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Download Deep Learning and Machine Learning Practical Workout

Deep Learning and Machine Learning Practical Workout

Name

Deep Learning and Machine Learning Practical Workout

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Total Size

7.1 GB

Total Files

178

Hash

916B22269DA676D86A602887235F90FD6C45FE62

/.../1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/

6.1 DL and ML Practical Tutorials - Package.zip.zip

616.8 MB

1. Welcome Message.mp4

62.1 MB

1. Welcome Message.srt

4.4 KB

2. Updates on Udemy Reviews.mp4

24.2 MB

2. Updates on Udemy Reviews.srt

1.7 KB

3. Course overview.mp4

44.9 MB

3. Course overview.srt

12.9 KB

4. ML vs. DL vs. AI.mp4

133.2 MB

4. ML vs. DL vs. AI.srt

25.1 KB

5. ML Deep Dive.mp4

87.9 MB

5. ML Deep Dive.srt

20.9 KB

6. Download Course Materials.html

0.3 KB

7. BONUS ML vs DL vs AI.html

1.1 KB

8. BONUS 5 Benefits of Jupyter Notebook.html

2.1 KB

/

Visit Coursedrive.org.url

0.1 KB

ReadMe.txt

0.2 KB

/Deep Learning and Machine Learning Practical Workout/

ReadMe.txt

0.2 KB

Visit Coursedrive.org.url

0.1 KB

/.../2. ANACONDA AND JUPYTER INSTALLATION/

1. Download and Set up Anaconda.mp4

40.7 MB

1. Download and Set up Anaconda.srt

6.6 KB

2. What is Jupyter Notebook.mp4

28.5 MB

2. What is Jupyter Notebook.srt

5.3 KB

3. Install Tensorflow.html

0.2 KB

4. How to run a Jupyter Notebook.mp4

86.1 MB

4. How to run a Jupyter Notebook.srt

16.8 KB

/.../3. PROJECT #1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/

1. Introduction.mp4

26.9 MB

1. Introduction.srt

1.6 KB

2. Theory Part 1.mp4

81.5 MB

2. Theory Part 1.srt

20.1 KB

3. Theory Part 2.mp4

51.6 MB

3. Theory Part 2.srt

11.4 KB

4. Theory Part 3.mp4

83.3 MB

4. Theory Part 3.srt

15.9 KB

5. Theory Part 4.mp4

46.7 MB

5. Theory Part 4.srt

10.5 KB

6. Theory Part 5.mp4

32.7 MB

6. Theory Part 5.srt

8.2 KB

7. Project Overview.mp4

73.6 MB

7. Project Overview.srt

10.5 KB

8. Import Data.mp4

74.4 MB

8. Import Data.srt

14.8 KB

9. Data Visualization Cleaning.mp4

175.1 MB

9. Data Visualization Cleaning.srt

31.1 KB

10. Model Training 1.mp4

105.6 MB

10. Model Training 1.srt

28.0 KB

11. Model Training 2.mp4

74.9 MB

11. Model Training 2.srt

15.4 KB

12. Model Evaluation.mp4

86.8 MB

12. Model Evaluation.srt

18.6 KB

/.../4. PROJECT #2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/

1. Introduction.mp4

26.3 MB

1. Introduction.srt

1.5 KB

2. Theory Part 1.mp4

48.1 MB

2. Theory Part 1.srt

9.0 KB

3. Theory Part 2.mp4

130.1 MB

3. Theory Part 2.srt

27.9 KB

4. Theory Part 3.mp4

104.3 MB

4. Theory Part 3.srt

20.9 KB

5. Theory Part 4.mp4

83.8 MB

5. Theory Part 4.srt

25.1 KB

6. Problem Statement.mp4

58.5 MB

6. Problem Statement.srt

13.0 KB

7. Data Vizualization.mp4

135.3 MB

7. Data Vizualization.srt

21.7 KB

8. Data Preparation.mp4

63.8 MB

8. Data Preparation.srt

15.1 KB

9. Model Training Part 1.mp4

107.2 MB

9. Model Training Part 1.srt

26.1 KB

10. Model Training Part 2.mp4

95.1 MB

10. Model Training Part 2.srt

19.1 KB

11. Model Evaluation.mp4

110.7 MB

11. Model Evaluation.srt

21.5 KB

12. Save the Model.mp4

34.2 MB

12. Save the Model.srt

6.6 KB

13. Image Augmentation Part 1.mp4

114.8 MB

13. Image Augmentation Part 1.srt

23.6 KB

14. Image augmentation Part 2.mp4

113.1 MB

14. Image augmentation Part 2.srt

18.8 KB

/.../5. PROJECT #3 PROPHET TIME SERIES - CHICAGO CRIME RATE/

1. Introduction.mp4

21.4 MB

1. Introduction.srt

1.4 KB

2. Project Overview.mp4

74.4 MB

2. Project Overview.srt

10.5 KB

3. Import Dataset.mp4

58.4 MB

3. Import Dataset.srt

11.1 KB

4. Data Vizualization.mp4

217.5 MB

4. Data Vizualization.srt

42.0 KB

5. Prepare the Data.mp4

30.1 MB

5. Prepare the Data.srt

6.8 KB

6. Make Predictions.mp4

75.1 MB

6. Make Predictions.srt

12.9 KB

/.../6. PROJECT #4 PROPHET TIME SERIES - AVOCADO MARKET/

1. Introduction.mp4

15.8 MB

1. Introduction.srt

1.0 KB

2. Load Avocado Data.mp4

68.6 MB

2. Load Avocado Data.srt

13.7 KB

3. Explore Dataset.mp4

94.6 MB

3. Explore Dataset.srt

22.0 KB

4. Make Predictions Part 1.mp4

68.5 MB

4. Make Predictions Part 1.srt

16.3 KB

5. Make Predictions Part 2 (Region Specific).mp4

36.5 MB

5. Make Predictions Part 2 (Region Specific).srt

8.5 KB

6. Make Prediction Part 2.1.mp4

45.0 MB

6. Make Prediction Part 2.1.srt

9.4 KB

/.../7. PROJECT #5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/

1. Introduction.mp4

33.6 MB

1. Introduction.srt

2.1 KB

2. Project Overview.mp4

79.1 MB

2. Project Overview.srt

13.5 KB

3. Load Data.mp4

80.0 MB

3. Load Data.srt

18.6 KB

4. Data Exploration.mp4

62.4 MB

4. Data Exploration.srt

12.6 KB

5. Data Normalization.mp4

86.9 MB

5. Data Normalization.srt

21.8 KB

6. Model Training.mp4

190.8 MB

6. Model Training.srt

39.6 KB

7. Model Evaluation.mp4

156.5 MB

7. Model Evaluation.srt

30.9 KB

/.../8. PROJECT #6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/

1. Introduction.mp4

31.3 MB

1. Introduction.srt

1.9 KB

2. Naive Bayes Theory Part 1.mp4

134.9 MB

2. Naive Bayes Theory Part 1.srt

26.8 KB

3. Naive Bayes Theory Part 2.mp4

126.7 MB

3. Naive Bayes Theory Part 2.srt

24.3 KB

4. Spam Project Overview.mp4

79.6 MB

4. Spam Project Overview.srt

15.1 KB

5. Visualize Dataset.mp4

76.8 MB

5. Visualize Dataset.srt

15.7 KB

6. Count Vectorizer.mp4

107.3 MB

6. Count Vectorizer.srt

22.2 KB

7. Model Training Part 1.mp4

59.1 MB

7. Model Training Part 1.srt

14.3 KB

8. Model Training Part 2.mp4

35.0 MB

8. Model Training Part 2.srt

7.4 KB

9. Testing.mp4

52.5 MB

9. Testing.srt

11.1 KB

/.../9. PROJECT #7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/

1. Introduction.mp4

21.5 MB

1. Introduction.srt

1.4 KB

2. Theory.mp4

25.9 MB

2. Theory.srt

4.8 KB

3. Project Overview.mp4

39.9 MB

3. Project Overview.srt

8.9 KB

4. Load Dataset.mp4

112.6 MB

4. Load Dataset.srt

21.9 KB

5. Visualize Dataset Part 1.mp4

130.7 MB

5. Visualize Dataset Part 1.srt

27.8 KB

6. Visualize Dataset Part 2.mp4

74.5 MB

6. Visualize Dataset Part 2.srt

16.1 KB

7. Exercise #1.mp4

55.2 MB

7. Exercise #1.srt

15.1 KB

8. Exercise #2.mp4

76.2 MB

8. Exercise #2.srt

16.9 KB

9. Exercise #3.mp4

77.0 MB

9. Exercise #3.srt

17.1 KB

10. Apply NLP to Data.mp4

118.0 MB

10. Apply NLP to Data.srt

21.5 KB

11. Apply Count Vectorizer to Data.mp4

42.0 MB

11. Apply Count Vectorizer to Data.srt

6.5 KB

12. Model Training Part 1.mp4

52.6 MB

12. Model Training Part 1.srt

12.1 KB

13. Model Training Part 2.mp4

39.6 MB

13. Model Training Part 2.srt

8.2 KB

14. Model Evaluation Part 1.mp4

40.0 MB

14. Model Evaluation Part 1.srt

9.7 KB

15. Model Evaluation Part 2.mp4

117.5 MB

15. Model Evaluation Part 2.srt

19.1 KB

/.../10. PROJECT #8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/

1. Introduction.mp4

16.1 MB

1. Introduction.srt

1.1 KB

2. Theory.mp4

83.0 MB

2. Theory.srt

13.5 KB

3. Project Overview.mp4

24.3 MB

3. Project Overview.srt

5.4 KB

4. Import Movie Dataset.mp4

107.4 MB

4. Import Movie Dataset.srt

23.3 KB

5. Visualize Dataset.mp4

164.7 MB

5. Visualize Dataset.srt

31.9 KB

6. Collaborative Filter One Movie.mp4

177.5 MB

6. Collaborative Filter One Movie.srt

32.9 KB

7. Full Movie Recomendation.mp4

86.8 MB

7. Full Movie Recomendation.srt

19.5 KB

/.../11. Bonus Lectures/

1. YOUR SPECIAL BONUS.html

1.1 KB

 

Total files 178


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