Comprehensive Course on Machine Learning

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Comprehensive Course on Machine Learning

Manoj Kumar

This course is specifically designed for beginners and requires no prerequisites. It will be taught from scratch to an advanced level. Throughout this course, you will gain a comprehensive understanding of machi... Read more
Ended on Nov 25

Sep 9 - Nov 25, 2024

55 lessons

10 quizzes

0 practices

0 questions by educators

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764
Hinglish
DS & AI
Machine Learning Quiz -1
15th Sep • 2h 30m

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Started at 9:30 AM
Oct

11

Resampling Methods - Part II

Lesson 23  •  9:30 AM

Oct

12

Support Vector Machine - Part IV

Lesson 24  •  3:30 AM

Oct

14

Resampling Methods - Part III

Lesson 25  •  9:30 AM

Oct

15

Decision Tree - Part I

Lesson 26  •  9:30 AM

Oct

16

Decision Tree - Part II

Lesson 27  •  9:30 AM

Oct

17

Decision Tree - Part III

Lesson 28  •  9:30 AM

Oct

18

Decision Tree - Part IV

Lesson 29  •  9:30 AM

Oct

21

Neural Network - Part I

Lesson 30  •  9:30 AM

Oct

21

Resampling Methods - Part I

Lesson 31  •  3:30 PM

Oct

22

Neural Network - Part II

Lesson 32  •  9:30 AM

Oct

23

Neural Network - Part III

Lesson 33  •  9:30 AM

Oct

24

Neural Network - Part IV

Lesson 34  •  9:30 AM

Oct

25

Neural Network - Part V

Lesson 35  •  9:30 AM

Oct

30

KNN - Part I

Lesson 36  •  9:30 AM

Oct

31

KNN - Part II

Lesson 37  •  9:30 AM

Nov

1

Evaluation Metrics – Part I

Lesson 38  •  9:30 AM

Nov

4

Evaluation Metrics – Part II

Lesson 39  •  9:30 AM

Nov

5

Evaluation Metrics – Part III

Lesson 40  •  9:30 AM

Nov

6

Clustering - Part I

Lesson 41  •  9:30 AM

Nov

7

Clustering - Part II

Lesson 42  •  9:30 AM

Nov

8

Clustering - Part III

Lesson 43  •  9:30 AM

Nov

11

Clustering - Part IV

Lesson 44  •  9:30 AM

Nov

12

Clustering - Part V

Lesson 45  •  9:30 AM

Nov

13

Dimensionality Reduction Techniques - Part I

Lesson 46  •  9:30 AM

Nov

14

Dimensionality Reduction Techniques - Part II

Lesson 47  •  9:30 AM

Nov

15

Dimensionality Reduction Techniques - Part III

Lesson 48  •  9:30 AM

Nov

18

Dimensionality Reduction Techniques - Part IV

Lesson 49  •  9:30 AM

Nov

19

Dimensionality Reduction Techniques - Part V

Lesson 50  •  9:30 AM

Nov

20

Miscellaneous Topics -Part I

Lesson 51  •  9:30 AM

Nov

21

Miscellaneous Topics - Part II

Lesson 52  •  9:30 AM

Nov

22

Final Message

Lesson 53  •  9:30 AM

Nov

23

Neural Network - Part VI

Lesson 54  •  9:30 AM

Nov

25

Neural Network - Part VII

Lesson 55  •  9:30 AM

Week 1

Sep 9 - 15

5 lessons • 1 quiz

Sep

9

Say Hello to Machine Learning

Lesson 1  •  Sep 9  •  2h 2m

Sep

10

Linear Regression

Lesson 2  •  Sep 10  •  2h 8m

Sep

11

Linear Regression - Part II

Lesson 3  •  Sep 11  •  2h 1m

Sep

12

Linear Regression - Part III

Lesson 4  •  Sep 12  •  1h 59m

Sep

13

Concept Of Gradient Descent

Lesson 5  •  Sep 13  •  1h 58m

Sep

14

Quiz 1

Quiz 1  •  Missed  •  Sep 14

Week 2

Sep 16 - 22

5 lessons • 1 quiz

Sep

16

Gradient Descent On Linear Regression

Lesson 6  •  Sep 16  •  2h 10m

Sep

17

Polynomial Regression

Lesson 7  •  Sep 17  •  2h 8m

Sep

18

Bias-Variance Decomposition and Trade-Off

Lesson 8  •  Sep 18  •  2h 4m

Sep

19

Regularization

Lesson 9  •  Sep 19  •  2h 2m

Sep

20

Probability Theory - Part I

Lesson 10  •  Sep 20  •  1h 46m

Sep

21

Quiz 2

Quiz 2  •  Missed  •  Sep 21

Week 3

Sep 23 - 29

6 lessons • 1 quiz

Sep

23

Probability Theory - Part II

Lesson 11  •  Sep 23  •  1h 41m

Sep

24

Probability Theory + Machine Learning - Part I

Lesson 12  •  Sep 24  •  1h 10m

Sep

25

Probability Theory + Machine Learning - Part II

Lesson 13  •  Sep 25  •  1h 58m

Sep

26

Probability Theory + Machine Learning - Part III

Lesson 14  •  Sep 26  •  1h 56m

Sep

27

Logistic Regression - Part I

Lesson 15  •  Sep 27  •  1h 57m

Sep

28

Logistic Regression - Part II

Lesson 16  •  Sep 28  •  1h 53m

Sep

28

Quiz 3

Quiz 3  •  Missed  •  Sep 28

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