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[ WebToolTip com ] Udemy - Complete Machine Learning and Data Science With Python ML A-Z

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Name:[ WebToolTip com ] Udemy - Complete Machine Learning and Data Science With Python ML A-Z

Infohash: E29283A905908EFD175A1DBB0EFA9FC7D00DBE07

Total Size: 3.13 GB

Seeds: 29

Leechers: 6

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2026-02-07 07:30:07 (Update Now)

Torrent added: 2026-02-07 07:30:02






Torrent Files List


Get Bonus Downloads Here.url (Size: 3.13 GB) (Files: 187)

 Get Bonus Downloads Here.url

0.18 KB

 ~Get Your Files Here !

  1 - Introduction

   1 - What is Data Science English.vtt

7.68 KB

   1 - What is Data Science.mp4

34.67 MB

   2 - Describe Artificial Intelligence and Machine Learning and Deep Learning English.vtt

4.39 KB

   2 - Describe Artificial Intelligence and Machine Learning and Deep Learning.mp4

20.76 MB

   3 - Concept of Machine Learning English.vtt

10.24 KB

   3 - Concept of Machine Learning.mp4

44.62 MB

  10 - Project Customer Segmentation using Clustering

   58 - Customer Segmentation Part 1 English.vtt

6.02 KB

   58 - Customer Segmentation Part 1.mp4

23.11 MB

   59 - Bank-Customer-Segmentation.ipynb

1.23 MB

   59 - Customer Segmentation Part 2 English.vtt

15.33 KB

   59 - Customer Segmentation Part 2.mp4

102.22 MB

   60 - Customer segmentation 3 English.vtt

15.66 KB

   60 - Customer segmentation 3.mp4

105.54 MB

   61 - Customer Segmentation Part 4 English.vtt

11.66 KB

   61 - Customer Segmentation Part 4.mp4

84.47 MB

  11 - Project Fake News Detection using machine learning Python

   62 - Fake News Detection using machine learning Python English.vtt

9.19 KB

   62 - Fake News Detection using machine learning Python.mp4

35.12 MB

  12 - Project COVID19 Coronavirus Infection Probability using machine learning

   63 - Project COVID19 Coronavirus Infection Probability using machine learning English.vtt

10.21 KB

   63 - Project COVID19 Coronavirus Infection Probability using machine learning.mp4

44.78 MB

  13 - Miscellaneous

   64 - Underfitting Overfitting and best fitting in Machine Learning English.vtt

7.64 KB

   64 - Underfitting Overfitting and best fitting in Machine Learning.mp4

48.85 MB

   65 - How to avoid Overfitting in Machine Learning English.vtt

8.07 KB

   65 - How to avoid Overfitting in Machine Learning.mp4

47.36 MB

   66 - Applications of Artificial Intelligence English.vtt

14.99 KB

   66 - Applications of Artificial Intelligence.mp4

73.46 MB

   67 - Teachable Machine English.vtt

12.76 KB

   67 - Teachable Machine.mp4

37.60 MB

  14 - Python Crash Course

   68 - Python Basic Introduction English.vtt

9.16 KB

   68 - Python Basic Introduction.mp4

41.20 MB

   69 - Getting Started with Python English.vtt

14.34 KB

   69 - Getting Started with Python.mp4

42.31 MB

   70 - Python Data TypesNumbers English.vtt

6.82 KB

   70 - Python Data TypesNumbers.mp4

22.27 MB

   71 - Python Data TypesStrings English.vtt

10.28 KB

   71 - Python Data TypesStrings.mp4

26.43 MB

   72 - Python Data TypesLists English.vtt

11.06 KB

   72 - Python Data TypesLists.mp4

31.62 MB

   73 - Python Data Types Dictionary English.vtt

9.61 KB

   73 - Python Data Types Dictionary.mp4

23.16 MB

   74 - Python Data Types Sets English.vtt

12.86 KB

   74 - Python Data Types Sets.mp4

38.75 MB

   75 - Python Loops English.vtt

13.46 KB

   75 - Python Loops.mp4

41.69 MB

   76 - Decision Making English.vtt

14.00 KB

   76 - Decision Making.mp4

43.98 MB

   77 - Control Statements English.vtt

14.90 KB

   77 - Control Statements.mp4

42.85 MB

   78 - Python Functions English.vtt

20.28 KB

   78 - Python Functions.mp4

86.00 MB

  2 - Installation and Colab

   4 - Google Colab Introduction English.vtt

5.46 KB

   4 - Google Colab Introduction.mp4

13.13 MB

   5 - Anaconda Installation English.vtt

7.30 KB

   5 - Anaconda Installation.mp4

33.79 MB

   6 - Jupyter Notebook English.vtt

4.61 KB

   6 - Jupyter Notebook.mp4

13.99 MB

  3 - Python for Data Analysis Numpy

   7 - Python for Data Analysis Numpy English.vtt

16.33 KB

   7 - Python for Data Analysis Numpy.mp4

65.28 MB

   8 - linear algebra for data science English.vtt

12.50 KB

   8 - linear algebra for data science.mp4

48.31 MB

  4 - Python for Data Analysis Pandas

   10 - Pandas DataFrames English.vtt

10.43 KB

   10 - Pandas DataFrames.mp4

44.54 MB

   11 - Grouping and Filtering English.vtt

8.38 KB

   11 - Grouping and Filtering.mp4

35.36 MB

   12 - Slicing and Sorting English.vtt

6.87 KB

   12 - Slicing and Sorting.mp4

26.85 MB

   13 - Pandas Missing Values English.vtt

10.50 KB

   13 - Pandas Missing Values.mp4

47.85 MB

   13 - pandas-flightsexample.ipynb

60.92 KB

   14 - Pandas Aggregation Functions English.vtt

7.29 KB

   14 - Pandas Aggregation Functions.mp4

29.48 MB

   14 - pandas-aggregate.ipynb

19.99 KB

   9 - Pandas Series English.vtt

14.35 KB

   9 - Pandas Series.mp4

49.44 MB

   9 - pandas-series.ipynb

46.42 KB

  5 - Python for Data Visualization Matplotlib

   15 - Matplotlib Introduction English.vtt

12.14 KB

   15 - Matplotlib Introduction.mp4

45.51 MB

   16 - Matplotlib Bar Graphs English.vtt

5.07 KB

   16 - Matplotlib Bar Graphs.mp4

24.93 MB

   16 - matplotlib-bargraph-histogram.ipynb

95.49 KB

   17 - Matplotlib Histogram English.vtt

3.38 KB

   17 - Matplotlib Histogram.mp4

15.65 MB

   18 - Matplotlib Scatter Plot English.vtt

5.34 KB

   18 - Matplotlib Scatter Plot.mp4

18.89 MB

   18 - matplotliob-scatterplot.ipynb

32.53 KB

   19 - Matplotlib Area Plot English.vtt

3.87 KB

   19 - Matplotlib Area Plot.mp4

16.17 MB

   19 - area-plot.ipynb

21.24 KB

   20 - Matplotlib Pie Chart English.vtt

2.75 KB

   20 - Matplotlib Pie Chart.mp4

9.76 MB

   20 - pie-chart.ipynb

14.09 KB

   21 - Matplotlib Subplots English.vtt

4.43 KB

   21 - Matplotlib Subplots.mp4

12.69 MB

  6 - Supervised Machine Learning

   22 - What is Supervised Machine Learning and Linear Regression Algorithm English.vtt

7.66 KB

   22 - What is Supervised Machine Learning and Linear Regression Algorithm.mp4

42.01 MB

   23 - Implementation of Linear Regression English.vtt

8.75 KB

   23 - Implementation of Linear Regression.mp4

42.02 MB

   23 - salaryData.csv

0.44 KB

   23 - simple-linear-regression.ipynb

69.83 KB

   24 - Plot Linear Regression English.vtt

6.57 KB

   24 - Plot Linear Regression.mp4

28.94 MB

   25 - Implementation of Multi Linear Regression English.vtt

5.47 KB

   25 - Implementation of Multi Linear Regression.mp4

28.98 MB

   25 - home.csv

0.18 KB

   25 - multi-linear-regression.ipynb

23.80 KB

   26 - Example 2 Multilinear Regression English.vtt

7.09 KB

   26 - Example 2 Multilinear Regression.mp4

28.68 MB

   26 - marks.csv

0.14 KB

   26 - multi-linear-regression-ex2.ipynb

15.86 KB

   27 - Use Case Boston Housing Price Prediction English.vtt

12.99 KB

   27 - Use Case Boston Housing Price Prediction.mp4

82.27 MB

   27 - boston-house.ipynb

36.08 KB

   28 - Save Model English.vtt

7.43 KB

   28 - Save Model.mp4

36.27 MB

   28 - save-model.ipynb

12.04 KB

   29 - bank.csv

0.13 KB

   29 - how to implement Logistic Regression English.vtt

5.14 KB

   29 - how to implement Logistic Regression.mp4

26.34 MB

   29 - logistic-regression.ipynb

19.54 KB

   30 - Logistic Regression on Iris Flower Dataset English.vtt

10.12 KB

   30 - Logistic Regression on Iris Flower Dataset.mp4

58.83 MB

   31 - Logistic Regression on Digits Dataset English.vtt

6.42 KB

   31 - Logistic Regression on Digits Dataset.mp4

43.26 MB

   32 - Naive Bayes Classifier English.vtt

6.54 KB

   32 - Naive Bayes Classifier.mp4

33.57 MB

   33 - Implementation of Naive Bayes classifier on Wine Dataset English.vtt

8.52 KB

   33 - Implementation of Naive Bayes classifier on Wine Dataset.mp4

45.56 MB

   33 - wine-dataset-example.ipynb

12.41 KB

   34 - Introduction to Naive Bayes Classifier for Text Classification English.vtt

3.47 KB

   34 - Introduction to Naive Bayes Classifier for Text Classification.mp4

12.11 MB

   34 - classifier-basic.ipynb

2.86 KB

   35 - Implementating Naive Bayes Classifier for Text Classification English.vtt

9.13 KB

   35 - Implementating Naive Bayes Classifier for Text Classification.mp4

40.00 MB

   35 - multinomial-classifier.ipynb

10.51 KB

   36 - Introduction to Decision Tree English.vtt

5.91 KB

   36 - Introduction to Decision Tree.mp4

33.36 MB

   37 - Implementation of Decision Tree English.vtt

12.34 KB

   37 - Implementation of Decision Tree.mp4

77.58 MB

   37 - decision-tree.ipynb

35.41 KB

   38 - KNearest NeighborKNN Algorithm English.vtt

6.30 KB

   38 - KNearest NeighborKNN Algorithm.mp4

36.91 MB

   39 - Implementation of KNearest NeighborKNN Algorithm English.vtt

7.10 KB

   39 - Implementation of KNearest NeighborKNN Algorithm.mp4

36.26 MB

   39 - User-Data.csv

10.67 KB

   39 - knn-example.ipynb

7.90 KB

   40 - Support Vector Machine Algorithm English.vtt

8.38 KB

   40 - Support Vector Machine Algorithm.mp4

42.68 MB

   41 - Implementation of Support Vector Machine Algorithm English.vtt

10.39 KB

   41 - Implementation of Support Vector Machine Algorithm.mp4

64.71 MB

   41 - SVM.ipynb

196.21 KB

   42 - Random Forest Algorithm English.vtt

5.14 KB

   42 - Random Forest Algorithm.mp4

43.92 MB

   43 - Implementation of Random Forest Algorithm English.vtt

11.96 KB

   43 - Implementation of Random Forest Algorithm.mp4

59.87 MB

   43 - random-forest.ipynb

7.70 KB

  7 - UnSupervised Machine Learning

   44 - What is UnSupervised Machine Learning English.vtt

9.98 KB

   44 - What is UnSupervised Machine Learning.mp4

47.17 MB

   45 - Types of Unsupervised Learning English.vtt

11.61 KB

   45 - Types of Unsupervised Learning.mp4

47.21 MB

   46 - Advantages and Disadvantages of Unsupervised Learning English.vtt

7.31 KB

   46 - Advantages and Disadvantages of Unsupervised Learning.mp4

36.46 MB

   47 - What is clustering English.vtt

9.06 KB

   47 - What is clustering.mp4

37.57 MB

   48 - Kmeans Clustering English.vtt

10.67 KB

   48 - Kmeans Clustering.mp4

58.47 MB

   49 - Implementing Kmeans Clustering English.vtt

8.70 KB

   49 - Implementing Kmeans Clustering.mp4

35.31 MB

   50 - Image compression using Kmeans clustering Color Quantization using KMeans English.vtt

15.46 KB

   50 - Image compression using Kmeans clustering Color Quantization using KMeans.mp4

65.39 MB

  8 - Reinforcement Learning

   51 - Introduction to Reinforcement Learning English.vtt

15.36 KB

   51 - Introduction to Reinforcement Learning.mp4

38.69 MB

   52 - Qlearning algorithm in machine learning English.vtt

6.67 KB

   52 - Qlearning algorithm in machine learning.mp4

18.41 MB

  9 - Feature Engineering

   53 - What is Feature Engineering English.vtt

6.85 KB

   53 - What is Feature Engineering.mp4

26.27 MB

   54 - What is Outlier English.vtt

10.52 KB

   54 - What is Outlier.mp4

50.50 MB

   54 - heights.csv

0.16 KB

   54 - outlier-basic-IQR.ipynb

63.80 KB

   55 - outlier detection and removal using std deviation English.vtt

16.12 KB

   55 - outlier detection and removal using std deviation.mp4

66.20 MB

   55 - outlier-detection-and-removal-using-std-deviation.ipynb

64.63 KB

   56 - Z score English.vtt

9.05 KB

   56 - Z score.mp4

19.47 MB

   57 - IQR English.vtt

8.69 KB

   57 - IQR.mp4

20.53 MB

  Bonus Resources.txt

0.07 KB
 

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