FreeCourseWorld Com Udemy Complete Machine Learning and Data Science Zero to Mastery

FreeCourseWorld Com Udemy Complete Machine Learning and Data Science Zero to Mastery

Name	[FreeCourseWorld.Com] Udemy - Complete Machine Learning and Data Science Zero to Mastery	DOWNLOAD Copy Link
Total Size	20.6 GB
Total Files	820
Hash	7E4C2146635CB26455C433F1ADA8C591AF3425C1

/1. Introduction/
1. Course Outline.mp4	81.0 MB
1. Course Outline.srt	9.4 KB
2. Join Our Online Classroom!.html	2.2 KB
3. Exercise Meet The Community.html	2.6 KB
4. Your First Day.mp4	29.3 MB
4. Your First Day.srt	5.4 KB
/10. Supervised Learning Classification + Regression/
1. Milestone Projects!.html	0.7 KB
/11. Milestone Project 1 Supervised Learning (Classification)/
1. Section Overview.mp4	10.7 MB
1. Section Overview.srt	3.2 KB
10. Preparing Our Data For Machine Learning.mp4	76.1 MB
10. Preparing Our Data For Machine Learning.srt	12.3 KB
11. Choosing The Right Models.mp4	101.1 MB
11. Choosing The Right Models.srt	13.3 KB
12. Experimenting With Machine Learning Models.mp4	58.0 MB
12. Experimenting With Machine Learning Models.srt	9.9 KB
13. TuningImproving Our Model.mp4	107.8 MB
13. TuningImproving Our Model.srt	18.1 KB
14. Tuning Hyperparameters.mp4	113.2 MB
14. Tuning Hyperparameters.srt	16.0 KB
15. Tuning Hyperparameters 2.mp4	109.2 MB
15. Tuning Hyperparameters 2.srt	15.5 KB
16. Tuning Hyperparameters 3.mp4	66.1 MB
16. Tuning Hyperparameters 3.srt	10.2 KB
17. Evaluating Our Model.mp4	75.1 MB
17. Evaluating Our Model.srt	15.5 KB
18. Evaluating Our Model 2.mp4	43.6 MB
18. Evaluating Our Model 2.srt	7.6 KB
19. Evaluating Our Model 3.mp4	68.0 MB
19. Evaluating Our Model 3.srt	11.8 KB
2. Project Overview.mp4	36.1 MB
2. Project Overview.srt	10.3 KB
2.1 Structured Data Projects on GitHub.html	0.2 KB
2.2 End-to-end Heart Disease Classification Notebook (with annotations).html	0.2 KB
2.3 End-to-end Heart Disease Classification Notebook (same as in videos).html	0.2 KB
20. Finding The Most Important Features.mp4	133.7 MB
20. Finding The Most Important Features.srt	22.9 KB
21. Reviewing The Project.mp4	90.3 MB
21. Reviewing The Project.srt	14.1 KB
21.1 End-to-end Heart Disease Classification Notebook (same as in videos).html	0.2 KB
21.2 End-to-end Heart Disease Classification Notebook (with annotations).html	0.2 KB
3. Project Environment Setup.mp4	105.7 MB
3. Project Environment Setup.srt	14.7 KB
4. Step 1~4 Framework Setup.mp4	110.6 MB
4. Step 1~4 Framework Setup.srt	17.0 KB
5. Getting Our Tools Ready.mp4	83.2 MB
5. Getting Our Tools Ready.srt	13.1 KB
6. Exploring Our Data.mp4	70.1 MB
6. Exploring Our Data.srt	11.7 KB
6.1 heart-disease.csv	11.3 KB
7. Finding Patterns.mp4	66.4 MB
7. Finding Patterns.srt	13.7 KB
8. Finding Patterns 2.mp4	104.8 MB
8. Finding Patterns 2.srt	22.9 KB
9. Finding Patterns 3.mp4	144.6 MB
9. Finding Patterns 3.srt	19.3 KB
/12. Milestone Project 2 Supervised Learning (Time Series Data)/
1. Section Overview.mp4	9.4 MB
1. Section Overview.srt	1.9 KB
10. Filling Missing Categorical Values.mp4	70.2 MB
10. Filling Missing Categorical Values.srt	11.5 KB
11. Fitting A Machine Learning Model.mp4	58.2 MB
11. Fitting A Machine Learning Model.srt	10.7 KB
12. Splitting Data.mp4	86.7 MB
12. Splitting Data.srt	13.8 KB
13. Custom Evaluation Function.mp4	108.4 MB
13. Custom Evaluation Function.srt	16.5 KB
14. Reducing Data.mp4	98.0 MB
14. Reducing Data.srt	15.0 KB
15. RandomizedSearchCV.mp4	90.0 MB
15. RandomizedSearchCV.srt	13.0 KB
16. Improving Hyperparameters.mp4	83.1 MB
16. Improving Hyperparameters.srt	11.3 KB
17. Preproccessing Our Data.mp4	146.1 MB
17. Preproccessing Our Data.srt	18.2 KB
18. Making Predictions.mp4	83.1 MB
18. Making Predictions.srt	11.6 KB
19. Feature Importance.mp4	149.2 MB
19. Feature Importance.srt	17.7 KB
19.1 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html	0.2 KB
19.2 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html	0.2 KB
2. Project Overview.mp4	34.5 MB
2. Project Overview.srt	6.8 KB
2.1 Kaggle Bluebook for Bulldozers Competition.html	0.1 KB
2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html	0.2 KB
2.3 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html	0.2 KB
2.4 Structured Data Projects on GitHub.html	0.2 KB
3. Project Environment Setup.mp4	106.2 MB
3. Project Environment Setup.srt	16.3 KB
4. Step 1~4 Framework Setup.mp4	89.8 MB
4. Step 1~4 Framework Setup.srt	12.7 KB
5. Exploring Our Data.mp4	144.5 MB
5. Exploring Our Data.srt	20.5 KB
6. Exploring Our Data 2.mp4	54.6 MB
6. Exploring Our Data 2.srt	8.8 KB
7. Feature Engineering.mp4	166.9 MB
7. Feature Engineering.srt	22.7 KB
8. Turning Data Into Numbers.mp4	153.3 MB
8. Turning Data Into Numbers.srt	22.9 KB
9. Filling Missing Numerical Values.mp4	111.5 MB
9. Filling Missing Numerical Values.srt	17.3 KB
9.1 Pandas Categorical Datatype Documentation.html	0.1 KB
/13. Data Engineering/
1. Data Engineering Introduction.mp4	14.2 MB
1. Data Engineering Introduction.srt	4.4 KB
10. Optional Learn SQL.html	0.4 KB
11. Hadoop, HDFS and MapReduce.mp4	10.6 MB
11. Hadoop, HDFS and MapReduce.srt	4.8 KB
12. Apache Spark and Apache Flink.mp4	6.0 MB
12. Apache Spark and Apache Flink.srt	2.4 KB
13. Kafka and Stream Processing.mp4	20.2 MB
13. Kafka and Stream Processing.srt	5.2 KB
2. What Is Data.mp4	44.3 MB
2. What Is Data.srt	7.8 KB
2.1 Kaggle.html	0.1 KB
3. What Is A Data Engineer.mp4	15.9 MB
3. What Is A Data Engineer.srt	5.0 KB
4. What Is A Data Engineer 2.mp4	25.4 MB
4. What Is A Data Engineer 2.srt	6.5 KB
5. What Is A Data Engineer 3.mp4	25.5 MB
5. What Is A Data Engineer 3.srt	5.5 KB
6. What Is A Data Engineer 4.mp4	15.7 MB
6. What Is A Data Engineer 4.srt	4.0 KB
7. Types Of Databases.mp4	34.1 MB
7. Types Of Databases.srt	8.6 KB
7.1 A Primer on ACID Transactions.html	0.1 KB
7.2 OLTP vs OLAP.html	0.1 KB
8. Quick Note Upcoming Video.html	0.5 KB
9. Optional OLTP Databases.mp4	83.6 MB
9. Optional OLTP Databases.srt	12.4 KB
/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/
1. Section Overview.mp4	12.8 MB
1. Section Overview.srt	2.8 KB
10. Optional TensorFlow 2.0 Default Issue.mp4	29.5 MB
10. Optional TensorFlow 2.0 Default Issue.srt	4.6 KB
10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html	0.1 KB
11. Using A GPU.mp4	84.5 MB
11. Using A GPU.srt	12.4 KB
11.1 Google Colab example GPU usage.html	0.1 KB
12. Optional GPU and Google Colab.mp4	48.1 MB
12. Optional GPU and Google Colab.srt	6.1 KB
12.1 Google Colab Example of GPU speed up versus CPU.html	0.1 KB
12.2 Introduction to Google Colab example notebook.html	0.1 KB
13. Optional Reloading Colab Notebook.mp4	93.0 MB
13. Optional Reloading Colab Notebook.srt	8.0 KB
14. Loading Our Data Labels.mp4	120.4 MB
14. Loading Our Data Labels.srt	16.5 KB
14.1 Documentation on how many images Google recommends for image problems.html	0.1 KB
15. Preparing The Images.mp4	140.4 MB
15. Preparing The Images.srt	15.5 KB
16. Turning Data Labels Into Numbers.mp4	112.7 MB
16. Turning Data Labels Into Numbers.srt	14.1 KB
17. Creating Our Own Validation Set.mp4	69.7 MB
17. Creating Our Own Validation Set.srt	11.6 KB
17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html	0.1 KB
18. Preprocess Images.mp4	94.5 MB
18. Preprocess Images.srt	13.2 KB
18.1 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html	0.1 KB
18.2 Documentation for loading images in TensorFlow.html	0.1 KB
19. Preprocess Images 2.mp4	110.2 MB
19. Preprocess Images 2.srt	13.2 KB
2. Deep Learning and Unstructured Data.mp4	107.0 MB
2. Deep Learning and Unstructured Data.srt	20.7 KB
20. Turning Data Into Batches.mp4	92.0 MB
20. Turning Data Into Batches.srt	11.9 KB
21. Turning Data Into Batches 2.mp4	156.6 MB
21. Turning Data Into Batches 2.srt	20.6 KB
21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html	0.1 KB
22. Visualizing Our Data.mp4	127.9 MB
22. Visualizing Our Data.srt	16.0 KB
23. Preparing Our Inputs and Outputs.mp4	52.5 MB
23. Preparing Our Inputs and Outputs.srt	8.0 KB
23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html	0.1 KB
24. Optional How machines learn and what's going on behind the scenes.html	2.8 KB
25. Building A Deep Learning Model.mp4	127.8 MB
25. Building A Deep Learning Model.srt	16.3 KB
25.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html	0.1 KB
25.2 MobileNetV2 (the model we're using) on TensorFlow Hub.html	0.1 KB
25.3 Andrei Karpathy's talk on AI at Tesla.html	0.1 KB
25.4 Papers with Code (a great resource for some of the best machine learning papers with code examples).html	0.1 KB
25.5 PyTorch Hub (PyTorch version of TensorFlow Hub).html	0.1 KB
26. Building A Deep Learning Model 2.mp4	111.0 MB
26. Building A Deep Learning Model 2.srt	12.8 KB
26.1 Keras in TensorFlow Overview Documentation.html	0.1 KB
27. Building A Deep Learning Model 3.mp4	111.1 MB
27. Building A Deep Learning Model 3.srt	11.5 KB
27.1 The Softmax Function (activation function we use in our model).html	0.1 KB
27.2 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html	0.2 KB
27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html	0.2 KB
28. Building A Deep Learning Model 4.mp4	90.5 MB
28. Building A Deep Learning Model 4.srt	12.3 KB
28.1 [Article] How to choose loss & activation functions when building a deep learning model.html	0.2 KB
29. Summarizing Our Model.mp4	47.6 MB
29. Summarizing Our Model.srt	6.1 KB
3. Setting Up With Google.html	0.6 KB
30. Evaluating Our Model.mp4	83.1 MB
30. Evaluating Our Model.srt	10.7 KB
30.1 TensorBoard Callback Documentation.html	0.1 KB
31. Preventing Overfitting.mp4	38.3 MB
31. Preventing Overfitting.srt	5.7 KB
31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html	0.1 KB
32. Training Your Deep Neural Network.mp4	174.7 MB
32. Training Your Deep Neural Network.srt	23.6 KB
33. Evaluating Performance With TensorBoard.mp4	77.8 MB
33. Evaluating Performance With TensorBoard.srt	9.8 KB
34. Make And Transform Predictions.mp4	162.5 MB
34. Make And Transform Predictions.srt	19.6 KB
35. Transform Predictions To Text.mp4	136.2 MB
35. Transform Predictions To Text.srt	18.0 KB
35.1 TensorFlow documentation for the unbatch() function.html	0.1 KB
36. Visualizing Model Predictions.mp4	125.1 MB
36. Visualizing Model Predictions.srt	17.4 KB
37. Visualizing And Evaluate Model Predictions 2.mp4	150.8 MB
37. Visualizing And Evaluate Model Predictions 2.srt	18.1 KB
38. Visualizing And Evaluate Model Predictions 3.mp4	118.7 MB
38. Visualizing And Evaluate Model Predictions 3.srt	14.1 KB
39. Saving And Loading A Trained Model.mp4	133.2 MB
39. Saving And Loading A Trained Model.srt	17.3 KB
4. Setting Up Google Colab.mp4	77.8 MB
4. Setting Up Google Colab.srt	9.9 KB
4.1 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html	0.1 KB
4.2 Google Colab (our workspace for the upcoming project).html	0.1 KB
4.3 End-to-end Dog Vision Notebook (the project we'll be working through).html	0.2 KB
4.4 Introduction to Google Colab example notebook.html	0.1 KB
4.5 Google Colab IO example (how to get data in and out of your Colab notebook).html	0.1 KB
40. Training Model On Full Dataset.mp4	146.6 MB
40. Training Model On Full Dataset.srt	19.6 KB
41. Making Predictions On Test Images.mp4	147.7 MB
41. Making Predictions On Test Images.srt	20.8 KB
41.1 Dog Vision Prediction Probabilities Array.html	0.2 KB
42. Submitting Model to Kaggle.mp4	127.2 MB
42. Submitting Model to Kaggle.srt	17.0 KB
42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html	0.2 KB
43. Making Predictions On Our Images.mp4	125.0 MB
43. Making Predictions On Our Images.srt	19.0 KB
43.1 End-to-end Dog Vision Notebook (from the videos).html	0.2 KB
43.2 End-to-end Dog Vision Notebook (with annotations).html	0.2 KB
44. Finishing Dog Vision Where to next.html	4.0 KB
5. Google Colab Workspace.mp4	41.6 MB
5. Google Colab Workspace.srt	6.5 KB
5.1 Google Colab (our workspace for the upcoming project).html	0.1 KB
5.2 Google Colab FAQ (things you should know about Google Colab).html	0.1 KB
6. Uploading Project Data.mp4	54.5 MB
6. Uploading Project Data.srt	8.8 KB
6.1 Kaggle Dog Breed Identification Competition Data.html	0.1 KB
6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html	0.1 KB
7. Setting Up Our Data.mp4	44.3 MB
7. Setting Up Our Data.srt	6.5 KB
8. Setting Up Our Data 2.mp4	21.9 MB
8. Setting Up Our Data 2.srt	2.2 KB
9. Importing TensorFlow 2.mp4	122.4 MB
9. Importing TensorFlow 2.srt	17.2 KB
/15. Storytelling + Communication How To Present Your Work/
1. Section Overview.mp4	11.5 MB
1. Section Overview.srt	3.4 KB
2. Communicating Your Work.mp4	21.2 MB
2. Communicating Your Work.srt	5.0 KB
2.1 How to Think About Communicating and Sharing Your Work (blog post).html	0.1 KB
3. Communicating With Managers.mp4	19.3 MB
3. Communicating With Managers.srt	4.6 KB
4. Communicating With Co-Workers.mp4	19.9 MB
4. Communicating With Co-Workers.srt	5.7 KB
5. Weekend Project Principle.mp4	24.7 MB
5. Weekend Project Principle.srt	9.2 KB
6. Communicating With Outside World.mp4	15.2 MB
6. Communicating With Outside World.srt	4.6 KB
6.1 fast_template by fast.ai (a template you can use for your blog on GitHub Pages).html	0.1 KB
6.2 Devblog by Hashnode (an easy and free way to create a blog you own).html	0.1 KB
7. Storytelling.mp4	12.6 MB
7. Storytelling.srt	4.2 KB
8. Communicating and sharing your work Further reading.html	3.2 KB
/16. Career Advice + Extra Bits/
1. Endorsements On LinkedIn.html	0.7 KB
10. CWD Git + Github 2.mp4	124.1 MB
10. CWD Git + Github 2.srt	18.7 KB
11. Contributing To Open Source.mp4	136.6 MB
11. Contributing To Open Source.srt	17.5 KB
12. Contributing To Open Source 2.mp4	118.5 MB
12. Contributing To Open Source 2.srt	10.4 KB
13. Coding Challenges.html	0.9 KB
14. Exercise Contribute To Open Source.html	1.5 KB
2. Quick Note Upcoming Video.html	0.6 KB
3. What If I Don't Have Enough Experience.mp4	168.8 MB
3. What If I Don't Have Enough Experience.srt	20.5 KB
4. Learning Guideline.html	0.3 KB
5. Quick Note Upcoming Videos.html	0.6 KB
6. JTS Learn to Learn.mp4	11.7 MB
6. JTS Learn to Learn.srt	2.6 KB
7. JTS Start With Why.mp4	16.2 MB
7. JTS Start With Why.srt	3.0 KB
8. Quick Note Upcoming Videos.html	0.4 KB
9. CWD Git + Github.mp4	184.7 MB
9. CWD Git + Github.srt	21.7 KB
/17. Learn Python/
1. What Is A Programming Language.mp4	109.9 MB
1. What Is A Programming Language.srt	7.2 KB
10. Numbers.mp4	76.2 MB
10. Numbers.srt	11.4 KB
10.1 Floating point numbers.html	0.1 KB
11. Math Functions.mp4	43.8 MB
11. Math Functions.srt	5.6 KB
12. DEVELOPER FUNDAMENTALS I.mp4	62.6 MB
12. DEVELOPER FUNDAMENTALS I.srt	5.3 KB
13. Operator Precedence.mp4	15.1 MB
13. Operator Precedence.srt	3.6 KB
13.1 Exercise Repl.html	0.1 KB
14. Exercise Operator Precedence.html	0.7 KB
14.1 Exercise Repl.html	0.1 KB
15. Optional bin() and complex.mp4	23.0 MB
15. Optional bin() and complex.srt	4.9 KB
15.1 Base Numbers.html	0.1 KB
16. Variables.mp4	98.1 MB
16. Variables.srt	16.4 KB
16.1 Python Keywords.html	0.1 KB
17. Expressions vs Statements.mp4	11.5 MB
17. Expressions vs Statements.srt	1.8 KB
18. Augmented Assignment Operator.mp4	16.1 MB
18. Augmented Assignment Operator.srt	3.0 KB
18.1 Exercise Repl.html	0.1 KB
19. Strings.mp4	32.5 MB
19. Strings.srt	6.4 KB
2. Python Interpreter.mp4	98.0 MB
2. Python Interpreter.srt	8.5 KB
20. String Concatenation.mp4	7.7 MB
20. String Concatenation.srt	1.5 KB
21. Type Conversion.mp4	19.9 MB
21. Type Conversion.srt	3.2 KB
22. Escape Sequences.mp4	24.3 MB
22. Escape Sequences.srt	5.1 KB
23. Formatted Strings.mp4	51.6 MB
23. Formatted Strings.srt	9.0 KB
23.1 Exercise Repl.html	0.1 KB
24. String Indexes.mp4	51.5 MB
24. String Indexes.srt	9.4 KB
24.1 Exercise Repl.html	0.1 KB
25. Immutability.mp4	21.8 MB
25. Immutability.srt	3.6 KB
26. Built-In Functions + Methods.mp4	72.8 MB
26. Built-In Functions + Methods.srt	10.5 KB
26.1 Built in Functions.html	0.1 KB
26.2 String Methods.html	0.1 KB
27. Booleans.mp4	17.4 MB
27. Booleans.srt	4.0 KB
28. Exercise Type Conversion.mp4	52.8 MB
28. Exercise Type Conversion.srt	8.8 KB
29. DEVELOPER FUNDAMENTALS II.mp4	30.7 MB
29. DEVELOPER FUNDAMENTALS II.srt	5.4 KB
29.1 Python Comments Best Practices.html	0.1 KB
3. How To Run Python Code.mp4	67.0 MB
3. How To Run Python Code.srt	6.6 KB
30. Exercise Password Checker.mp4	53.6 MB
30. Exercise Password Checker.srt	8.1 KB
31. Lists.mp4	23.0 MB
31. Lists.srt	5.7 KB
32. List Slicing.mp4	52.3 MB
32. List Slicing.srt	8.7 KB
32.1 Exercise Repl.html	0.1 KB
33. Matrix.mp4	20.1 MB
33. Matrix.srt	4.2 KB
33.1 Exercise Repl.html	0.1 KB
34. List Methods.mp4	64.8 MB
34. List Methods.srt	11.0 KB
34.1 List Methods.html	0.1 KB
35. List Methods 2.mp4	28.7 MB
35. List Methods 2.srt	4.6 KB
35.1 Python Keywords.html	0.1 KB
35.2 Exercise Repl.html	0.1 KB
36. List Methods 3.mp4	29.0 MB
36. List Methods 3.srt	5.1 KB
37. Common List Patterns.mp4	42.4 MB
37. Common List Patterns.srt	6.0 KB
37.1 Exercise Repl.html	0.1 KB
38. List Unpacking.mp4	14.5 MB
38. List Unpacking.srt	3.0 KB
39. None.mp4	8.3 MB
39. None.srt	2.2 KB
4. Our First Python Program.mp4	49.5 MB
4. Our First Python Program.srt	9.2 KB
40. Dictionaries.mp4	34.3 MB
40. Dictionaries.srt	7.3 KB
41. DEVELOPER FUNDAMENTALS III.mp4	27.9 MB
41. DEVELOPER FUNDAMENTALS III.srt	3.7 KB
42. Dictionary Keys.mp4	21.4 MB
42. Dictionary Keys.srt	4.3 KB
43. Dictionary Methods.mp4	28.5 MB
43. Dictionary Methods.srt	5.4 KB
43.1 Dictionary Methods.html	0.1 KB
44. Dictionary Methods 2.mp4	44.4 MB
44. Dictionary Methods 2.srt	7.3 KB
44.1 Exercise Repl.html	0.1 KB
45. Tuples.mp4	26.9 MB
45. Tuples.srt	5.8 KB
46. Tuples 2.mp4	17.8 MB
46. Tuples 2.srt	3.1 KB
46.1 Tuple Methods.html	0.1 KB
47. Sets.mp4	38.8 MB
47. Sets.srt	8.6 KB
48. Sets 2.mp4	67.4 MB
48. Sets 2.srt	9.5 KB
48.1 Sets Methods.html	0.1 KB
48.2 Exercise Repl.html	0.1 KB
5. Python 2 vs Python 3.mp4	86.1 MB
5. Python 2 vs Python 3.srt	8.4 KB
5.1 Python 2 vs Python 3.html	0.2 KB
5.2 The Story of Python.html	0.1 KB
6. Exercise How Does Python Work.mp4	27.2 MB
6. Exercise How Does Python Work.srt	2.9 KB
7. Learning Python.mp4	40.4 MB
7. Learning Python.srt	2.6 KB
8. Python Data Types.mp4	30.3 MB
8. Python Data Types.srt	5.3 KB
9. How To Succeed.html	0.3 KB
/18. Learn Python Part 2/
1. Breaking The Flow.mp4	21.3 MB
1. Breaking The Flow.srt	3.1 KB
10. For Loops.mp4	36.0 MB
10. For Loops.srt	7.7 KB
11. Iterables.mp4	45.3 MB
11. Iterables.srt	7.0 KB
12. Exercise Tricky Counter.mp4	17.2 MB
12. Exercise Tricky Counter.srt	3.7 KB
12.1 Solution Repl.html	0.1 KB
13. range().mp4	29.7 MB
13. range().srt	6.0 KB
14. enumerate().mp4	26.0 MB
14. enumerate().srt	4.7 KB
15. While Loops.mp4	29.7 MB
15. While Loops.srt	7.5 KB
16. While Loops 2.mp4	27.2 MB
16. While Loops 2.srt	6.6 KB
17. break, continue, pass.mp4	23.3 MB
17. break, continue, pass.srt	5.4 KB
18. Our First GUI.mp4	52.0 MB
18. Our First GUI.srt	10.6 KB
18.1 Solution Repl.html	0.1 KB
18.2 Exercise Repl.html	0.1 KB
19. DEVELOPER FUNDAMENTALS IV.mp4	52.7 MB
19. DEVELOPER FUNDAMENTALS IV.srt	8.0 KB
2. Conditional Logic.mp4	78.2 MB
2. Conditional Logic.srt	16.0 KB
20. Exercise Find Duplicates.mp4	21.2 MB
20. Exercise Find Duplicates.srt	4.5 KB
20.1 Solution Repl.html	0.1 KB
21. Functions.mp4	51.0 MB
21. Functions.srt	9.4 KB
22. Parameters and Arguments.mp4	24.3 MB
22. Parameters and Arguments.srt	5.0 KB
23. Default Parameters and Keyword Arguments.mp4	40.0 MB
23. Default Parameters and Keyword Arguments.srt	6.1 KB
24. return.mp4	66.1 MB
24. return.srt	15.3 KB
25. Exercise Tesla.html	0.4 KB
26. Methods vs Functions.mp4	32.2 MB
26. Methods vs Functions.srt	5.4 KB
27. Docstrings.mp4	18.2 MB
27. Docstrings.srt	4.4 KB
28. Clean Code.mp4	20.6 MB
28. Clean Code.srt	5.5 KB
29. args and kwargs.mp4	45.1 MB
29. args and kwargs.srt	8.3 KB
3. Indentation In Python.mp4	29.4 MB
3. Indentation In Python.srt	5.4 KB
30. Exercise Functions.mp4	22.9 MB
30. Exercise Functions.srt	4.8 KB
30.1 Solution Repl.html	0.1 KB
31. Scope.mp4	21.1 MB
31. Scope.srt	3.9 KB
32. Scope Rules.mp4	39.5 MB
32. Scope Rules.srt	8.7 KB
33. global Keyword.mp4	38.3 MB
33. global Keyword.srt	6.8 KB
34. nonlocal Keyword.mp4	19.1 MB
34. nonlocal Keyword.srt	4.2 KB
34.1 Solution Repl.html	0.1 KB
35. Why Do We Need Scope.mp4	20.1 MB
35. Why Do We Need Scope.srt	4.9 KB
36. Pure Functions.mp4	70.6 MB
36. Pure Functions.srt	10.3 KB
37. map().mp4	40.2 MB
37. map().srt	6.4 KB
38. filter().mp4	24.7 MB
38. filter().srt	5.2 KB
39. zip().mp4	22.3 MB
39. zip().srt	3.3 KB
4. Truthy vs Falsey.mp4	44.9 MB
4. Truthy vs Falsey.srt	6.1 KB
4.1 Truthy vs Falsey Stackoverflow.html	0.2 KB
40. reduce().mp4	54.8 MB
40. reduce().srt	8.6 KB
41. List Comprehensions.mp4	55.9 MB
41. List Comprehensions.srt	9.6 KB
42. Set Comprehensions.mp4	37.1 MB
42. Set Comprehensions.srt	6.7 KB
43. Exercise Comprehensions.mp4	23.0 MB
43. Exercise Comprehensions.srt	5.1 KB
43.1 Solution Repl.html	0.1 KB
43.2 Exercise Repl.html	0.1 KB
44. Python Exam Testing Your Understanding.html	1.1 KB
45. Modules in Python.mp4	86.2 MB
45. Modules in Python.srt	13.0 KB
46. Quick Note Upcoming Videos.html	0.4 KB
47. Optional PyCharm.mp4	55.6 MB
47. Optional PyCharm.srt	10.8 KB
48. Packages in Python.mp4	75.9 MB
48. Packages in Python.srt	12.8 KB
49. Different Ways To Import.mp4	50.3 MB
49. Different Ways To Import.srt	7.7 KB
5. Ternary Operator.mp4	20.7 MB
5. Ternary Operator.srt	4.9 KB
50. Next Steps.html	1.0 KB
6. Short Circuiting.mp4	20.3 MB
6. Short Circuiting.srt	4.6 KB
7. Logical Operators.mp4	29.7 MB
7. Logical Operators.srt	8.3 KB
8. Exercise Logical Operators.mp4	48.9 MB
8. Exercise Logical Operators.srt	8.6 KB
9. is vs ==.mp4	35.2 MB
9. is vs ==.srt	8.3 KB
/19. Bonus Learn Advanced Statistics and Mathematics for FREE!/
1. Statistics and Mathematics.html	0.7 KB
/2. Machine Learning 101/
1. What Is Machine Learning.mp4	29.7 MB
1. What Is Machine Learning.srt	8.9 KB
2. AIMachine LearningData Science.mp4	20.6 MB
2. AIMachine LearningData Science.srt	6.5 KB
3. Exercise Machine Learning Playground.mp4	44.7 MB
3. Exercise Machine Learning Playground.srt	8.3 KB
3.1 Teachable Machine.html	0.1 KB
4. How Did We Get Here.mp4	32.0 MB
4. How Did We Get Here.srt	7.2 KB
5. Exercise YouTube Recommendation Engine.mp4	20.4 MB
5. Exercise YouTube Recommendation Engine.srt	5.8 KB
5.1 Machine Learning Playground.html	0.1 KB
6. Types of Machine Learning.mp4	23.9 MB
6. Types of Machine Learning.srt	5.4 KB
7. Are You Getting It Yet.html	0.2 KB
8. What Is Machine Learning Round 2.mp4	26.7 MB
8. What Is Machine Learning Round 2.srt	6.2 KB
9. Section Review.mp4	5.8 MB
9. Section Review.srt	2.4 KB
/20. Where To Go From Here/
1. Become An Alumni.html	1.8 KB
2. Thank You.mp4	11.7 MB
2. Thank You.srt	3.7 KB
/21. Extras/
1. Bonus Special Thank You Gift!.html	1.6 KB
/3. Machine Learning and Data Science Framework/
1. Section Overview.mp4	14.0 MB
1. Section Overview.srt	4.8 KB
10. Modelling - Tuning.mp4	16.8 MB
10. Modelling - Tuning.srt	5.0 KB
11. Modelling - Comparison.mp4	47.1 MB
11. Modelling - Comparison.srt	13.4 KB
12. Experimentation.mp4	22.4 MB
12. Experimentation.srt	5.1 KB
13. Tools We Will Use.mp4	28.7 MB
13. Tools We Will Use.srt	6.1 KB
14. Optional Elements of AI.html	1.0 KB
2. Introducing Our Framework.mp4	11.9 MB
2. Introducing Our Framework.srt	3.8 KB
3. 6 Step Machine Learning Framework.mp4	24.6 MB
3. 6 Step Machine Learning Framework.srt	6.8 KB
3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html	0.1 KB
4. Types of Machine Learning Problems.mp4	63.4 MB
4. Types of Machine Learning Problems.srt	14.3 KB
5. Types of Data.mp4	30.7 MB
5. Types of Data.srt	6.7 KB
6. Types of Evaluation.mp4	18.6 MB
6. Types of Evaluation.srt	4.4 KB
7. Features In Data.mp4	38.6 MB
7. Features In Data.srt	6.9 KB
8. Modelling - Splitting Data.mp4	28.9 MB
8. Modelling - Splitting Data.srt	7.9 KB
9. Modelling - Picking the Model.mp4	24.4 MB
9. Modelling - Picking the Model.srt	6.4 KB
/4. The 2 Paths/
1. The 2 Paths.mp4	10.2 MB
1. The 2 Paths.srt	4.8 KB
2. Python + Machine Learning Monthly.html	0.7 KB
/5. Data Science Environment Setup/
1. Section Overview.mp4	6.3 MB
1. Section Overview.srt	2.2 KB
10. Sharing your Conda Environment.html	2.5 KB
10.1 Conda documentation on sharing an environment.html	0.2 KB
11. Jupyter Notebook Walkthrough.mp4	70.6 MB
11. Jupyter Notebook Walkthrough.srt	15.5 KB
11.1 6-step-ml-framework.png	332.0 KB
11.2 Jupyter Notebook documentation.html	0.1 KB
11.3 heart-disease.csv	11.3 KB
11.4 Dataquest Jupyter Notebook for Beginners Tutorial.html	0.1 KB
12. Jupyter Notebook Walkthrough 2.mp4	108.9 MB
12. Jupyter Notebook Walkthrough 2.srt	23.0 KB
13. Jupyter Notebook Walkthrough 3.mp4	74.9 MB
13. Jupyter Notebook Walkthrough 3.srt	11.8 KB
2. Introducing Our Tools.mp4	20.2 MB
2. Introducing Our Tools.srt	4.4 KB
3. What is Conda.mp4	13.1 MB
3. What is Conda.srt	3.5 KB
3.1 Getting your computer ready for machine learning How.html	0.2 KB
3.2 conda-cheatsheet.pdf	206.1 KB
3.3 Getting started with Conda (documentation).html	0.1 KB
3.4 Conda documentation.html	0.1 KB
4. Conda Environments.mp4	32.0 MB
4. Conda Environments.srt	6.3 KB
5. Mac Environment Setup.mp4	151.4 MB
5. Mac Environment Setup.srt	24.5 KB
5.1 Miniconda download documentation.html	0.1 KB
6. Mac Environment Setup 2.mp4	131.6 MB
6. Mac Environment Setup 2.srt	21.2 KB
7. Windows Environment Setup.mp4	50.2 MB
7. Windows Environment Setup.srt	7.8 KB
7.1 Miniconda download documentation.html	0.1 KB
8. Windows Environment Setup 2.mp4	238.7 MB
8. Windows Environment Setup 2.srt	32.4 KB
9. Linux Environment Setup.html	1.1 KB
/6. Pandas Data Analysis/
1. Section Overview.mp4	11.4 MB
1. Section Overview.srt	3.8 KB
10. Manipulating Data 2.mp4	90.7 MB
10. Manipulating Data 2.srt	14.2 KB
10.1 pandas-anatomy-of-a-dataframe.png	341.2 KB
11. Manipulating Data 3.mp4	95.4 MB
11. Manipulating Data 3.srt	14.0 KB
11.1 Introduction to Pandas Jupyter Notebook (from the videos).html	0.2 KB
11.2 Introduction to Pandas Jupyter Notebook (with annotations).html	0.2 KB
12. Assignment Pandas Practice.html	2.1 KB
13. How To Download The Course Assignments.mp4	70.0 MB
13. How To Download The Course Assignments.srt	11.3 KB
13.1 Course notebooks - Github.html	0.1 KB
13.2 Google Colab.html	0.1 KB
2. Downloading Workbooks and Assignments.html	1.0 KB
3. Pandas Introduction.mp4	28.8 MB
3.1 Pandas Documentation.html	0.1 KB
3.2 Introduction to Pandas Jupyter Notebook (with annotations).html	0.2 KB
3.3 10-minutes to pandas (from the pandas documentation).html	0.1 KB
3.4 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html	0.2 KB
4. Series, Data Frames and CSVs.mp4	100.0 MB
4. Series, Data Frames and CSVs.srt	17.2 KB
4.1 pandas-anatomy-of-a-dataframe.png	341.2 KB
5. Data from URLs.html	1.1 KB
6. Describing Data with Pandas.mp4	79.2 MB
6. Describing Data with Pandas.srt	13.9 KB
7. Selecting and Viewing Data with Pandas.mp4	75.9 MB
7. Selecting and Viewing Data with Pandas.srt	14.9 KB
7.1 car-sales.csv	0.4 KB
8. Selecting and Viewing Data with Pandas Part 2.mp4	111.7 MB
8. Selecting and Viewing Data with Pandas Part 2.srt	18.4 KB
9. Manipulating Data.mp4	110.1 MB
9. Manipulating Data.srt	18.5 KB
9.1 Jake VanderPlas's Data Manipulation with Pandas.html	0.1 KB
9.2 car-sales-missing-data.csv	0.3 KB
/7. NumPy/
1. Section Overview.mp4	14.0 MB
1. Section Overview.srt	3.2 KB
10. Standard Deviation and Variance.mp4	53.6 MB
10. Standard Deviation and Variance.srt	9.6 KB
10.1 Standard deviation and variance explained.html	0.1 KB
11. Reshape and Transpose.mp4	56.1 MB
11. Reshape and Transpose.srt	9.8 KB
12. Dot Product vs Element Wise.mp4	88.0 MB
12. Dot Product vs Element Wise.srt	15.7 KB
12.1 Matrix Multiplication Explained.html	0.1 KB
13. Exercise Nut Butter Store Sales.mp4	95.8 MB
13. Exercise Nut Butter Store Sales.srt	17.4 KB
14. Comparison Operators.mp4	27.6 MB
14. Comparison Operators.srt	5.4 KB
15. Sorting Arrays.mp4	34.4 MB
15. Sorting Arrays.srt	9.0 KB
16. Turn Images Into NumPy Arrays.mp4	90.1 MB
16. Turn Images Into NumPy Arrays.srt	10.7 KB
16.1 numpy-images.zip	7.6 MB
16.2 Introduction to NumPy Jupyter Notebook (from the videos).html	0.2 KB
16.3 Introduction to NumPy Jupyter Notebook (with annotations).html	0.2 KB
17. Assignment NumPy Practice.html	2.2 KB
18. Optional Extra NumPy resources.html	1.0 KB
2. NumPy Introduction.mp4	28.1 MB
2. NumPy Introduction.srt	7.7 KB
2.1 Introduction to NumPy Jupyter Notebook (with annotations).html	0.2 KB
2.2 Introduction to NumPy Jupyter Notebook (from the upcoming videos).html	0.2 KB
2.3 NumPy Documentation.html	0.1 KB
3. Quick Note Correction In Next Video.html	1.3 KB
4. NumPy DataTypes and Attributes.mp4	82.8 MB
4. NumPy DataTypes and Attributes.srt	19.7 KB
5. Creating NumPy Arrays.mp4	70.0 MB
5. Creating NumPy Arrays.srt	12.7 KB
6. NumPy Random Seed.mp4	54.4 MB
6. NumPy Random Seed.srt	10.0 KB
7. Viewing Arrays and Matrices.mp4	74.1 MB
7. Viewing Arrays and Matrices.srt	13.2 KB
8. Manipulating Arrays.mp4	84.6 MB
8. Manipulating Arrays.srt	16.6 KB
8.1 Standard deviation and variance explained.html	0.1 KB
9. Manipulating Arrays 2.mp4	71.2 MB
9. Manipulating Arrays 2.srt	11.8 KB
9.1 Standard deviation and variance explained.html	0.1 KB
/8. Matplotlib Plotting and Data Visualization/
1. Section Overview.mp4	9.0 MB
1. Section Overview.srt	2.8 KB
10. Quick Note Regular Expressions.html	0.6 KB
11. Plotting From Pandas DataFrames 2.mp4	103.6 MB
11. Plotting From Pandas DataFrames 2.srt	14.0 KB
12. Plotting from Pandas DataFrames 3.mp4	78.3 MB
12. Plotting from Pandas DataFrames 3.srt	11.7 KB
13. Plotting from Pandas DataFrames 4.mp4	51.4 MB
13. Plotting from Pandas DataFrames 4.srt	9.6 KB
13.1 heart-disease.csv	11.3 KB
14. Plotting from Pandas DataFrames 5.mp4	59.7 MB
14. Plotting from Pandas DataFrames 5.srt	11.9 KB
15. Plotting from Pandas DataFrames 6.mp4	86.0 MB
15. Plotting from Pandas DataFrames 6.srt	11.3 KB
16. Plotting from Pandas DataFrames 7.mp4	125.6 MB
16. Plotting from Pandas DataFrames 7.srt	15.3 KB
17. Customizing Your Plots.mp4	96.7 MB
17. Customizing Your Plots.srt	14.3 KB
18. Customizing Your Plots 2.mp4	129.6 MB
18. Customizing Your Plots 2.srt	13.6 KB
19. Saving And Sharing Your Plots.mp4	51.9 MB
19. Saving And Sharing Your Plots.srt	6.0 KB
19.1 Introduction to Matplotlib Notebook (from the videos).html	0.2 KB
2. Matplotlib Introduction.mp4	33.0 MB
2. Matplotlib Introduction.srt	8.2 KB
2.1 Introduction to Matplotlib Jupyter Notebook (from the upcoming videos).html	0.2 KB
2.2 Matplotlib Documentation.html	0.1 KB
20. Assignment Matplotlib Practice.html	2.1 KB
3. Importing And Using Matplotlib.mp4	90.6 MB
3. Importing And Using Matplotlib.srt	16.4 KB
4. Anatomy Of A Matplotlib Figure.mp4	86.1 MB
4. Anatomy Of A Matplotlib Figure.srt	14.5 KB
4.1 matplotlib-anatomy-of-a-plot.png	378.3 KB
4.2 matplotlib-anatomy-of-a-plot-with-code.png	670.5 KB
5. Scatter Plot And Bar Plot.mp4	70.3 MB
5. Scatter Plot And Bar Plot.srt	15.0 KB
6. Histograms And Subplots.mp4	73.1 MB
6. Histograms And Subplots.srt	12.7 KB
7. Subplots Option 2.mp4	39.9 MB
7. Subplots Option 2.srt	6.6 KB
8. Quick Tip Data Visualizations.mp4	12.9 MB
8. Quick Tip Data Visualizations.srt	2.4 KB
9. Plotting From Pandas DataFrames.mp4	63.3 MB
9. Plotting From Pandas DataFrames.srt	9.2 KB
/9. Scikit-learn Creating Machine Learning Models/
1. Section Overview.mp4	13.1 MB
1. Section Overview.srt	4.2 KB
10. Quick Tip Clean, Transform, Reduce.mp4	17.3 MB
10. Quick Tip Clean, Transform, Reduce.srt	6.6 KB
11. Getting Your Data Ready Convert Data To Numbers.mp4	141.6 MB
11. Getting Your Data Ready Convert Data To Numbers.srt	23.3 KB
12. Getting Your Data Ready Handling Missing Values With Pandas.mp4	109.9 MB
12. Getting Your Data Ready Handling Missing Values With Pandas.srt	17.4 KB
13. Note Correction in the upcoming video.html	2.1 KB
14. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4	143.5 MB
14. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt	23.7 KB
15. Choosing The Right Model For Your Data.mp4	150.2 MB
15. Choosing The Right Model For Your Data.srt	21.9 KB
15.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html	0.1 KB
16. Choosing The Right Model For Your Data 2 (Regression).mp4	91.1 MB
16. Choosing The Right Model For Your Data 2 (Regression).srt	12.3 KB
17. Quick Note Decision Trees.html	0.2 KB
18. Quick Tip How ML Algorithms Work.mp4	11.6 MB
18. Quick Tip How ML Algorithms Work.srt	2.0 KB
19. Choosing The Right Model For Your Data 3 (Classification).mp4	124.6 MB
19. Choosing The Right Model For Your Data 3 (Classification).srt	17.5 KB
2. Scikit-learn Introduction.mp4	42.6 MB
2. Scikit-learn Introduction.srt	10.9 KB
2.1 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html	0.2 KB
2.2 Scikit-Learn Documentation.html	0.1 KB
2.3 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html	0.2 KB
20. Fitting A Model To The Data.mp4	59.3 MB
20. Fitting A Model To The Data.srt	9.6 KB
21. Making Predictions With Our Model.mp4	69.7 MB
21. Making Predictions With Our Model.srt	12.4 KB
22. predict() vs predict_proba().mp4	57.0 MB
22. predict() vs predict_proba().srt	11.8 KB
23. Making Predictions With Our Model (Regression).mp4	47.1 MB
23. Making Predictions With Our Model (Regression).srt	9.3 KB
24. Evaluating A Machine Learning Model (Score).mp4	91.4 MB
24. Evaluating A Machine Learning Model (Score).srt	13.2 KB
25. Evaluating A Machine Learning Model 2 (Cross Validation).mp4	100.6 MB
25. Evaluating A Machine Learning Model 2 (Cross Validation).srt	17.7 KB
26. Evaluating A Classification Model 1 (Accuracy).mp4	32.9 MB
26. Evaluating A Classification Model 1 (Accuracy).srt	6.0 KB
27. Evaluating A Classification Model 2 (ROC Curve).mp4	69.2 MB
27. Evaluating A Classification Model 2 (ROC Curve).srt	12.6 KB
28. Evaluating A Classification Model 3 (ROC Curve).mp4	53.1 MB
28. Evaluating A Classification Model 3 (ROC Curve).srt	10.3 KB
29. Evaluating A Classification Model 4 (Confusion Matrix).mp4	81.5 MB
29. Evaluating A Classification Model 4 (Confusion Matrix).srt	15.5 KB
3. Quick Note Upcoming Video.html	0.4 KB
30. Evaluating A Classification Model 5 (Confusion Matrix).mp4	66.7 MB
30. Evaluating A Classification Model 5 (Confusion Matrix).srt	11.5 KB
31. Evaluating A Classification Model 6 (Classification Report).mp4	91.5 MB
31. Evaluating A Classification Model 6 (Classification Report).srt	14.9 KB
32. Evaluating A Regression Model 1 (R2 Score).mp4	73.8 MB
32. Evaluating A Regression Model 1 (R2 Score).srt	12.3 KB
33. Evaluating A Regression Model 2 (MAE).mp4	29.9 MB
33. Evaluating A Regression Model 2 (MAE).srt	5.8 KB
34. Evaluating A Regression Model 3 (MSE).mp4	57.6 MB
34. Evaluating A Regression Model 3 (MSE).srt	9.5 KB
35. Machine Learning Model Evaluation.html	7.3 KB
36. Evaluating A Model With Cross Validation and Scoring Parameter.mp4	95.9 MB
36. Evaluating A Model With Cross Validation and Scoring Parameter.srt	18.4 KB
37. Evaluating A Model With Scikit-learn Functions.mp4	99.4 MB
37. Evaluating A Model With Scikit-learn Functions.srt	16.7 KB
38. Improving A Machine Learning Model.mp4	95.4 MB
38. Improving A Machine Learning Model.srt	15.2 KB
39. Tuning Hyperparameters.mp4	184.1 MB
39. Tuning Hyperparameters.srt	31.3 KB
4. Refresher What Is Machine Learning.mp4	92.6 MB
4. Refresher What Is Machine Learning.srt	6.5 KB
40. Tuning Hyperparameters 2.mp4	122.4 MB
40. Tuning Hyperparameters 2.srt	17.4 KB
41. Tuning Hyperparameters 3.mp4	127.7 MB
41. Tuning Hyperparameters 3.srt	19.2 KB
42. Quick Tip Correlation Analysis.mp4	17.7 MB
42. Quick Tip Correlation Analysis.srt	3.2 KB
43. Saving And Loading A Model.mp4	55.2 MB
43. Saving And Loading A Model.srt	10.1 KB
44. Saving And Loading A Model 2.mp4	59.5 MB
44. Saving And Loading A Model 2.srt	9.2 KB
45. Putting It All Together.mp4	166.0 MB
45. Putting It All Together.srt	27.1 KB
46. Putting It All Together 2.mp4	122.5 MB
46. Putting It All Together 2.srt	16.5 KB
46.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html	0.2 KB
46.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html	0.2 KB
47. Scikit-Learn Practice.html	2.1 KB
5. Quick Note Upcoming Videos.html	1.0 KB
6. Scikit-learn Cheatsheet.mp4	78.8 MB
6. Scikit-learn Cheatsheet.srt	10.3 KB
6.1 Scikit-Learn Reference Notebook.html	0.2 KB
7. Typical scikit-learn Workflow.mp4	199.4 MB
7. Typical scikit-learn Workflow.srt	32.5 KB
7.1 Example Scikit-Learn Workflow Notebook.html	0.2 KB
8. Optional Debugging Warnings In Jupyter.mp4	184.7 MB
8. Optional Debugging Warnings In Jupyter.srt	26.1 KB
9. Getting Your Data Ready Splitting Your Data.mp4	66.8 MB
9. Getting Your Data Ready Splitting Your Data.srt	12.4 KB
9.1 scikit-learn-data.zip	21.3 KB
/
[FreeCourseWorld.Com].url	0.1 KB
Total files 820