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WebToolTip com Udemy Machine Learning Using Python Programming

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[ WebToolTip.com ] Udemy - Machine Learning Using Python Programming

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3.0 GB

Total Files

146

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4B04682E96753357E602C43C536589886A306233

/

Get Bonus Downloads Here.url

0.2 KB

/.../1 - Introduction to Machine Learning/

1 - Introduction to Machine Learning English.vtt

6.9 KB

1 - Introduction to Machine Learning.mp4

32.0 MB

2 - 2 Features of Machine Learning English.vtt

3.1 KB

2 - 2 Features of Machine Learning.mp4

18.2 MB

3 - 3 Traditional Programming vs Machine Learning English.vtt

7.4 KB

3 - 3 Traditional Programming vs Machine Learning.mp4

22.9 MB

/.../10 - Support Vector Machines/

45 - 42 Understanding Support Vector Machines and Hyperplanes English.vtt

13.8 KB

45 - 42 Understanding Support Vector Machines and Hyperplanes.mp4

55.2 MB

46 - 43 Understanding the Kernels of SVM English.vtt

3.1 KB

46 - 43 Understanding the Kernels of SVM.mp4

14.4 MB

47 - 44 Implementing Support Vector Classifiers in Python English.vtt

8.4 KB

47 - 44 Implementing Support Vector Classifiers in Python.mp4

54.8 MB

/.../11 - K Nearest Neighbors for Classification and Regression/

48 - 45 Drawing the classification diagrams English.vtt

7.4 KB

48 - 45 Drawing the classification diagrams.mp4

31.9 MB

49 - 46 Introduction to KNearest Neighbors English.vtt

3.9 KB

49 - 46 Introduction to KNearest Neighbors.mp4

17.0 MB

50 - 47 Steps in KNN Classification and KNN Regression English.vtt

8.3 KB

50 - 47 Steps in KNN Classification and KNN Regression.mp4

37.7 MB

51 - 48 Implementing KNN Classification using sklearn English.vtt

6.9 KB

51 - 48 Implementing KNN Classification using sklearn.mp4

56.2 MB

52 - 49 Implementing KNN Regression Algorithm in Python I English.vtt

5.1 KB

52 - 49 Implementing KNN Regression Algorithm in Python I.mp4

34.1 MB

53 - 50 Implementing KNN Regression Algorithm in Python II English.vtt

2.1 KB

53 - 50 Implementing KNN Regression Algorithm in Python II.mp4

19.2 MB

/.../12 - Decision Tree Classifier Algorithm/

54 - 51 Introduction to Decision Trees English.vtt

0.9 KB

54 - 51 Introduction to Decision Trees.mp4

2.0 MB

55 - 52 Basic Tree Terminologies English.vtt

19.3 KB

55 - 52 Basic Tree Terminologies.mp4

94.4 MB

56 - 53 Example 1 for Decision Tree English.vtt

3.4 KB

56 - 53 Example 1 for Decision Tree.mp4

15.0 MB

57 - 531 Example 2 for Decision Tree English.vtt

2.7 KB

57 - 531 Example 2 for Decision Tree.mp4

9.2 MB

58 - 54 Implementation of Decision Tree Algorithm I English.vtt

3.5 KB

58 - 54 Implementation of Decision Tree Algorithm I.mp4

26.8 MB

59 - 55 Implementation of Decision Tree Algorithm II English.vtt

2.7 KB

59 - 55 Implementation of Decision Tree Algorithm II.mp4

23.6 MB

/.../13 - Random Forest Classifier Algorithm/

60 - 56 Ensemble Techniques Random Forest Classifier English.vtt

9.1 KB

60 - 56 Ensemble Techniques Random Forest Classifier.mp4

43.4 MB

61 - 57 Implementing Random Classifier in Python English.vtt

7.4 KB

61 - 57 Implementing Random Classifier in Python.mp4

56.9 MB

/.../14 - Naive Bayes Algorithm/

62 - 59 Naive Bayes Classifier English.vtt

13.9 KB

62 - 59 Naive Bayes Classifier.mp4

64.4 MB

63 - 60 Implementing Naive Bayes Classifier for wine dataset English.vtt

17.3 KB

63 - 60 Implementing Naive Bayes Classifier for wine dataset.mp4

148.6 MB

/15 - Resources/

64 - Download all the notebooks and datasets here.html

0.1 KB

/15 - Resources/Notebooks/

Decision Tree.ipynb

36.4 KB

KNN Regression.ipynb

36.7 KB

KNN.ipynb

4.6 KB

LinearRegression.ipynb

39.0 KB

LogisticRegression.ipynb

15.3 KB

MyFirstNotebook.ipynb

17.3 KB

Naive Bayes' Algorithm.ipynb

9.3 KB

Naive Bayes' Classifier.ipynb

27.0 KB

Preprocessing Techniques.ipynb

2.5 KB

Product.csv

10.9 KB

Random Forest Classifier.ipynb

9.3 KB

SVM.ipynb

8.5 KB

Salary_Data.csv

0.5 KB

car.csv

10.5 KB

/.../16 - KMeans Clustering/

65 - The complete flow of KMeans Clustering English.vtt

19.8 KB

65 - The complete flow of KMeans Clustering.mp4

93.4 MB

66 - The concept of Overfitting and Underfitting English.vtt

18.5 KB

66 - The concept of Overfitting and Underfitting.mp4

82.8 MB

/.../2 - Types of Machine Learning/

4 - 4 Difference between Supervised and Unsupervised Learning English.vtt

9.4 KB

4 - 4 Difference between Supervised and Unsupervised Learning.mp4

41.1 MB

5 - 5 Algorithms in Supervised and Unsupervised Learning English.vtt

3.9 KB

5 - 5 Algorithms in Supervised and Unsupervised Learning.mp4

13.5 MB

/.../3 - The Machine Learning Pipeline/

10 - 10 Introduction to iPython Environment English.vtt

10.6 KB

10 - 10 Introduction to iPython Environment.mp4

54.1 MB

11 - Important Libraries in Python.html

0.4 KB

6 - 6 The Machine Learning Pipeline Data Collection English.vtt

9.6 KB

6 - 6 The Machine Learning Pipeline Data Collection.mp4

45.9 MB

7 - 7 Importance of Data Prepocessing English.vtt

3.5 KB

7 - 7 Importance of Data Prepocessing.mp4

18.8 MB

8 - 8 Importance of Feature Selection and Feature Engineering English.vtt

11.0 KB

8 - 8 Importance of Feature Selection and Feature Engineering.mp4

55.0 MB

9 - 9 The Machine Learning Terminologies English.vtt

7.7 KB

9 - 9 The Machine Learning Terminologies.mp4

38.3 MB

/4 - Numpy Library/

12 - 11Creating a numpy array English.vtt

17.4 KB

12 - 11Creating a numpy array.mp4

52.0 MB

13 - 12 Processing the numpy arrays English.vtt

16.9 KB

13 - 12 Processing the numpy arrays.mp4

61.0 MB

14 - 13 Accessing Columns from Numpy Matrices English.vtt

5.1 KB

14 - 13 Accessing Columns from Numpy Matrices.mp4

19.5 MB

15 - 14 Statistical methods in Numpy English.vtt

15.0 KB

15 - 14 Statistical methods in Numpy.mp4

58.9 MB

16 - 15 Matrix Operations in Numpy English.vtt

13.9 KB

16 - 15 Matrix Operations in Numpy.mp4

56.1 MB

17 - 16 Iterating through the numpy array English.vtt

6.1 KB

17 - 16 Iterating through the numpy array.mp4

25.7 MB

/5 - Pandas Library/

18 - 17 An Intuition on Pandas Dataframe and Series English.vtt

6.7 KB

18 - 17 An Intuition on Pandas Dataframe and Series.mp4

29.5 MB

19 - 18 Using numpy arrays to create Pandas Series English.vtt

8.3 KB

19 - 18 Using numpy arrays to create Pandas Series.mp4

30.1 MB

20 - 19 Using dictionary to create Pandas Series English.vtt

7.4 KB

20 - 19 Using dictionary to create Pandas Series.mp4

27.7 MB

21 - 20 Using a scalar to create Pandas Series English.vtt

2.1 KB

21 - 20 Using a scalar to create Pandas Series.mp4

11.1 MB

22 - 21 Series Processing English.vtt

1.6 KB

22 - 21 Series Processing.mp4

8.9 MB

23 - 22 Creating Pandas Dataframe from series English.vtt

7.2 KB

23 - 22 Creating Pandas Dataframe from series.mp4

25.6 MB

24 - 23 Using lists of data to create a Pandas Dataframe English.vtt

5.1 KB

24 - 23 Using lists of data to create a Pandas Dataframe.mp4

22.0 MB

25 - 24 Another approach to create Dataframes English.vtt

4.4 KB

25 - 24 Another approach to create Dataframes.mp4

22.6 MB

26 - 25 Directly creating a pandas dataframe from numpy arrays English.vtt

1.8 KB

26 - 25 Directly creating a pandas dataframe from numpy arrays.mp4

8.6 MB

/.../6 - Analysis of Datasets using Pandas and Matplotlib Library/

27 - 26 Loading the dataset Important English.vtt

6.9 KB

27 - 26 Loading the dataset Important.mp4

33.8 MB

28 - 27 Analysis of Datasets I English.vtt

7.5 KB

28 - 27 Analysis of Datasets I.mp4

44.0 MB

29 - 28 Analysis of Datasets by Plotting II English.vtt

17.5 KB

29 - 28 Analysis of Datasets by Plotting II.mp4

74.5 MB

/.../7 - The Scikitlearn Library and Preprocessing Techniques/

30 - 29 Working with Iris Dataset from sklearn English.vtt

32.9 KB

30 - 29 Working with Iris Dataset from sklearn.mp4

203.6 MB

31 - 30 Binarization English.vtt

9.8 KB

31 - 30 Binarization.mp4

45.3 MB

32 - 31 Feature Scaling English.vtt

9.6 KB

32 - 31 Feature Scaling.mp4

49.1 MB

/.../8 - Supervised Learning Linear Regression/

33 - 32 Analysis of Linear Regression English.vtt

21.8 KB

33 - 32 Analysis of Linear Regression.mp4

77.4 MB

34 - Use of Gradient Descent Optimizer English.vtt

10.9 KB

34 - Use of Gradient Descent Optimizer.mp4

34.6 MB

35 - The Gradient Descent Optimizer Algorithm English.vtt

28.3 KB

35 - The Gradient Descent Optimizer Algorithm.mp4

85.0 MB

36 - 33 Demand vs Price Problem to understand Linear Regression English.vtt

11.9 KB

36 - 33 Demand vs Price Problem to understand Linear Regression.mp4

74.8 MB

37 - 34 Implementation of Linear Regression I English.vtt

13.0 KB

37 - 34 Implementation of Linear Regression I.mp4

79.5 MB

38 - 35 Implementation of Linear Regression II English.vtt

7.0 KB

38 - 35 Implementation of Linear Regression II.mp4

50.5 MB

39 - 36 Visualizing the LBF using matplotlib English.vtt

4.9 KB

39 - 36 Visualizing the LBF using matplotlib.mp4

24.5 MB

/.../9 - Logistic Regression for Classification Problems/

40 - 37 Why does Linear Regression fail for a classification problem English.vtt

11.5 KB

40 - 37 Why does Linear Regression fail for a classification problem.mp4

41.0 MB

41 - 38 The Sigmoid function in Logistic Regression English.vtt

6.4 KB

41 - 38 The Sigmoid function in Logistic Regression.mp4

25.2 MB

42 - 39 The Confusion Matrix English.vtt

14.6 KB

42 - 39 The Confusion Matrix.mp4

63.1 MB

43 - 40 Implementation of Logistic Regression I English.vtt

20.7 KB

43 - 40 Implementation of Logistic Regression I.mp4

157.6 MB

44 - 41 Creating an heatmap of the confusion matrix English.vtt

4.2 KB

44 - 41 Creating an heatmap of the confusion matrix.mp4

23.1 MB

~Get Your Files Here !/

Bonus Resources.txt

0.1 KB

 

Total files 146


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