression (XIII).mp4 256.8 MB
  • 2 - Master Python for Data Handling/17 -Python Functions II create your own functions.mp4 246.5 MB
  • 4 - Master Regression, Prediction & Supervised Learning/7 -Linear Multiple Regression model (VII).mp4 244.3 MB
  • 2 - Master Python for Data Handling/10 -Python Dictionary.mp4 233.3 MB
  • 2 - Master Python for Data Handling/15 -Python Logic Operators and conditional code branching.mp4 231.3 MB
  • 3 - Master Pandas for Data Handling/33 -Pandas Data Visualization V Pie Charts.mp4 229.5 MB
  • 3 - Master Pandas for Data Handling/32 -Pandas Data Visualization IV Scatterplots.mp4 228.8 MB
  • 3 - Master Pandas for Data Handling/17 -Pandas Operations & Techniques Merging DataFrames.mp4 222.0 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/5 -Four Hierarchical Clustering algorithms.mp4 220.9 MB
  • 3 - Master Pandas for Data Handling/24 -Pandas Data Preparation VI Indicator Features [Extra Video].mp4 218.3 MB
  • 3 - Master Pandas for Data Handling/18 -Pandas Operations & Techniques Transpose & Pivot Functions.mp4 215.5 MB
  • 3 - Master Pandas for Data Handling/30 -Pandas Data Visualization II Histograms.mp4 212.5 MB
  • 2 - Master Python for Data Handling/5 -Python String Methods.mp4 195.7 MB
  • 4 - Master Regression, Prediction & Supervised Learning/2 -The Traditional Simple Regression Model (II).mp4 182.0 MB
  • 3 - Master Pandas for Data Handling/15 -Pandas Operations & Techniques Concatenate DataFrames.mp4 179.9 MB
  • 3 - Master Pandas for Data Handling/28 -Pandas Data Description IV Crosstabulations & Groupings.mp4 179.2 MB
  • 2 - Master Python for Data Handling/18 -Python Object Oriented Programming I Some theory.mp4 167.1 MB
  • 3 - Master Pandas for Data Handling/27 -Pandas Data Description III Descriptive Statistics.mp4 167.1 MB
  • 2 - Master Python for Data Handling/9 -Python Tuple.mp4 166.9 MB
  • 1 - Introduction to Data Science Methods and Algorithms/3 -Download and installation of the Anaconda Distribution (optional).mp4 166.3 MB
  • 3 - Master Pandas for Data Handling/3 -Creating a Pandas DataFrame from scratch.mp4 157.9 MB
  • 2 - Master Python for Data Handling/2 -Python Integers.mp4 153.9 MB
  • 3 - Master Pandas for Data Handling/21 -Pandas Data Preparation III Duplicates.mp4 152.6 MB
  • 3 - Master Pandas for Data Handling/6 -Pandas File Handling The .xlsx file format.mp4 146.6 MB
  • 3 - Master Pandas for Data Handling/31 -Pandas Data Visualization III Boxplots.mp4 139.1 MB
  • 2 - Master Python for Data Handling/13 -Python While-loop.mp4 137.5 MB
  • 3 - Master Pandas for Data Handling/14 -Pandas Operations & Techniques Scalers and Standardization.mp4 134.8 MB
  • 2 - Master Python for Data Handling/4 -Python Strings.mp4 134.3 MB
  • 3 - Master Pandas for Data Handling/26 -Pandas Data Description II Sorting and Ranking.mp4 132.2 MB
  • 3 - Master Pandas for Data Handling/13 -Pandas Operations & Techniques Conditional Selections.mp4 131.3 MB
  • 3 - Master Pandas for Data Handling/1 -Master Pandas for Data Handling Overview.mp4 130.8 MB
  • 4 - Master Regression, Prediction & Supervised Learning/1 -Regression, Prediction, and Supervised Learning. Section Overview (I).mp4 127.7 MB
  • 4 - Master Regression, Prediction & Supervised Learning/5 -Some practical and useful modelling concepts (V).mp4 126.1 MB
  • 2 - Master Python for Data Handling/14 -Python For-loop.mp4 124.1 MB
  • 5 - Master Classification & Supervised Learning/1 -Classification and Supervised Learning, overview.mp4 124.1 MB
  • 3 - Master Pandas for Data Handling/16 -Pandas Operations & Techniques Joining DataFrames.mp4 120.5 MB
  • 4 - Master Regression, Prediction & Supervised Learning/4 -Some practical and useful modelling concepts (IV).mp4 120.2 MB
  • 3 - Master Pandas for Data Handling/5 -Pandas File Handling The .csv file format.mp4 119.4 MB
  • 3 - Master Pandas for Data Handling/2 -Pandas theory and terminology.mp4 117.2 MB
  • 1 - Introduction to Data Science Methods and Algorithms/2 -Setup of the Anaconda Cloud Notebook.mp4 113.7 MB
  • 3 - Master Pandas for Data Handling/10 -Pandas Operations & Techniques DataFrame Inspection.mp4 111.6 MB
  • 3 - Master Pandas for Data Handling/12 -Pandas Operations & Techniques Row Selections.mp4 106.4 MB
  • 3 - Master Pandas for Data Handling/11 -Pandas Operations & Techniques Column Selections.mp4 105.5 MB
  • 3 - Master Pandas for Data Handling/9 -Pandas Operations & Techniques Object Inspection.mp4 105.4 MB
  • 4 - Master Regression, Prediction & Supervised Learning/8 -Multivariate Polynomial Multiple Regression models (VIII).mp4 104.5 MB
  • 2 - Master Python for Data Handling/8 -Python Set.mp4 104.4 MB
  • 3 - Master Pandas for Data Handling/20 -Pandas Data Preparation II Edit DataFrame labels.mp4 102.9 MB
  • 3 - Master Pandas for Data Handling/7 -Pandas File Handling SQL-database files and Pandas DataFrame.mp4 96.3 MB
  • 3 - Master Pandas for Data Handling/19 -Pandas Data Preparation I Overview & workflow.mp4 53.8 MB
  • 3 - Master Pandas for Data Handling/29 -Pandas Data Visualization I Overview.mp4 39.1 MB
  • 3 - Master Pandas for Data Handling/8 -Pandas Operations & Techniques Overview.mp4 33.9 MB
  • 2 - Master Python for Data Handling/16 -Python Functions I Some theory.mp4 33.0 MB
  • 3 - Master Pandas for Data Handling/25 -Pandas Data Description I Overview.mp4 30.8 MB
  • 2 - Master Python for Data Handling/12 -Overview of Python Data Transformers and Functions.mp4 24.0 MB
  • 3 - Master Pandas for Data Handling/4 -Pandas File Handling Overview.mp4 23.3 MB
  • 2 - Master Python for Data Handling/7 -Overview of Python Native Data Storage Structures.mp4 22.2 MB
  • 4 - Master Regression, Prediction & Supervised Learning/6 -DiaB.csv 97.2 kB
  • 4 - Master Regression, Prediction & Supervised Learning/7 -DiaB.csv 97.2 kB
  • 4 - Master Regression, Prediction & Supervised Learning/9 -DiaB.csv 97.2 kB
  • 4 - Master Regression, Prediction & Supervised Learning/12 -Random Forest Regression (XII).vtt 66.4 kB
  • 3 - Master Pandas for Data Handling/24 -insurance_data.csv 61.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/10 -insurance.csv 61.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/11 -insurance.csv 61.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/12 -insurance.csv 61.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/13 -insurance.csv 61.3 kB
  • 5 - Master Classification & Supervised Learning/5 -insurance.csv 61.3 kB
  • 5 - Master Classification & Supervised Learning/5 -The Decision Tree Classifier.vtt 59.0 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.vtt 54.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/10 -Regression Regularization, Lasso and Ridge models (X).vtt 52.6 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).vtt 48.2 kB
  • 4 - Master Regression, Prediction & Supervised Learning/11 -Decision Tree Regression models (XI).vtt 48.1 kB
  • 2 - Master Python for Data Handling/21 -Python Object Oriented Programming IV Recap and More.vtt 45.7 kB
  • 4 - Master Regression, Prediction & Supervised Learning/13 -Voting Regression (XIII).vtt 44.1 kB
  • 4 - Master Regression, Prediction & Supervised Learning/9 -Multivariate Polynomial Multiple Regression models (VIIII).vtt 42.7 kB
  • 4 - Master Regression, Prediction & Supervised Learning/6 -Linear Multiple Regression model (VI).vtt 40.6 kB
  • 2 - Master Python for Data Handling/6 -Python Strings and DateTime Objects.vtt 40.1 kB
  • 5 - Master Classification & Supervised Learning/2 -Logistic Regression Classifier.vtt 39.7 kB
  • 5 - Master Classification & Supervised Learning/3 -The Naive Bayes Classifier.vtt 37.8 kB
  • 5 - Master Classification & Supervised Learning/8 -The Voting Classifier.vtt 36.6 kB
  • 5 - Master Classification & Supervised Learning/7 -Linear Discriminant Analysis (LDA) [Extra Video].vtt 35.7 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).vtt 35.7 kB
  • 3 - Master Pandas for Data Handling/22 -Pandas Data Preparation IV Missing Data & Imputation.vtt 35.6 kB
  • 2 - Master Python for Data Handling/1 -Overview of Python for Data Handling.vtt 35.5 kB
  • 5 - Master Classification & Supervised Learning/6 -The Random Forest Classifier.vtt 34.8 kB
  • 5 - Master Classification & Supervised Learning/4 -K-Nearest Neighbor Classifier (KNN) [Extra Video].vtt 32.7 kB
  • 3 - Master Pandas for Data Handling/23 -Pandas Data Preparation V Data Binnings [Extra Video].vtt 32.6 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/2 -K-Means Cluster Analysis.vtt 32.1 kB
  • 1 - Introduction to Data Science Methods and Algorithms/1 -Introduction.vtt 30.6 kB
  • 4 - Master Regression, Prediction & Supervised Learning/3 -The Traditional Simple Regression Model (III).vtt 30.5 kB
  • 2 - Master Python for Data Handling/3 -Python Floats.vtt 28.9 kB
  • 3 - Master Pandas for Data Handling/30 -Pandas Data Visualization II Histograms.vtt 27.2 kB
  • 1 - Introduction to Data Science Methods and Algorithms/4 -The Conda Package Management System (optional).vtt 26.3 kB
  • 2 - Master Python for Data Handling/5 -Python String Methods.vtt 26.2 kB
  • 3 - Master Pandas for Data Handling/34 -Pandas Data Visualization VI Line plots.vtt 25.8 kB
  • 2 - Master Python for Data Handling/17 -Python Functions II create your own functions.vtt 25.0 kB
  • 3 - Master Pandas for Data Handling/33 -Pandas Data Visualization V Pie Charts.vtt 24.7 kB
  • 3 - Master Pandas for Data Handling/18 -Pandas Operations & Techniques Transpose & Pivot Functions.vtt 24.0 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/1 -Overview.vtt 23.8 kB
  • 3 - Master Pandas for Data Handling/24 -Pandas Data Preparation VI Indicator Features [Extra Video].vtt 23.0 kB
  • 2 - Master Python for Data Handling/10 -Python Dictionary.vtt 22.9 kB
  • 3 - Master Pandas for Data Handling/17 -Pandas Operations & Techniques Merging DataFrames.vtt 22.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/2 -The Traditional Simple Regression Model (II).vtt 22.1 kB
  • 3 - Master Pandas for Data Handling/32 -Pandas Data Visualization IV Scatterplots.vtt 21.9 kB
  • 4 - Master Regression, Prediction & Supervised Learning/7 -Linear Multiple Regression model (VII).vtt 21.4 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/5 -Four Hierarchical Clustering algorithms.vtt 21.2 kB
  • 2 - Master Python for Data Handling/11 -Python List.vtt 21.2 kB
  • 2 - Master Python for Data Handling/15 -Python Logic Operators and conditional code branching.vtt 21.2 kB
  • 3 - Master Pandas for Data Handling/15 -Pandas Operations & Techniques Concatenate DataFrames.vtt 20.3 kB
  • 3 - Master Pandas for Data Handling/31 -Pandas Data Visualization III Boxplots.vtt 19.6 kB
  • 3 - Master Pandas for Data Handling/28 -Pandas Data Description IV Crosstabulations & Groupings.vtt 19.6 kB
  • 1 - Introduction to Data Science Methods and Algorithms/3 -Download and installation of the Anaconda Distribution (optional).vtt 19.3 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/3 -AU_KMeans_Cluster_Analysis_Simulation.py 18.7 kB
  • 2 - Master Python for Data Handling/2 -Python Integers.vtt 18.6 kB
  • 5 - Master Classification & Supervised Learning/1 -Classification and Supervised Learning, overview.vtt 18.5 kB
  • 3 - Master Pandas for Data Handling/27 -Pandas Data Description III Descriptive Statistics.vtt 17.7 kB
  • 2 - Master Python for Data Handling/9 -Python Tuple.vtt 17.0 kB
  • 2 - Master Python for Data Handling/13 -Python While-loop.vtt 16.8 kB
  • 2 - Master Python for Data Handling/4 -Python Strings.vtt 16.8 kB
  • 5 - Master Classification & Supervised Learning/4 -penguins.csv 16.6 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/3 -penguins.csv 16.6 kB
  • 3 - Master Pandas for Data Handling/26 -Pandas Data Description II Sorting and Ranking.vtt 16.6 kB
  • 3 - Master Pandas for Data Handling/6 -Pandas File Handling The .xlsx file format.vtt 16.2 kB
  • 3 - Master Pandas for Data Handling/3 -Creating a Pandas DataFrame from scratch.vtt 16.0 kB
  • 2 - Master Python for Data Handling/20 -Python Object Oriented Programming III Files and Tables.vtt 15.9 kB
  • 5 - Master Classification & Supervised Learning/8 -Voting Classifier.py 15.8 kB
  • 3 - Master Pandas for Data Handling/21 -Pandas Data Preparation III Duplicates.vtt 15.3 kB
  • 4 - Master Regression, Prediction & Supervised Learning/12 -Random_Forest_regression.py 15.1 kB
  • 2 - Master Python for Data Handling/19 -Python Object Oriented Programming II create your own custom objects.vtt 15.0 kB
  • 3 - Master Pandas for Data Handling/11 -Pandas Operations & Techniques Column Selections.vtt 14.8 kB
  • 3 - Master Pandas for Data Handling/16 -Pandas Operations & Techniques Joining DataFrames.vtt 14.6 kB
  • 4 - Master Regression, Prediction & Supervised Learning/4 -Some practical and useful modelling concepts (IV).vtt 14.1 kB
  • 4 - Master Regression, Prediction & Supervised Learning/5 -Some practical and useful modelling concepts (V).vtt 14.0 kB
  • 3 - Master Pandas for Data Handling/1 -Master Pandas for Data Handling Overview.vtt 13.9 kB
  • 3 - Master Pandas for Data Handling/13 -Pandas Operations & Techniques Conditional Selections.vtt 13.6 kB
  • 3 - Master Pandas for Data Handling/9 -Pandas Operations & Techniques Object Inspection.vtt 13.5 kB
  • 3 - Master Pandas for Data Handling/14 -Pandas Operations & Techniques Scalers and Standardization.vtt 13.1 kB
  • 5 - Master Classification & Supervised Learning/7 -wine.csv 13.0 kB
  • 2 - Master Python for Data Handling/18 -Python Object Oriented Programming I Some theory.vtt 12.7 kB
  • 3 - Master Pandas for Data Handling/12 -Pandas Operations & Techniques Row Selections.vtt 12.6 kB
  • 3 - Master Pandas for Data Handling/2 -Pandas theory and terminology.vtt 12.5 kB
  • 3 - Master Pandas for Data Handling/5 -Pandas File Handling The .csv file format.vtt 12.0 kB
  • 1 - Introduction to Data Science Methods and Algorithms/2 -Setup of the Anaconda Cloud Notebook.vtt 11.9 kB
  • 3 - Master Pandas for Data Handling/10 -Pandas Operations & Techniques DataFrame Inspection.vtt 11.7 kB
  • 4 - Master Regression, Prediction & Supervised Learning/1 -Regression, Prediction, and Supervised Learning. Section Overview (I).vtt 11.6 kB
  • 2 - Master Python for Data Handling/8 -Python Set.vtt 11.1 kB
  • 3 - Master Pandas for Data Handling/20 -Pandas Data Preparation II Edit DataFrame labels.vtt 11.1 kB
  • 3 - Master Pandas for Data Handling/7 -Pandas File Handling SQL-database files and Pandas DataFrame.vtt 11.1 kB
  • 3 - Master Pandas for Data Handling/23 -geyser.xlsx 11.0 kB
  • 4 - Master Regression, Prediction & Supervised Learning/8 -Multivariate Polynomial Multiple Regression models (VIII).vtt 10.3 kB
  • 2 - Master Python for Data Handling/14 -Python For-loop.vtt 10.0 kB
  • 5 - Master Classification & Supervised Learning/5 -Decision_Tree_Classification.py 9.7 kB
  • 5 - Master Classification & Supervised Learning/7 -Linear_Discriminant_Analysis.py 9.5 kB
  • 4 - Master Regression, Prediction & Supervised Learning/10 -Regularization_Ridge_Lasso_Regression.py 9.1 kB
  • 4 - Master Regression, Prediction & Supervised Learning/13 -Voting_Regression_Ensemble.py 8.3 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/4 -DBscan.py 8.3 kB
  • 2 - Master Python for Data Handling/6 -Python_DateTime.py 8.0 kB
  • 5 - Master Classification & Supervised Learning/6 -Random_Forest_Classifier.py 6.8 kB
  • 2 - Master Python for Data Handling/20 -Python_OOP3.py 6.6 kB
  • 2 - Master Python for Data Handling/21 -Python_OOP4_Recap.py 6.5 kB
  • 3 - Master Pandas for Data Handling/19 -Pandas Data Preparation I Overview & workflow.vtt 6.2 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/2 -KMeans_Cluster_analysis.py 6.2 kB
  • 4 - Master Regression, Prediction & Supervised Learning/11 -DecisionTree_regression.py 6.0 kB
  • 5 - Master Classification & Supervised Learning/4 -KNN_classifier.py 5.9 kB
  • 5 - Master Classification & Supervised Learning/3 -Naive_Bayes_Gaussian.py 5.8 kB
  • 4 - Master Regression, Prediction & Supervised Learning/9 -Mult_poly_regr.py 5.8 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/5 -agglo_clustering.py 5.5 kB
  • 3 - Master Pandas for Data Handling/23 -geyser.csv 5.1 kB
  • 2 - Master Python for Data Handling/19 -Python_OOP_II.py 4.6 kB
  • 5 - Master Classification & Supervised Learning/2 -Logistic_Regression_Classifier.py 4.5 kB
  • 2 - Master Python for Data Handling/16 -Python Functions I Some theory.vtt 4.4 kB
  • 2 - Master Python for Data Handling/3 -Python_Float.py 4.3 kB
  • 3 - Master Pandas for Data Handling/29 -Pandas Data Visualization I Overview.vtt 3.9 kB
  • 2 - Master Python for Data Handling/12 -Overview of Python Data Transformers and Functions.vtt 3.7 kB
  • 3 - Master Pandas for Data Handling/8 -Pandas Operations & Techniques Overview.vtt 3.6 kB
  • 5 - Master Classification & Supervised Learning/2 -iris.csv 3.4 kB
  • 5 - Master Classification & Supervised Learning/3 -iris.csv 3.4 kB
  • 5 - Master Classification & Supervised Learning/6 -iris.csv 3.4 kB
  • 5 - Master Classification & Supervised Learning/8 -iris.csv 3.4 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/2 -iris.csv 3.4 kB
  • 6 - Master Cluster Analysis and Unsupervised Learning/6 -iris.csv 3.4 kB
  • 2 - Master Python for Data Handling/7 -Overview of Python Native Data Storage Structures.vtt 3.2 kB
  • 3 - Master Pandas for Data Handling/25 -Pandas Data Description I Overview.vtt 3.2 kB
  • 3 - Master Pandas for Data Handling/4 -Pandas File Handling Overview.vtt 3.2 kB
  • 4 - Master Regression, Prediction & Supervised Learning/7 -Linear_Multiple_Regression_Forward_Selection.py 2.4 kB
  • 4 - Master Regression, Prediction & Supervised Learning/6 -Multiple_Linear_Regression.py 2.3 kB
  • 2 - Master Python for Data Handling/5 -Python_String_Methods.py 2.0 kB
  • 2 - Master Python for Data Handling/4 -Python_Strings.py 1.8 kB
  • 3 - Master Pandas for Data Handling/17 -Pandas_Ops_Tech_Merge_dataset.py 1.8 kB
  • 3 - Master Pandas for Data Handling/15 -DataFrames.py 1.5 kB
  • 2 - Master Python for Data Handling/2 -Python_Integer.py 1.5 kB
  • 3 - Master Pandas for Data Handling/16 -Pandas_Ops_Tech_Join_DF.py 1.3 kB
  • 3 - Master Pandas for Data Handling/18 -Pandas_T_pivot_Dataset.py 1.1 kB
  • 3 - Master Pandas for Data Handling/24 -Indicator_Features.py 647 Bytes
  • 4 - Master Regression, Prediction & Supervised Learning/3 -Regression_III.py 557 Bytes
  • 2 - Master Python for Data Handling/21 -Text_file.txt 233 Bytes

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