Torrent Details for Complete Machine Learning Data Science Bootcamp 2021

Complete Machine Learning Data Science Bootcamp 2021

Torrent Info

Torrent Info

Category	Other
Added	Wednesday 25th October 2023 10:35:54 PM (3 years ago)
Size	19.2 GB
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Tags	English
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Torrent Files (848)

Filename	Size
8. Windows Environment Setup 2.mp4	227.6 MB
READ_ME.txt	425 bytes
1. Course Outline.mp4	77.3 MB
1. Course Outline.srt	9.2 KB
2. Join Our Online Classroom!.html	2.5 KB
3. Exercise Meet The Community.html	2.5 KB
4. Your First Day.mp4	27.9 MB
4. Your First Day.srt	5.3 KB
READ_ME.txt	425 bytes
1. What Is Machine Learning.mp4	28.3 MB
1. What Is Machine Learning.srt	8.7 KB
2. AIMachine LearningData Science.mp4	19.7 MB
2. AIMachine LearningData Science.srt	6.4 KB
3. Exercise Machine Learning Playground.mp4	42.6 MB
3. Exercise Machine Learning Playground.srt	8.1 KB
3.1 Teachable Machine.html	101 bytes
4. How Did We Get Here.mp4	30.5 MB
4. How Did We Get Here.srt	7.1 KB
5. Exercise YouTube Recommendation Engine.mp4	19.4 MB
5. Exercise YouTube Recommendation Engine.srt	5.7 KB
5.1 Machine Learning Playground.html	88 bytes
6. Types of Machine Learning.mp4	22.8 MB
6. Types of Machine Learning.srt	5.3 KB
7. Are You Getting It Yet.html	160 bytes
8. What Is Machine Learning Round 2.mp4	25.5 MB
8. What Is Machine Learning Round 2.srt	6.1 KB
9. Section Review.mp4	5.6 MB
9. Section Review.srt	2.3 KB
1. Section Overview.mp4	13.3 MB
1. Section Overview.srt	4.7 KB
2. Introducing Our Framework.mp4	11.4 MB
2. Introducing Our Framework.srt	3.7 KB
3. 6 Step Machine Learning Framework.mp4	23.5 MB
3. 6 Step Machine Learning Framework.srt	6.6 KB
3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html	147 bytes
4. Types of Machine Learning Problems.mp4	60.5 MB
4. Types of Machine Learning Problems.srt	14.0 KB
5. Types of Data.mp4	29.3 MB
5. Types of Data.srt	6.5 KB
6. Types of Evaluation.mp4	17.8 MB
6. Types of Evaluation.srt	4.3 KB
7. Features In Data.mp4	36.8 MB
7. Features In Data.srt	6.8 KB
8. Modelling - Splitting Data.mp4	27.5 MB
8. Modelling - Splitting Data.srt	7.7 KB
9. Modelling - Picking the Model.mp4	23.2 MB
9. Modelling - Picking the Model.srt	6.2 KB
10. Modelling - Tuning.mp4	16.0 MB
10. Modelling - Tuning.srt	4.9 KB
11. Modelling - Comparison.mp4	44.9 MB
11. Modelling - Comparison.srt	13.1 KB
12. Overfitting and Underfitting Definitions.html	2.0 KB
13. Experimentation.mp4	21.3 MB
13. Experimentation.srt	5.0 KB
14. Tools We Will Use.mp4	27.3 MB
14. Tools We Will Use.srt	6.0 KB
15. Optional Elements of AI.html	975 bytes
1. The 2 Paths.mp4	9.7 MB
1. The 2 Paths.srt	4.7 KB
2. Python + Machine Learning Monthly.html	917 bytes
3. Endorsements On LinkedIN.html	2.1 KB
1. Section Overview.mp4	6.0 MB
1. Section Overview.srt	2.1 KB
2. Introducing Our Tools.mp4	19.3 MB
2. Introducing Our Tools.srt	4.3 KB
3. What is Conda.mp4	12.5 MB
3. What is Conda.srt	3.4 KB
3.1 Getting started with Conda (documentation).html	139 bytes
3.2 conda-cheatsheet.pdf	211.3 KB
3.3 Getting your computer ready for machine learning How, what and why you should use Anaconda, Miniconda and Conda (blog post).html	167 bytes
3.4 Conda documentation.html	93 bytes
4. Conda Environments.mp4	30.6 MB
4. Conda Environments.srt	6.1 KB
5. Mac Environment Setup.mp4	144.4 MB
5. Mac Environment Setup.srt	23.9 KB
5.1 Miniconda download documentation.html	107 bytes
6. Mac Environment Setup 2.mp4	125.5 MB
6. Mac Environment Setup 2.srt	20.7 KB
7. Windows Environment Setup.mp4	47.9 MB
7. Windows Environment Setup.srt	7.6 KB
7.1 Miniconda download documentation.html	107 bytes
READ_ME.txt	425 bytes
8. Windows Environment Setup 2.srt	31.6 KB
9. Linux Environment Setup.html	1.0 KB
10. Sharing your Conda Environment.html	2.4 KB
10.1 Conda documentation on sharing an environment.html	172 bytes
11. Jupyter Notebook Walkthrough.mp4	67.3 MB
11. Jupyter Notebook Walkthrough.srt	15.1 KB
11.1 6-step-ml-framework.png	324.2 KB
11.2 heart-disease.csv	11.1 KB
11.3 Dataquest Jupyter Notebook for Beginners Tutorial.html	117 bytes
11.4 Jupyter Notebook documentation.html	111 bytes
12. Jupyter Notebook Walkthrough 2.mp4	103.9 MB
12. Jupyter Notebook Walkthrough 2.srt	22.5 KB
13. Jupyter Notebook Walkthrough 3.mp4	71.4 MB
13. Jupyter Notebook Walkthrough 3.srt	11.5 KB
1. Section Overview.mp4	10.9 MB
1. Section Overview.srt	3.7 KB
2. Downloading Workbooks and Assignments.html	967 bytes
3. Pandas Introduction.mp4	27.4 MB
3. Pandas Introduction.srt	7.0 KB
3.1 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html	191 bytes
3.2 10-minutes to pandas (from the pandas documentation).html	127 bytes
3.3 Pandas Documentation.html	106 bytes
3.4 Introduction to Pandas Jupyter Notebook (with annotations).html	185 bytes
4. Series, Data Frames and CSVs.mp4	95.4 MB
4. Series, Data Frames and CSVs.srt	16.8 KB
4.1 pandas-anatomy-of-a-dataframe.png	333.2 KB
5. Data from URLs.html	1.1 KB
6. Describing Data with Pandas.mp4	75.6 MB
6. Describing Data with Pandas.srt	13.6 KB
7. Selecting and Viewing Data with Pandas.mp4	72.3 MB
7. Selecting and Viewing Data with Pandas.srt	14.6 KB
7.1 car-sales.csv	369 bytes
8. Selecting and Viewing Data with Pandas Part 2.mp4	106.5 MB
8. Selecting and Viewing Data with Pandas Part 2.srt	17.9 KB
9. Manipulating Data.mp4	105.0 MB
9. Manipulating Data.srt	18.1 KB
9.1 Jake VanderPlas's Data Manipulation with Pandas.html	146 bytes
9.2 car-sales-missing-data.csv	287 bytes
10. Manipulating Data 2.mp4	86.5 MB
10. Manipulating Data 2.srt	13.8 KB
10.1 pandas-anatomy-of-a-dataframe.png	333.2 KB
11. Manipulating Data 3.mp4	91.0 MB
11. Manipulating Data 3.srt	13.7 KB
11.1 Introduction to Pandas Jupyter Notebook (with annotations).html	185 bytes
11.2 Introduction to Pandas Jupyter Notebook (from the videos).html	191 bytes
12. Assignment Pandas Practice.html	2.1 KB
13. How To Download The Course Assignments.mp4	66.8 MB
13. How To Download The Course Assignments.srt	11.1 KB
13.1 Google Colab.html	95 bytes
13.2 Course notebooks - Github.html	108 bytes
1. Section Overview.mp4	13.3 MB
1. Section Overview.srt	3.1 KB
2. NumPy Introduction.mp4	26.8 MB
2. NumPy Introduction.srt	7.5 KB
2.1 Introduction to NumPy Jupyter Notebook (with annotations).html	184 bytes
2.2 NumPy Documentation.html	83 bytes
2.3 Introduction to NumPy Jupyter Notebook (from the upcoming videos).html	190 bytes
3. Quick Note Correction In Next Video.html	1.2 KB
4. NumPy DataTypes and Attributes.mp4	79.0 MB
4. NumPy DataTypes and Attributes.srt	19.2 KB
5. Creating NumPy Arrays.mp4	66.8 MB
5. Creating NumPy Arrays.srt	12.4 KB
6. NumPy Random Seed.mp4	51.9 MB
6. NumPy Random Seed.srt	9.7 KB
7. Viewing Arrays and Matrices.mp4	70.6 MB
7. Viewing Arrays and Matrices.srt	12.9 KB
8. Manipulating Arrays.mp4	80.7 MB
8. Manipulating Arrays.srt	16.2 KB
8.1 Standard deviation and variance explained.html	116 bytes
9. Manipulating Arrays 2.mp4	67.9 MB
9. Manipulating Arrays 2.srt	11.5 KB
9.1 Standard deviation and variance explained.html	116 bytes
10. Standard Deviation and Variance.mp4	51.2 MB
10. Standard Deviation and Variance.srt	9.3 KB
10.1 Standard deviation and variance explained.html	116 bytes
11. Reshape and Transpose.mp4	53.5 MB
11. Reshape and Transpose.srt	9.5 KB
12. Dot Product vs Element Wise.mp4	83.9 MB
12. Dot Product vs Element Wise.srt	15.3 KB
12.1 Matrix Multiplication Explained.html	119 bytes
13. Exercise Nut Butter Store Sales.mp4	91.3 MB
13. Exercise Nut Butter Store Sales.srt	17.0 KB
14. Comparison Operators.mp4	26.4 MB
14. Comparison Operators.srt	5.3 KB
15. Sorting Arrays.mp4	32.8 MB
15. Sorting Arrays.srt	8.8 KB
16. Turn Images Into NumPy Arrays.mp4	85.9 MB
16. Turn Images Into NumPy Arrays.srt	10.4 KB
16.1 Introduction to NumPy Jupyter Notebook (from the videos).html	190 bytes
16.2 Introduction to NumPy Jupyter Notebook (with annotations).html	184 bytes
16.3 numpy-images.zip	7.3 MB
17. Assignment NumPy Practice.html	2.2 KB
18. Optional Extra NumPy resources.html	1.0 KB
1. Section Overview.mp4	8.6 MB
1. Section Overview.srt	2.7 KB
2. Matplotlib Introduction.mp4	31.5 MB
2. Matplotlib Introduction.srt	8.0 KB
2.1 Introduction to Matplotlib Jupyter Notebook (from the upcoming videos).html	195 bytes
2.2 Matplotlib Documentation.html	103 bytes
3. Importing And Using Matplotlib.mp4	86.4 MB
3. Importing And Using Matplotlib.srt	16.0 KB
4. Anatomy Of A Matplotlib Figure.mp4	82.2 MB
4. Anatomy Of A Matplotlib Figure.srt	14.2 KB
4.1 matplotlib-anatomy-of-a-plot-with-code.png	654.8 KB
4.2 matplotlib-anatomy-of-a-plot.png	369.4 KB
5. Scatter Plot And Bar Plot.mp4	67.0 MB
5. Scatter Plot And Bar Plot.srt	14.7 KB
6. Histograms And Subplots.mp4	69.7 MB
6. Histograms And Subplots.srt	12.4 KB
7. Subplots Option 2.mp4	38.1 MB
7. Subplots Option 2.srt	6.4 KB
8. Quick Tip Data Visualizations.mp4	12.3 MB
8. Quick Tip Data Visualizations.srt	2.3 KB
9. Plotting From Pandas DataFrames.mp4	60.3 MB
9. Plotting From Pandas DataFrames.srt	9.0 KB
10. Quick Note Regular Expressions.html	632 bytes
11. Plotting From Pandas DataFrames 2.mp4	98.8 MB
11. Plotting From Pandas DataFrames 2.srt	13.6 KB
12. Plotting from Pandas DataFrames 3.mp4	74.7 MB
12. Plotting from Pandas DataFrames 3.srt	11.5 KB
13. Plotting from Pandas DataFrames 4.mp4	49.0 MB
13. Plotting from Pandas DataFrames 4.srt	9.4 KB
13.1 heart-disease.csv	11.1 KB
14. Plotting from Pandas DataFrames 5.mp4	57.0 MB
14. Plotting from Pandas DataFrames 5.srt	11.6 KB
15. Plotting from Pandas DataFrames 6.mp4	82.0 MB
15. Plotting from Pandas DataFrames 6.srt	11.1 KB
16. Plotting from Pandas DataFrames 7.mp4	119.8 MB
16. Plotting from Pandas DataFrames 7.srt	14.9 KB
17. Customizing Your Plots.mp4	92.2 MB
17. Customizing Your Plots.srt	14.0 KB
18. Customizing Your Plots 2.mp4	123.6 MB
18. Customizing Your Plots 2.srt	13.3 KB
19. Saving And Sharing Your Plots.mp4	49.5 MB
19. Saving And Sharing Your Plots.srt	5.8 KB
19.1 Introduction to Matplotlib Notebook (from the videos).html	195 bytes
20. Assignment Matplotlib Practice.html	2.1 KB
1. Section Overview.mp4	12.5 MB
1. Section Overview.srt	4.1 KB
2. Scikit-learn Introduction.mp4	40.6 MB
2. Scikit-learn Introduction.srt	10.6 KB
2.1 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html	197 bytes
2.2 Scikit-Learn Documentation.html	108 bytes
2.3 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html	191 bytes
3. Quick Note Upcoming Video.html	390 bytes
4. Refresher What Is Machine Learning.mp4	88.3 MB
4. Refresher What Is Machine Learning.srt	6.3 KB
5. Quick Note Upcoming Videos.html	1018 bytes
6. Scikit-learn Cheatsheet.mp4	75.1 MB
6. Scikit-learn Cheatsheet.srt	10.1 KB
6.1 Scikit-Learn Reference Notebook.html	194 bytes
7. Typical scikit-learn Workflow.mp4	190.2 MB
7. Typical scikit-learn Workflow.srt	31.7 KB
7.1 Example Scikit-Learn Workflow Notebook.html	192 bytes
8. Optional Debugging Warnings In Jupyter.mp4	176.1 MB
8. Optional Debugging Warnings In Jupyter.srt	25.5 KB
9. Getting Your Data Ready Splitting Your Data.mp4	63.7 MB
9. Getting Your Data Ready Splitting Your Data.srt	12.1 KB
9.1 scikit-learn-data.zip	20.8 KB
10. Quick Tip Clean, Transform, Reduce.mp4	16.5 MB
10. Quick Tip Clean, Transform, Reduce.srt	6.4 KB
11. Getting Your Data Ready Convert Data To Numbers.mp4	135.0 MB
11. Getting Your Data Ready Convert Data To Numbers.srt	22.7 KB
12. Getting Your Data Ready Handling Missing Values With Pandas.mp4	104.8 MB
12. Getting Your Data Ready Handling Missing Values With Pandas.srt	16.9 KB
13. Extension Feature Scaling.html	2.9 KB
14. Note Correction in the upcoming video (splitting data).html	2.2 KB
15. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4	136.9 MB
15. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt	23.1 KB
16. Choosing The Right Model For Your Data.mp4	143.3 MB
16. Choosing The Right Model For Your Data.srt	21.4 KB
16.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html	133 bytes
17. Choosing The Right Model For Your Data 2 (Regression).mp4	86.9 MB
17. Choosing The Right Model For Your Data 2 (Regression).srt	12.0 KB
18. Quick Note Decision Trees.html	221 bytes
19. Quick Tip How ML Algorithms Work.mp4	11.1 MB
19. Quick Tip How ML Algorithms Work.srt	1.9 KB
20. Choosing The Right Model For Your Data 3 (Classification).mp4	118.8 MB
20. Choosing The Right Model For Your Data 3 (Classification).srt	17.1 KB
21. Fitting A Model To The Data.mp4	56.6 MB
21. Fitting A Model To The Data.srt	9.3 KB
22. Making Predictions With Our Model.mp4	66.5 MB
22. Making Predictions With Our Model.srt	12.1 KB
23. predict() vs predict_proba().mp4	54.3 MB
23. predict() vs predict_proba().srt	11.6 KB
24. Making Predictions With Our Model (Regression).mp4	44.9 MB
24. Making Predictions With Our Model (Regression).srt	9.1 KB
25. Evaluating A Machine Learning Model (Score).mp4	87.1 MB
25. Evaluating A Machine Learning Model (Score).srt	12.9 KB
26. Evaluating A Machine Learning Model 2 (Cross Validation).mp4	96.0 MB
26. Evaluating A Machine Learning Model 2 (Cross Validation).srt	17.3 KB
27. Evaluating A Classification Model 1 (Accuracy).mp4	31.4 MB
27. Evaluating A Classification Model 1 (Accuracy).srt	5.9 KB
28. Evaluating A Classification Model 2 (ROC Curve).mp4	66.0 MB
28. Evaluating A Classification Model 2 (ROC Curve).srt	12.3 KB
29. Evaluating A Classification Model 3 (ROC Curve).mp4	50.6 MB
29. Evaluating A Classification Model 3 (ROC Curve).srt	10.0 KB
30. Reading Extension ROC Curve + AUC.html	1.5 KB
31. Evaluating A Classification Model 4 (Confusion Matrix).mp4	77.7 MB
31. Evaluating A Classification Model 4 (Confusion Matrix).srt	15.1 KB
31.1 Notebook from video with updated confusion matrix labels.html	191 bytes
32. Evaluating A Classification Model 5 (Confusion Matrix).mp4	63.8 MB
32. Evaluating A Classification Model 5 (Confusion Matrix).srt	11.2 KB
33. Evaluating A Classification Model 6 (Classification Report).mp4	87.2 MB
33. Evaluating A Classification Model 6 (Classification Report).srt	14.6 KB
34. Evaluating A Regression Model 1 (R2 Score).mp4	70.4 MB
34. Evaluating A Regression Model 1 (R2 Score).srt	12.0 KB
35. Evaluating A Regression Model 2 (MAE).mp4	28.5 MB
35. Evaluating A Regression Model 2 (MAE).srt	5.7 KB
36. Evaluating A Regression Model 3 (MSE).mp4	54.9 MB
36. Evaluating A Regression Model 3 (MSE).srt	9.2 KB
37. Machine Learning Model Evaluation.html	7.1 KB
38. Evaluating A Model With Cross Validation and Scoring Parameter.mp4	91.5 MB
38. Evaluating A Model With Cross Validation and Scoring Parameter.srt	18.0 KB
39. Evaluating A Model With Scikit-learn Functions.mp4	94.8 MB
39. Evaluating A Model With Scikit-learn Functions.srt	16.3 KB
40. Improving A Machine Learning Model.mp4	90.9 MB
40. Improving A Machine Learning Model.srt	14.9 KB
41. Tuning Hyperparameters.mp4	175.7 MB
41. Tuning Hyperparameters.srt	30.6 KB
42. Tuning Hyperparameters 2.mp4	116.8 MB
42. Tuning Hyperparameters 2.srt	17.0 KB
43. Tuning Hyperparameters 3.mp4	121.8 MB
43. Tuning Hyperparameters 3.srt	18.8 KB
44. Note Metric Comparison Improvement.html	2.2 KB
45. Quick Tip Correlation Analysis.mp4	16.9 MB
45. Quick Tip Correlation Analysis.srt	3.1 KB
46. Saving And Loading A Model.mp4	52.6 MB
46. Saving And Loading A Model.srt	9.8 KB
47. Saving And Loading A Model 2.mp4	56.8 MB
47. Saving And Loading A Model 2.srt	9.0 KB
48. Putting It All Together.mp4	150.6 MB
48. Putting It All Together.srt	29.6 KB
48.1 Reading extension Scikit-Learn's Pipeline class explained.html	146 bytes
49. Putting It All Together 2.mp4	116.9 MB
49. Putting It All Together 2.srt	16.1 KB
49.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html	197 bytes
49.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html	191 bytes
50. Scikit-Learn Practice.html	2.1 KB
car-sales-extended-missing-data.csv	30.2 KB
car-sales-extended.csv	25.7 KB
car-sales-missing-data.csv	287 bytes
heart-disease.csv	11.1 KB
1. Milestone Projects!.html	738 bytes
1. Section Overview.mp4	10.2 MB
1. Section Overview.srt	3.1 KB
2. Project Overview.mp4	34.4 MB
2. Project Overview.srt	10.0 KB
2.1 End-to-end Heart Disease Classification Notebook (with annotations).html	201 bytes
2.2 Structured Data Projects on GitHub.html	155 bytes
2.3 End-to-end Heart Disease Classification Notebook (same as in videos).html	207 bytes
3. Project Environment Setup.mp4	100.8 MB
3. Project Environment Setup.srt	14.4 KB
4. Optional Windows Project Environment Setup.mp4	35.8 MB
4. Optional Windows Project Environment Setup.srt	5.6 KB
5. Step 1~4 Framework Setup.mp4	105.5 MB
5. Step 1~4 Framework Setup.srt	16.6 KB
6. Getting Our Tools Ready.mp4	79.4 MB
6. Getting Our Tools Ready.srt	12.8 KB
7. Exploring Our Data.mp4	66.9 MB
7. Exploring Our Data.srt	11.4 KB
7.1 heart-disease.csv	11.1 KB
8. Finding Patterns.mp4	63.3 MB
8. Finding Patterns.srt	13.4 KB
9. Finding Patterns 2.mp4	99.9 MB
9. Finding Patterns 2.srt	22.3 KB
10. Finding Patterns 3.mp4	137.9 MB
10. Finding Patterns 3.srt	18.9 KB
11. Preparing Our Data For Machine Learning.mp4	72.6 MB
11. Preparing Our Data For Machine Learning.srt	12.0 KB
12. Choosing The Right Models.mp4	96.4 MB
12. Choosing The Right Models.srt	13.0 KB
13. Experimenting With Machine Learning Models.mp4	55.3 MB
13. Experimenting With Machine Learning Models.srt	9.6 KB
14. TuningImproving Our Model.mp4	102.8 MB
14. TuningImproving Our Model.srt	17.6 KB
15. Tuning Hyperparameters.mp4	108.0 MB
15. Tuning Hyperparameters.srt	15.7 KB
16. Tuning Hyperparameters 2.mp4	104.1 MB
16. Tuning Hyperparameters 2.srt	15.1 KB
17. Tuning Hyperparameters 3.mp4	63.0 MB
17. Tuning Hyperparameters 3.srt	9.9 KB
18. Quick Note Confusion Matrix Labels.html	1.1 KB
19. Evaluating Our Model.mp4	71.6 MB
19. Evaluating Our Model.srt	15.1 KB
20. Evaluating Our Model 2.mp4	41.5 MB
20. Evaluating Our Model 2.srt	7.4 KB
21. Evaluating Our Model 3.mp4	64.8 MB
21. Evaluating Our Model 3.srt	11.5 KB
22. Finding The Most Important Features.mp4	127.5 MB
22. Finding The Most Important Features.srt	22.3 KB
23. Reviewing The Project.mp4	86.1 MB
23. Reviewing The Project.srt	13.8 KB
23.1 End-to-end Heart Disease Classification Notebook (with annotations).html	201 bytes
23.2 End-to-end Heart Disease Classification Notebook (same as in videos).html	207 bytes
1. Section Overview.mp4	9.0 MB
1. Section Overview.srt	1.8 KB
2. Project Overview.mp4	32.9 MB
2. Project Overview.srt	6.7 KB
2.1 Structured Data Projects on GitHub.html	155 bytes
2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html	214 bytes
2.3 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html	208 bytes
2.4 Kaggle Bluebook for Bulldozers Competition.html	118 bytes
3. Project Environment Setup.mp4	101.3 MB
3. Project Environment Setup.srt	15.9 KB
4. Step 1~4 Framework Setup.mp4	85.7 MB
4. Step 1~4 Framework Setup.srt	12.4 KB
5. Downloading the data for the next two projects.html	1.6 KB
6. Exploring Our Data.mp4	137.8 MB
6. Exploring Our Data.srt	20.0 KB
7. Exploring Our Data 2.mp4	52.0 MB
7. Exploring Our Data 2.srt	8.6 KB
8. Feature Engineering.mp4	159.1 MB
8. Feature Engineering.srt	22.1 KB
9. Turning Data Into Numbers.mp4	146.2 MB
9. Turning Data Into Numbers.srt	22.3 KB
10. Filling Missing Numerical Values.mp4	106.3 MB
10. Filling Missing Numerical Values.srt	16.9 KB
10.1 Pandas Categorical Datatype Documentation.html	143 bytes
11. Filling Missing Categorical Values.mp4	66.9 MB
11. Filling Missing Categorical Values.srt	11.2 KB
12. Fitting A Machine Learning Model.mp4	55.5 MB
12. Fitting A Machine Learning Model.srt	10.5 KB
13. Splitting Data.mp4	82.7 MB
13. Splitting Data.srt	13.5 KB
14. Challenge What's wrong with splitting data after filling it.html	1.7 KB
15. Custom Evaluation Function.mp4	103.4 MB
15. Custom Evaluation Function.srt	16.1 KB
16. Reducing Data.mp4	93.5 MB
16. Reducing Data.srt	14.6 KB
17. RandomizedSearchCV.mp4	85.8 MB
17. RandomizedSearchCV.srt	12.7 KB
18. Improving Hyperparameters.mp4	79.3 MB
18. Improving Hyperparameters.srt	11.0 KB
19. Preproccessing Our Data.mp4	139.3 MB
19. Preproccessing Our Data.srt	17.8 KB
20. Making Predictions.mp4	79.2 MB
20. Making Predictions.srt	11.4 KB
21. Feature Importance.mp4	142.3 MB
21. Feature Importance.srt	17.3 KB
21.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html	208 bytes
21.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html	214 bytes
1. Data Engineering Introduction.mp4	13.5 MB
1. Data Engineering Introduction.srt	4.3 KB
2. What Is Data.mp4	42.2 MB
2. What Is Data.srt	7.6 KB
2.1 Kaggle.html	92 bytes
3. What Is A Data Engineer.mp4	15.2 MB
3. What Is A Data Engineer.srt	4.9 KB
4. What Is A Data Engineer 2.mp4	24.2 MB
4. What Is A Data Engineer 2.srt	6.3 KB
5. What Is A Data Engineer 3.mp4	24.3 MB
5. What Is A Data Engineer 3.srt	5.4 KB
6. What Is A Data Engineer 4.mp4	14.9 MB
6. What Is A Data Engineer 4.srt	3.9 KB
7. Types Of Databases.mp4	32.6 MB
7. Types Of Databases.srt	8.4 KB
7.1 OLTP vs OLAP.html	126 bytes
7.2 A Primer on ACID Transactions.html	117 bytes
8. Quick Note Upcoming Video.html	481 bytes
9. Optional OLTP Databases.mp4	79.7 MB
9. Optional OLTP Databases.srt	12.1 KB
10. Optional Learn SQL.html	410 bytes
11. Hadoop, HDFS and MapReduce.mp4	10.1 MB
11. Hadoop, HDFS and MapReduce.srt	4.7 KB
12. Apache Spark and Apache Flink.mp4	5.8 MB
12. Apache Spark and Apache Flink.srt	2.3 KB
13. Kafka and Stream Processing.mp4	19.2 MB
13. Kafka and Stream Processing.srt	5.0 KB
1. Section Overview.mp4	12.2 MB
1. Section Overview.srt	2.8 KB
2. Deep Learning and Unstructured Data.mp4	102.0 MB
2. Deep Learning and Unstructured Data.srt	20.2 KB
3. Setting Up With Google.html	568 bytes
4. Setting Up Google Colab.mp4	74.2 MB
4. Setting Up Google Colab.srt	9.6 KB
4.1 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html	119 bytes
4.2 Google Colab (our workspace for the upcoming project).html	95 bytes
4.3 Google Colab IO example (how to get data in and out of your Colab notebook).html	113 bytes
4.4 Introduction to Google Colab example notebook.html	116 bytes
4.5 End-to-end Dog Vision Notebook (the project we'll be working through).html	182 bytes
5. Google Colab Workspace.mp4	39.6 MB
5. Google Colab Workspace.srt	6.3 KB
5.1 Google Colab FAQ (things you should know about Google Colab).html	110 bytes
5.2 Google Colab (our workspace for the upcoming project).html	95 bytes
6. Uploading Project Data.mp4	52.0 MB
6. Uploading Project Data.srt	8.6 KB
6.1 Kaggle Dog Breed Identification Competition Data.html	115 bytes
6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html	113 bytes
7. Setting Up Our Data.mp4	42.3 MB
7. Setting Up Our Data.srt	6.4 KB
8. Setting Up Our Data 2.mp4	20.9 MB
8. Setting Up Our Data 2.srt	2.2 KB
9. Importing TensorFlow 2.mp4	116.8 MB
9. Importing TensorFlow 2.srt	16.8 KB
10. Optional TensorFlow 2.0 Default Issue.mp4	28.1 MB
10. Optional TensorFlow 2.0 Default Issue.srt	4.5 KB
10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html	129 bytes
11. Using A GPU.mp4	80.6 MB
11. Using A GPU.srt	12.1 KB
11.1 Google Colab example GPU usage.html	114 bytes
12. Optional GPU and Google Colab.mp4	45.9 MB
12. Optional GPU and Google Colab.srt	6.0 KB
12.1 Introduction to Google Colab example notebook.html	116 bytes
12.2 Google Colab Example of GPU speed up versus CPU.html	114 bytes
13. Optional Reloading Colab Notebook.mp4	88.7 MB
13. Optional Reloading Colab Notebook.srt	7.8 KB
14. Loading Our Data Labels.mp4	114.8 MB
14. Loading Our Data Labels.srt	16.1 KB
14.1 Documentation on how many images Google recommends for image problems.html	129 bytes
15. Preparing The Images.mp4	133.9 MB
15. Preparing The Images.srt	15.1 KB
16. Turning Data Labels Into Numbers.mp4	107.5 MB
16. Turning Data Labels Into Numbers.srt	13.8 KB
17. Creating Our Own Validation Set.mp4	66.4 MB
17. Creating Our Own Validation Set.srt	11.3 KB
17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html	108 bytes
18. Preprocess Images.mp4	90.1 MB
18. Preprocess Images.srt	12.9 KB
18.1 Documentation for loading images in TensorFlow.html	114 bytes
18.2 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html	98 bytes
19. Preprocess Images 2.mp4	105.1 MB
19. Preprocess Images 2.srt	12.9 KB
20. Turning Data Into Batches.mp4	87.8 MB
20. Turning Data Into Batches.srt	11.6 KB
21. Turning Data Into Batches 2.mp4	149.4 MB
21. Turning Data Into Batches 2.srt	20.2 KB
21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html	118 bytes
22. Visualizing Our Data.mp4	122.0 MB
22. Visualizing Our Data.srt	15.7 KB
23. Preparing Our Inputs and Outputs.mp4	50.1 MB
23. Preparing Our Inputs and Outputs.srt	7.8 KB
23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html	79 bytes
24. Optional How machines learn and what's going on behind the scenes.html	2.7 KB
25. Building A Deep Learning Model.mp4	121.9 MB
25. Building A Deep Learning Model.srt	15.9 KB
25.1 Andrei Karpathy's talk on AI at Tesla.html	95 bytes
25.2 Papers with Code (a great resource for some of the best machine learning papers with code examples).html	88 bytes
25.3 MobileNetV2 (the model we're using) on TensorFlow Hub.html	132 bytes
25.4 PyTorch Hub (PyTorch version of TensorFlow Hub).html	85 bytes
25.5 TensorFlow Hub (resource for pre-trained deep learning models and more).html	79 bytes
26. Building A Deep Learning Model 2.mp4	105.9 MB
26. Building A Deep Learning Model 2.srt	12.5 KB
26.1 Keras in TensorFlow Overview Documentation.html	108 bytes
27. Building A Deep Learning Model 3.mp4	105.9 MB
27. Building A Deep Learning Model 3.srt	11.2 KB
27.1 The Softmax Function (activation function we use in our model).html	107 bytes
27.2 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html	172 bytes
27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html	163 bytes
28. Building A Deep Learning Model 4.mp4	86.3 MB
28. Building A Deep Learning Model 4.srt	12.0 KB
28.1 [Article] How to choose loss & activation functions when building a deep learning model.html	169 bytes
29. Summarizing Our Model.mp4	45.4 MB
29. Summarizing Our Model.srt	6.0 KB
30. Evaluating Our Model.mp4	79.3 MB
30. Evaluating Our Model.srt	10.4 KB
30.1 TensorBoard Callback Documentation.html	134 bytes
31. Preventing Overfitting.mp4	36.5 MB
31. Preventing Overfitting.srt	5.5 KB
31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html	136 bytes
32. Training Your Deep Neural Network.mp4	166.6 MB
32. Training Your Deep Neural Network.srt	23.1 KB
33. Evaluating Performance With TensorBoard.mp4	74.2 MB
33. Evaluating Performance With TensorBoard.srt	9.6 KB
34. Make And Transform Predictions.mp4	155.0 MB
34. Make And Transform Predictions.srt	19.2 KB
35. Transform Predictions To Text.mp4	129.9 MB
35. Transform Predictions To Text.srt	17.6 KB
35.1 TensorFlow documentation for the unbatch() function.html	127 bytes
36. Visualizing Model Predictions.mp4	119.3 MB
36. Visualizing Model Predictions.srt	17.0 KB
37. Visualizing And Evaluate Model Predictions 2.mp4	143.8 MB
37. Visualizing And Evaluate Model Predictions 2.srt	17.6 KB
38. Visualizing And Evaluate Model Predictions 3.mp4	113.2 MB
38. Visualizing And Evaluate Model Predictions 3.srt	13.8 KB
39. Saving And Loading A Trained Model.mp4	127.0 MB
39. Saving And Loading A Trained Model.srt	16.9 KB
40. Training Model On Full Dataset.mp4	139.8 MB
40. Training Model On Full Dataset.srt	19.2 KB
41. Making Predictions On Test Images.mp4	140.8 MB
41. Making Predictions On Test Images.srt	20.3 KB
41.1 Dog Vision Prediction Probabilities Array.html	170 bytes
42. Submitting Model to Kaggle.mp4	121.3 MB
42. Submitting Model to Kaggle.srt	16.6 KB
42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html	180 bytes
43. Making Predictions On Our Images.mp4	119.2 MB
43. Making Predictions On Our Images.srt	18.6 KB
43.1 End-to-end Dog Vision Notebook (with annotations).html	185 bytes
43.2 End-to-end Dog Vision Notebook (from the videos).html	191 bytes
44. Finishing Dog Vision Where to next.html	3.9 KB
1. Section Overview.mp4	10.9 MB
1. Section Overview.srt	4.9 MB
2. Communicating Your Work.mp4	20.2 MB
2. Communicating Your Work.srt	4.8 KB
2.1 How to Think About Communicating and Sharing Your Work (blog post).html	142 bytes
3. Communicating With Managers.mp4	18.4 MB
3. Communicating With Managers.srt	4.5 KB
4. Communicating With Co-Workers.mp4	19.0 MB
4. Communicating With Co-Workers.srt	5.5 KB
5. Weekend Project Principle.mp4	23.6 MB
5. Weekend Project Principle.srt	9.0 KB
6. Communicating With Outside World.mp4	14.5 MB
6. Communicating With Outside World.srt	4.5 KB
6.1 fast_template by fast.ai (a template you can use for your blog on GitHub Pages).html	106 bytes
6.2 Devblog by Hashnode (an easy and free way to create a blog you own).html	89 bytes
7. Storytelling.mp4	12.0 MB
7. Storytelling.srt	4.1 KB
8. Communicating and sharing your work Further reading.html	3.1 KB
1. Endorsements On LinkedIn.html	2.1 KB
2. Quick Note Upcoming Video.html	587 bytes
3. What If I Don't Have Enough Experience.mp4	161.0 MB
3. What If I Don't Have Enough Experience.srt	20.0 KB
4. Learning Guideline.html	325 bytes
5. Quick Note Upcoming Videos.html	565 bytes
6. JTS Learn to Learn.mp4	11.1 MB
6. JTS Learn to Learn.srt	2.5 KB
7. JTS Start With Why.mp4	15.4 MB
7. JTS Start With Why.srt	3.0 KB
8. Quick Note Upcoming Videos.html	352 bytes
9. CWD Git + Github.mp4	176.1 MB
9. CWD Git + Github.srt	21.2 KB
10. CWD Git + Github 2.mp4	118.4 MB
10. CWD Git + Github 2.srt	18.2 KB
11. Contributing To Open Source.mp4	130.3 MB
11. Contributing To Open Source.srt	17.1 KB
12. Contributing To Open Source 2.mp4	113.1 MB
12. Contributing To Open Source 2.srt	10.2 KB
13. Coding Challenges.html	948 bytes
14. Exercise Contribute To Open Source.html	1.5 KB
1. What Is A Programming Language.mp4	104.8 MB
1. What Is A Programming Language.srt	7.0 KB
2. Python Interpreter.mp4	78.0 MB
2. Python Interpreter.srt	8.5 KB
2.1 python.org.html	84 bytes
3. How To Run Python Code.mp4	52.9 MB
3. How To Run Python Code.srt	6.6 KB
3.1 Glot.io.html	77 bytes
3.2 Repl.it.html	77 bytes
4. Our First Python Program.mp4	47.2 MB
4. Our First Python Program.srt	9.0 KB
5. Latest Version Of Python.mp4	10.7 MB
5. Latest Version Of Python.srt	2.7 KB
6. Python 2 vs Python 3.mp4	69.5 MB
6. Python 2 vs Python 3.srt	8.4 KB
6.1 Python 2 vs Python 3.html	128 bytes
6.2 The Story of Python.html	104 bytes
6.3 Python 2 vs Python 3 - another one.html	161 bytes
7. Exercise How Does Python Work.mp4	26.0 MB
7. Exercise How Does Python Work.srt	2.9 KB
8. Learning Python.mp4	38.5 MB
8. Learning Python.srt	2.6 KB
9. Python Data Types.mp4	28.8 MB
9. Python Data Types.srt	5.2 KB
10. How To Succeed.html	280 bytes
11. Numbers.mp4	72.7 MB
11. Numbers.srt	11.1 KB
11.1 Floating point numbers.html	104 bytes
12. Math Functions.mp4	41.8 MB
12. Math Functions.srt	5.4 KB
13. DEVELOPER FUNDAMENTALS I.mp4	59.7 MB
13. DEVELOPER FUNDAMENTALS I.srt	5.2 KB
14. Operator Precedence.mp4	14.4 MB
14. Operator Precedence.srt	3.5 KB
14.1 Exercise Repl.html	106 bytes
15. Exercise Operator Precedence.html	683 bytes
15.1 Exercise Repl.html	106 bytes
16. Optional bin() and complex.mp4	21.9 MB
16. Optional bin() and complex.srt	4.8 KB
16.1 Base Numbers.html	111 bytes
17. Variables.mp4	93.6 MB
17. Variables.srt	16.0 KB
17.1 Python Keywords.html	117 bytes
18. Expressions vs Statements.mp4	11.0 MB
18. Expressions vs Statements.srt	1.7 KB
19. Augmented Assignment Operator.mp4	15.3 MB
19. Augmented Assignment Operator.srt	3.0 KB
19.1 Exercise Repl.html	116 bytes
20. Strings.mp4	31.0 MB
20. Strings.srt	6.3 KB
21. String Concatenation.mp4	7.3 MB
21. String Concatenation.srt	1.4 KB
22. Type Conversion.mp4	19.0 MB
22. Type Conversion.srt	3.1 KB
23. Escape Sequences.mp4	23.2 MB
23. Escape Sequences.srt	5.0 KB
24. Formatted Strings.mp4	49.3 MB
24. Formatted Strings.srt	8.8 KB
24.1 Exercise Repl.html	104 bytes
25. String Indexes.mp4	49.2 MB
25. String Indexes.srt	9.2 KB
25.1 Exercise Repl.html	101 bytes
26. Immutability.mp4	20.8 MB
26. Immutability.srt	3.5 KB
27. Built-In Functions + Methods.mp4	69.4 MB
27. Built-In Functions + Methods.srt	10.3 KB
27.1 String Methods.html	115 bytes
27.2 Built in Functions.html	109 bytes
28. Booleans.mp4	16.5 MB
28. Booleans.srt	3.9 KB
29. Exercise Type Conversion.mp4	50.3 MB
29. Exercise Type Conversion.srt	8.6 KB
30. DEVELOPER FUNDAMENTALS II.mp4	29.2 MB
30. DEVELOPER FUNDAMENTALS II.srt	5.3 KB
30.1 Python Comments Best Practices.html	106 bytes
31. Exercise Password Checker.mp4	51.1 MB
31. Exercise Password Checker.srt	7.9 KB
32. Lists.mp4	22.0 MB
32. Lists.srt	5.6 KB
33. List Slicing.mp4	49.9 MB
33. List Slicing.srt	8.5 KB
33.1 Exercise Repl.html	92 bytes
34. Matrix.mp4	19.1 MB
34. Matrix.srt	4.1 KB
34.1 Exercise Repl.html	93 bytes
35. List Methods.mp4	61.8 MB
35. List Methods.srt	10.8 KB
35.1 List Methods.html	113 bytes
36. List Methods 2.mp4	27.4 MB
36. List Methods 2.srt	4.5 KB
36.1 Python Keywords.html	117 bytes
36.2 Exercise Repl.html	94 bytes
37. List Methods 3.mp4	27.7 MB
37. List Methods 3.srt	5.0 KB
38. Common List Patterns.mp4	40.5 MB
38. Common List Patterns.srt	5.8 KB
38.1 Exercise Repl.html	94 bytes
39. List Unpacking.mp4	13.9 MB
39. List Unpacking.srt	2.9 KB
40. None.mp4	7.9 MB
40. None.srt	2.2 KB
41. Dictionaries.mp4	32.7 MB
41. Dictionaries.srt	7.1 KB
42. DEVELOPER FUNDAMENTALS III.mp4	26.6 MB
42. DEVELOPER FUNDAMENTALS III.srt	3.6 KB
43. Dictionary Keys.mp4	20.4 MB
43. Dictionary Keys.srt	4.2 KB
44. Dictionary Methods.mp4	27.2 MB
44. Dictionary Methods.srt	5.3 KB
44.1 Dictionary Methods.html	119 bytes
45. Dictionary Methods 2.mp4	42.4 MB
45. Dictionary Methods 2.srt	7.1 KB
45.1 Exercise Repl.html	97 bytes
46. Tuples.mp4	25.6 MB
46. Tuples.srt	5.7 KB
47. Tuples 2.mp4	17.0 MB
47. Tuples 2.srt	3.1 KB
47.1 Tuple Methods.html	114 bytes
48. Sets.mp4	37.0 MB
48. Sets.srt	8.4 KB
49. Sets 2.mp4	64.3 MB
49. Sets 2.srt	9.2 KB
49.1 Exercise Repl.html	91 bytes
49.2 Sets Methods.html	112 bytes
1. Breaking The Flow.mp4	20.3 MB
1. Breaking The Flow.srt	3.0 KB
2. Conditional Logic.mp4	74.6 MB
2. Conditional Logic.srt	15.7 KB
3. Indentation In Python.mp4	28.0 MB
3. Indentation In Python.srt	5.3 KB
4. Truthy vs Falsey.mp4	42.8 MB
4. Truthy vs Falsey.srt	6.0 KB
4.1 Truthy vs Falsey Stackoverflow.html	170 bytes
5. Ternary Operator.mp4	19.7 MB
5. Ternary Operator.srt	4.8 KB
6. Short Circuiting.mp4	19.4 MB
6. Short Circuiting.srt	4.5 KB
7. Logical Operators.mp4	28.3 MB
7. Logical Operators.srt	8.1 KB
8. Exercise Logical Operators.mp4	46.6 MB
8. Exercise Logical Operators.srt	8.4 KB
9. is vs ==.mp4	33.6 MB
9. is vs ==.srt	8.1 KB
10. For Loops.mp4	34.3 MB
10. For Loops.srt	7.5 KB
11. Iterables.mp4	43.2 MB
11. Iterables.srt	6.9 KB
12. Exercise Tricky Counter.mp4	16.4 MB
12. Exercise Tricky Counter.srt	3.6 KB
12.1 Solution Repl.html	92 bytes
13. range().mp4	28.3 MB
13. range().srt	5.9 KB
14. enumerate().mp4	24.8 MB
14. enumerate().srt	4.6 KB
15. While Loops.mp4	28.3 MB
15. While Loops.srt	7.4 KB
16. While Loops 2.mp4	25.9 MB
16. While Loops 2.srt	6.4 KB
17. break, continue, pass.mp4	22.2 MB
17. break, continue, pass.srt	5.3 KB
18. Our First GUI.mp4	49.6 MB
18. Our First GUI.srt	10.4 KB
18.1 Exercise Repl.html	99 bytes
18.2 Solution Repl.html	99 bytes
19. DEVELOPER FUNDAMENTALS IV.mp4	50.2 MB
19. DEVELOPER FUNDAMENTALS IV.srt	7.8 KB
20. Exercise Find Duplicates.mp4	20.3 MB
20. Exercise Find Duplicates.srt	4.4 KB
20.1 Solution Repl.html	102 bytes
21. Functions.mp4	48.6 MB
21. Functions.srt	9.2 KB
22. Parameters and Arguments.mp4	23.1 MB
22. Parameters and Arguments.srt	4.9 KB
23. Default Parameters and Keyword Arguments.mp4	38.2 MB
23. Default Parameters and Keyword Arguments.srt	6.0 KB
24. return.mp4	63.0 MB
24. return.srt	15.0 KB
25. Exercise Tesla.html	402 bytes
26. Methods vs Functions.mp4	30.7 MB
26. Methods vs Functions.srt	5.2 KB
27. Docstrings.mp4	17.3 MB
27. Docstrings.srt	4.3 KB
28. Clean Code.mp4	19.7 MB
28. Clean Code.srt	5.4 KB
29. args and kwargs.mp4	43.0 MB
29. args and kwargs.srt	8.1 KB
30. Exercise Functions.mp4	21.8 MB
30. Exercise Functions.srt	4.7 KB
30.1 Solution Repl.html	108 bytes
31. Scope.mp4	20.1 MB
31. Scope.srt	3.8 KB
32. Scope Rules.mp4	37.7 MB
32. Scope Rules.srt	8.5 KB
33. global Keyword.mp4	36.5 MB
33. global Keyword.srt	6.7 KB
34. nonlocal Keyword.mp4	18.3 MB
34. nonlocal Keyword.srt	4.1 KB
34.1 Solution Repl.html	95 bytes
35. Why Do We Need Scope.mp4	19.2 MB
35. Why Do We Need Scope.srt	4.8 KB
36. Pure Functions.mp4	67.4 MB
36. Pure Functions.srt	10.1 KB
37. map().mp4	38.4 MB
37. map().srt	6.3 KB
38. filter().mp4	23.6 MB
38. filter().srt	5.0 KB
39. zip().mp4	21.3 MB
39. zip().srt	3.3 KB
40. reduce().mp4	52.3 MB
40. reduce().srt	8.4 KB
41. List Comprehensions.mp4	53.3 MB
41. List Comprehensions.srt	9.4 KB
42. Set Comprehensions.mp4	35.4 MB
42. Set Comprehensions.srt	6.6 KB
43. Exercise Comprehensions.mp4	22.0 MB
43. Exercise Comprehensions.srt	4.9 KB
43.1 Exercise Repl.html	100 bytes
43.2 Solution Repl.html	102 bytes
44. Python Exam Testing Your Understanding.html	1.1 KB
45. Modules in Python.mp4	82.2 MB
45. Modules in Python.srt	12.7 KB
46. Quick Note Upcoming Videos.html	448 bytes
47. Optional PyCharm.mp4	53.1 MB
47. Optional PyCharm.srt	10.5 KB
48. Packages in Python.mp4	72.4 MB
48. Packages in Python.srt	12.5 KB
49. Different Ways To Import.mp4	48.0 MB
49. Different Ways To Import.srt	7.5 KB
50. Next Steps.html	959 bytes
51. Bonus Resource Python Cheatsheet.html	489 bytes
1. Statistics and Mathematics.html	710 bytes
1. Become An Alumni.html	944 bytes
2. Thank You.mp4	11.1 MB
2. Thank You.srt	3.6 KB
3. Course Review.html	169 bytes
4. The Final Challenge.html	169 bytes
1. Bonus Lecture.html	3.3 KB

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