| 1. Introduction | |||
| 1. Course Outline.mp4 | 40.73 MB | ||
| 1. Course Outline.srt | 9.17 KB | ||
| 2. Join Our Online Classroom!.html | 2.17 KB | ||
| 3. Exercise Meet The Community.html | 2.51 KB | ||
| 4. Your First Day.mp4 | 8.24 MB | ||
| 4. Your First Day.srt | 5.27 KB | ||
| 10. Supervised Learning Classification + Regression | |||
| 1. Milestone Projects!.html | 738 B | ||
| 11. Milestone Project 1 Supervised Learning (Binary Classification) | |||
| 1. Section Overview.mp4 | 10.19 MB | ||
| 1. Section Overview.srt | 3.11 KB | ||
| 10. Preparing Our Data For Machine Learning.mp4 | 72.6 MB | ||
| 10. Preparing Our Data For Machine Learning.srt | 12.02 KB | ||
| 11. Choosing The Right Models.mp4 | 96.42 MB | ||
| 11. Choosing The Right Models.srt | 12.97 KB | ||
| 12. Experimenting With Machine Learning Models.mp4 | 55.35 MB | ||
| 12. Experimenting With Machine Learning Models.srt | 9.63 KB | ||
| 13. TuningImproving Our Model.mp4 | 102.78 MB | ||
| 13. TuningImproving Our Model.srt | 17.64 KB | ||
| 14. Tuning Hyperparameters.mp4 | 108 MB | ||
| 14. Tuning Hyperparameters.srt | 15.67 KB | ||
| 15. Tuning Hyperparameters 2.mp4 | 104.12 MB | ||
| 15. Tuning Hyperparameters 2.srt | 15.1 KB | ||
| 16. Tuning Hyperparameters 3.mp4 | 63.01 MB | ||
| 16. Tuning Hyperparameters 3.srt | 9.92 KB | ||
| 17. Evaluating Our Model.mp4 | 71.6 MB | ||
| 17. Evaluating Our Model.srt | 15.11 KB | ||
| 18. Evaluating Our Model 2.mp4 | 41.53 MB | ||
| 18. Evaluating Our Model 2.srt | 7.41 KB | ||
| 19. Evaluating Our Model 3.mp4 | 64.84 MB | ||
| 19. Evaluating Our Model 3.srt | 11.55 KB | ||
| 2. Project Overview.mp4 | 34.44 MB | ||
| 2. Project Overview.srt | 10.02 KB | ||
| 2.1 End-to-end Heart Disease Classification Notebook (same as in videos).html | 207 B | ||
| 2.2 Structured Data Projects on GitHub.html | 155 B | ||
| 2.3 End-to-end Heart Disease Classification Notebook (with annotations).html | 201 B | ||
| 20. Finding The Most Important Features.mp4 | 127.49 MB | ||
| 20. Finding The Most Important Features.srt | 22.33 KB | ||
| 21. Reviewing The Project.mp4 | 86.14 MB | ||
| 21. Reviewing The Project.srt | 13.81 KB | ||
| 21.1 End-to-end Heart Disease Classification Notebook (with annotations).html | 201 B | ||
| 21.2 End-to-end Heart Disease Classification Notebook (same as in videos).html | 207 B | ||
| 3. Project Environment Setup.mp4 | 100.76 MB | ||
| 3. Project Environment Setup.mp4.jpg?042148 | 214.51 KB | ||
| 3. Project Environment Setup.srt | 14.39 KB | ||
| 3. Project Environment Setup.txt | 239 B | ||
| 4. Step 1~4 Framework Setup.mp4 | 105.5 MB | ||
| 4. Step 1~4 Framework Setup.srt | 16.6 KB | ||
| 5. Getting Our Tools Ready.mp4 | 79.36 MB | ||
| 5. Getting Our Tools Ready.srt | 12.78 KB | ||
| 6. Exploring Our Data.mp4 | 66.88 MB | ||
| 6. Exploring Our Data.srt | 11.4 KB | ||
| 6.1 heart-disease.csv.csv | 11.06 KB | ||
| 7. Finding Patterns.mp4 | 63.34 MB | ||
| 7. Finding Patterns.srt | 13.39 KB | ||
| 8. Finding Patterns 2.mp4 | 99.92 MB | ||
| 8. Finding Patterns 2.srt | 22.32 KB | ||
| 9. Finding Patterns 3.mp4 | 137.86 MB | ||
| 9. Finding Patterns 3.srt | 18.88 KB | ||
| 12. Milestone Project 2 Supervised Learning (Time Series Data) | |||
| 1. Section Overview.mp4 | 8.95 MB | ||
| 1. Section Overview.srt | 1.84 KB | ||
| 10. Filling Missing Categorical Values.mp4 | 66.91 MB | ||
| 10. Filling Missing Categorical Values.srt | 11.2 KB | ||
| 11. Fitting A Machine Learning Model.mp4 | 55.52 MB | ||
| 11. Fitting A Machine Learning Model.srt | 10.47 KB | ||
| 12. Splitting Data.mp4 | 82.68 MB | ||
| 12. Splitting Data.srt | 13.51 KB | ||
| 13. Custom Evaluation Function.mp4 | 103.34 MB | ||
| 13. Custom Evaluation Function.srt | 16.11 KB | ||
| 14. Reducing Data.mp4 | 93.47 MB | ||
| 14. Reducing Data.srt | 14.62 KB | ||
| 15. RandomizedSearchCV.mp4 | 85.83 MB | ||
| 15. RandomizedSearchCV.srt | 12.65 KB | ||
| 16. Improving Hyperparameters.mp4 | 79.29 MB | ||
| 16. Improving Hyperparameters.srt | 11.03 KB | ||
| 17. Preproccessing Our Data.mp4 | 139.3 MB | ||
| 17. Preproccessing Our Data.srt | 17.8 KB | ||
| 18. Making Predictions.mp4 | 79.21 MB | ||
| 18. Making Predictions.srt | 11.37 KB | ||
| 19. Feature Importance.mp4 | 142.3 MB | ||
| 19. Feature Importance.srt | 17.26 KB | ||
| 19.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html | 208 B | ||
| 19.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html | 214 B | ||
| 2. Project Overview.mp4 | 32.94 MB | ||
| 2. Project Overview.srt | 6.66 KB | ||
| 2.1 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html | 214 B | ||
| 2.2 Kaggle Bluebook for Bulldozers Competition.html | 118 B | ||
| 2.3 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html | 208 B | ||
| 2.4 Structured Data Projects on GitHub.html | 155 B | ||
| 3. Project Environment Setup.mp4 | 101.27 MB | ||
| 3. Project Environment Setup.srt | 15.91 KB | ||
| 4. Step 1~4 Framework Setup.mp4 | 85.69 MB | ||
| 4. Step 1~4 Framework Setup.srt | 12.44 KB | ||
| 5. Exploring Our Data.mp4 | 137.81 MB | ||
| 5. Exploring Our Data.srt | 19.97 KB | ||
| 6. Exploring Our Data 2.mp4 | 52.04 MB | ||
| 6. Exploring Our Data 2.srt | 8.6 KB | ||
| 7. Feature Engineering.mp4 | 159.14 MB | ||
| 7. Feature Engineering.srt | 22.13 KB | ||
| 8. Turning Data Into Numbers.mp4 | 146.17 MB | ||
| 8. Turning Data Into Numbers.srt | 22.32 KB | ||
| 9. Filling Missing Numerical Values.mp4 | 106.34 MB | ||
| 9. Filling Missing Numerical Values.srt | 16.94 KB | ||
| 9.1 Pandas Categorical Datatype Documentation.html | 143 B | ||
| 13. Data Engineering | |||
| 1. Data Engineering Introduction.mp4 | 13.5 MB | ||
| 1. Data Engineering Introduction.srt | 4.25 KB | ||
| 10. Optional Learn SQL.html | 410 B | ||
| 11. Hadoop, HDFS and MapReduce.mp4 | 10.11 MB | ||
| 11. Hadoop, HDFS and MapReduce.srt | 4.7 KB | ||
| 12. Apache Spark and Apache Flink.mp4 | 5.76 MB | ||
| 12. Apache Spark and Apache Flink.srt | 2.31 KB | ||
| 13. Kafka and Stream Processing.mp4 | 19.25 MB | ||
| 13. Kafka and Stream Processing.srt | 5.05 KB | ||
| 2. What Is Data.mp4 | 42.22 MB | ||
| 2. What Is Data.srt | 7.62 KB | ||
| 2.1 Kaggle.html | 92 B | ||
| 3. What Is A Data Engineer.mp4 | 15.16 MB | ||
| 3. What Is A Data Engineer.srt | 4.9 KB | ||
| 4. What Is A Data Engineer 2.mp4 | 24.24 MB | ||
| 4. What Is A Data Engineer 2.srt | 6.33 KB | ||
| 5. What Is A Data Engineer 3.mp4 | 24.29 MB | ||
| 5. What Is A Data Engineer 3.srt | 5.41 KB | ||
| 6. What Is A Data Engineer 4.mp4 | 14.93 MB | ||
| 6. What Is A Data Engineer 4.srt | 3.86 KB | ||
| 7. Types Of Databases.mp4 | 32.55 MB | ||
| 7. Types Of Databases.srt | 8.37 KB | ||
| 7.1 A Primer on ACID Transactions.html | 117 B | ||
| 7.2 OLTP vs OLAP.html | 126 B | ||
| 8. Quick Note Upcoming Video.html | 481 B | ||
| 9. Optional OLTP Databases.mp4 | 79.68 MB | ||
| 9. Optional OLTP Databases.srt | 12.11 KB | ||
| 14. UPLOADED BY FEB 7! - Neural Networks Deep Learning + Transfer Learning | |||
| 1. This section will be done by FEB 7th.html | 202 B | ||
| 15. UPLOADED BY FEB 7! - TensorFlow 2.0 | |||
| 1. This section will be done by FEB 7th.html | 202 B | ||
| 16. UPLOADED BY FEB 14th Storytelling + Communication How To Present Your Projects | |||
| 1. This section will be done by FEB 14th.html | 203 B | ||
| 17. Career Advice + Extra Bits | |||
| 1. Endorsements On LinkedIn.html | 688 B | ||
| 10. CWD Git + Github 2.mp4 | 118.35 MB | ||
| 10. CWD Git + Github 2.srt | 18.25 KB | ||
| 11. Contributing To Open Source.mp4 | 130.25 MB | ||
| 11. Contributing To Open Source.srt | 17.13 KB | ||
| 12. Contributing To Open Source 2.mp4 | 113.05 MB | ||
| 12. Contributing To Open Source 2.srt | 10.18 KB | ||
| 13. Coding Challenges.html | 948 B | ||
| 14. Exercise Contribute To Open Source.html | 1.43 KB | ||
| 2. Quick Note Upcoming Video.html | 587 B | ||
| 3. What If I Don_t Have Enough Experience.mp4 | 160.95 MB | ||
| 3. What If I Don_t Have Enough Experience.srt | 19.98 KB | ||
| 4. Learning Guideline.html | 310 B | ||
| 5. Quick Note Upcoming Videos.html | 565 B | ||
| 6. JTS Learn to Learn.mp4 | 11.14 MB | ||
| 6. JTS Learn to Learn.srt | 2.49 KB | ||
| 7. JTS Start With Why.mp4 | 15.43 MB | ||
| 7. JTS Start With Why.srt | 2.96 KB | ||
| 8. Quick Note Upcoming Videos.html | 352 B | ||
| 9. CWD Git + Github.mp4 | 176.11 MB | ||
| 9. CWD Git + Github.srt | 21.17 KB | ||
| 18. Learn Python | |||
| 1. What Is A Programming Language.mp4 | 104.77 MB | ||
| 1. What Is A Programming Language.srt | 7.04 KB | ||
| 10. Numbers.mp4 | 72.71 MB | ||
| 10. Numbers.srt | 11.13 KB | ||
| 10.1 Floating point numbers.html | 104 B | ||
| 11. Math Functions.mp4 | 41.82 MB | ||
| 11. Math Functions.srt | 5.43 KB | ||
| 12. DEVELOPER FUNDAMENTALS I.mp4 | 59.71 MB | ||
| 12. DEVELOPER FUNDAMENTALS I.srt | 5.22 KB | ||
| 13. Operator Precedence.mp4 | 14.43 MB | ||
| 13. Operator Precedence.srt | 3.5 KB | ||
| 13.1 Exercise Repl.html | 106 B | ||
| 14. Exercise Operator Precedence.html | 683 B | ||
| 14.1 Exercise Repl.html | 106 B | ||
| 15. Optional bin() and complex.mp4 | 21.9 MB | ||
| 15. Optional bin() and complex.srt | 4.8 KB | ||
| 15.1 Base Numbers.html | 111 B | ||
| 16. Variables.mp4 | 93.56 MB | ||
| 16. Variables.srt | 16.04 KB | ||
| 16.1 Python Keywords.html | 117 B | ||
| 17. Expressions vs Statements.mp4 | 10.97 MB | ||
| 17. Expressions vs Statements.srt | 1.72 KB | ||
| 18. Augmented Assignment Operator.mp4 | 15.32 MB | ||
| 18. Augmented Assignment Operator.srt | 2.95 KB | ||
| 18.1 Exercise Repl.html | 116 B | ||
| 19. Strings.mp4 | 30.98 MB | ||
| 19. Strings.srt | 6.29 KB | ||
| 2. Python Interpreter.mp4 | 93.47 MB | ||
| 2. Python Interpreter.srt | 8.3 KB | ||
| 20. String Concatenation.mp4 | 7.34 MB | ||
| 20. String Concatenation.srt | 1.42 KB | ||
| 21. Type Conversion.mp4 | 18.99 MB | ||
| 21. Type Conversion.srt | 3.09 KB | ||
| 22. Escape Sequences.mp4 | 23.15 MB | ||
| 22. Escape Sequences.srt | 5.01 KB | ||
| 23. Formatted Strings.mp4 | 49.26 MB | ||
| 23. Formatted Strings.srt | 8.84 KB | ||
| 23.1 Exercise Repl.html | 104 B | ||
| 24. String Indexes.mp4 | 49.15 MB | ||
| 24. String Indexes.srt | 9.21 KB | ||
| 24.1 Exercise Repl.html | 101 B | ||
| 25. Immutability.mp4 | 20.8 MB | ||
| 25. Immutability.srt | 3.5 KB | ||
| 26. Built-In Functions + Methods.mp4 | 69.39 MB | ||
| 26. Built-In Functions + Methods.srt | 10.27 KB | ||
| 26.1 Built in Functions.html | 109 B | ||
| 26.2 String Methods.html | 115 B | ||
| 27. Booleans.mp4 | 16.55 MB | ||
| 27. Booleans.srt | 3.94 KB | ||
| 28. Exercise Type Conversion.mp4 | 50.34 MB | ||
| 28. Exercise Type Conversion.srt | 8.58 KB | ||
| 29. DEVELOPER FUNDAMENTALS II.mp4 | 29.25 MB | ||
| 29. DEVELOPER FUNDAMENTALS II.srt | 5.3 KB | ||
| 29.1 Python Comments Best Practices.html | 106 B | ||
| 3. How To Run Python Code.mp4 | 63.9 MB | ||
| 3. How To Run Python Code.srt | 6.46 KB | ||
| 30. Exercise Password Checker.mp4 | 51.09 MB | ||
| 30. Exercise Password Checker.srt | 7.89 KB | ||
| 31. Lists.mp4 | 21.96 MB | ||
| 31. Lists.srt | 5.57 KB | ||
| 32. List Slicing.mp4 | 49.86 MB | ||
| 32. List Slicing.srt | 8.5 KB | ||
| 32.1 Exercise Repl.html | 92 B | ||
| 33. Matrix.mp4 | 19.15 MB | ||
| 33. Matrix.srt | 4.13 KB | ||
| 33.1 Exercise Repl.html | 93 B | ||
| 34. List Methods.mp4 | 61.75 MB | ||
| 34. List Methods.srt | 10.75 KB | ||
| 34.1 List Methods.html | 113 B | ||
| 35. List Methods 2.mp4 | 27.41 MB | ||
| 35. List Methods 2.srt | 4.48 KB | ||
| 35.1 Exercise Repl.html | 94 B | ||
| 35.2 Python Keywords.html | 117 B | ||
| 36. List Methods 3.mp4 | 27.66 MB | ||
| 36. List Methods 3.srt | 5.01 KB | ||
| 37. Common List Patterns.mp4 | 40.47 MB | ||
| 37. Common List Patterns.srt | 5.83 KB | ||
| 37.1 Exercise Repl.html | 94 B | ||
| 38. List Unpacking.mp4 | 13.87 MB | ||
| 38. List Unpacking.srt | 2.91 KB | ||
| 39. None.mp4 | 7.93 MB | ||
| 39. None.srt | 2.19 KB | ||
| 4. Our First Python Program.mp4 | 47.2 MB | ||
| 4. Our First Python Program.srt | 9.03 KB | ||
| 40. Dictionaries.mp4 | 32.7 MB | ||
| 40. Dictionaries.srt | 7.09 KB | ||
| 41. DEVELOPER FUNDAMENTALS III.mp4 | 26.63 MB | ||
| 41. DEVELOPER FUNDAMENTALS III.srt | 3.59 KB | ||
| 42. Dictionary Keys.mp4 | 20.37 MB | ||
| 42. Dictionary Keys.srt | 4.17 KB | ||
| 43. Dictionary Methods.mp4 | 27.17 MB | ||
| 43. Dictionary Methods.srt | 5.26 KB | ||
| 43.1 Dictionary Methods.html | 119 B | ||
| 44. Dictionary Methods 2.mp4 | 42.39 MB | ||
| 44. Dictionary Methods 2.srt | 7.14 KB | ||
| 44.1 Exercise Repl.html | 97 B | ||
| 45. Tuples.mp4 | 25.65 MB | ||
| 45. Tuples.srt | 5.69 KB | ||
| 46. Tuples 2.mp4 | 16.99 MB | ||
| 46. Tuples 2.srt | 3.08 KB | ||
| 46.1 Tuple Methods.html | 114 B | ||
| 47. Sets.mp4 | 36.98 MB | ||
| 47. Sets.srt | 8.43 KB | ||
| 48. Sets 2.mp4 | 64.26 MB | ||
| 48. Sets 2.srt | 9.24 KB | ||
| 48.1 Sets Methods.html | 112 B | ||
| 48.2 Exercise Repl.html | 91 B | ||
| 5. Python 2 vs Python 3.mp4 | 82.14 MB | ||
| 5. Python 2 vs Python 3.srt | 8.17 KB | ||
| 5.1 Python 2 vs Python 3.html | 161 B | ||
| 5.2 The Story of Python.html | 104 B | ||
| 6. Exercise How Does Python Work.mp4 | 25.96 MB | ||
| 6. Exercise How Does Python Work.srt | 2.85 KB | ||
| 7. Learning Python.mp4 | 38.52 MB | ||
| 7. Learning Python.srt | 2.59 KB | ||
| 8. Python Data Types.mp4 | 28.85 MB | ||
| 8. Python Data Types.srt | 5.22 KB | ||
| 9. How To Succeed.html | 280 B | ||
| 19. Learn Python Part 2 | |||
| 1. Breaking The Flow.srt | 2.98 KB | ||
| 10. For Loops.srt | 7.53 KB | ||
| 11. Iterables.srt | 6.85 KB | ||
| 12. Exercise Tricky Counter.srt | 3.58 KB | ||
| 12.1 Solution Repl.html | 92 B | ||
| 13. range().srt | 5.86 KB | ||
| 14. enumerate().srt | 4.56 KB | ||
| 15. While Loops.srt | 7.36 KB | ||
| 16. While Loops 2.srt | 6.42 KB | ||
| 17. break, continue, pass.srt | 5.25 KB | ||
| 18. Our First GUI.srt | 10.37 KB | ||
| 18.1 Solution Repl.html | 99 B | ||
| 18.2 Exercise Repl.html | 99 B | ||
| 19. DEVELOPER FUNDAMENTALS IV.srt | 7.82 KB | ||
| 2. Conditional Logic.srt | 15.66 KB | ||
| 20. Exercise Find Duplicates.srt | 4.39 KB | ||
| 20.1 Solution Repl.html | 102 B | ||
| 21. Functions.srt | 9.2 KB | ||
| 22. Parameters and Arguments.srt | 4.88 KB | ||
| 23. Default Parameters and Keyword Arguments.srt | 5.98 KB | ||
| 24. return.srt | 14.97 KB | ||
| 25. Exercise Tesla.html | 402 B | ||
| 26. Methods vs Functions.srt | 5.25 KB | ||
| 27. Docstrings.srt | 4.28 KB | ||
| 28. Clean Code.srt | 5.36 KB | ||
| 29. args and kwargs.srt | 8.09 KB | ||
| 3. Indentation In Python.srt | 5.27 KB | ||
| 30. Exercise Functions.mp4 | 21.85 MB | ||
| 30. Exercise Functions.srt | 4.69 KB | ||
| 30.1 Solution Repl.html | 108 B | ||
| 31. Scope.srt | 3.82 KB | ||
| 32. Scope Rules.srt | 8.48 KB | ||
| 33. global Keyword.srt | 6.67 KB | ||
| 34. nonlocal Keyword.srt | 4.07 KB | ||
| 34.1 Solution Repl.html | 95 B | ||
| 35. Why Do We Need Scope.srt | 4.77 KB | ||
| 36. Pure Functions.srt | 10.06 KB | ||
| 37. map().srt | 6.29 KB | ||
| 38. filter().srt | 5.05 KB | ||
| 39. zip().srt | 3.26 KB | ||
| 4. Truthy vs Falsey.srt | 5.99 KB | ||
| 4.1 Truthy vs Falsey Stackoverflow.html | 170 B | ||
| 40. reduce().srt | 8.39 KB | ||
| 41. List Comprehensions.srt | 9.38 KB | ||
| 42. Set Comprehensions.srt | 6.58 KB | ||
| 43. Exercise Comprehensions.mp4 | 21.96 MB | ||
| 43. Exercise Comprehensions.srt | 4.94 KB | ||
| 43.1 Solution Repl.html | 102 B | ||
| 43.2 Exercise Repl.html | 100 B | ||
| 44. Python Exam Testing Your Understanding.html | 1.12 KB | ||
| 45. Modules in Python.srt | 12.67 KB | ||
| 46. Quick Note Upcoming Videos.html | 448 B | ||
| 47. Optional PyCharm.srt | 10.51 KB | ||
| 48. Packages in Python.srt | 12.45 KB | ||
| 49. Different Ways To Import.srt | 7.49 KB | ||
| 5. Ternary Operator.srt | 4.81 KB | ||
| 50. Next Steps.html | 959 B | ||
| 6. Short Circuiting.srt | 4.47 KB | ||
| 7. Logical Operators.srt | 8.1 KB | ||
| 8. Exercise Logical Operators.srt | 8.4 KB | ||
| 9. is vs ==.srt | 8.12 KB | ||
| 2. Machine Learning 101 | |||
| 1. What Is Machine Learning.mp4 | 16.92 MB | ||
| 1. What Is Machine Learning.srt | 8.67 KB | ||
| 2. AIMachine LearningData Science.mp4 | 19.67 MB | ||
| 2. AIMachine LearningData Science.srt | 6.36 KB | ||
| 3. Exercise Machine Learning Playground.mp4 | 42.6 MB | ||
| 3. Exercise Machine Learning Playground.srt | 8.09 KB | ||
| 3.1 Teachable Machine.html | 101 B | ||
| 4. How Did We Get Here.mp4 | 30.5 MB | ||
| 4. How Did We Get Here.srt | 7.07 KB | ||
| 5. Exercise YouTube Recommendation Engine.mp4 | 19.43 MB | ||
| 5. Exercise YouTube Recommendation Engine.srt | 5.65 KB | ||
| 5.1 Machine Learning Playground.html | 88 B | ||
| 6. Types of Machine Learning.mp4 | 22.75 MB | ||
| 6. Types of Machine Learning.srt | 5.27 KB | ||
| 7. Are You Getting It Yet.html | 160 B | ||
| 8. What Is Machine Learning Round 2.mp4 | 25.52 MB | ||
| 8. What Is Machine Learning Round 2.srt | 6.07 KB | ||
| 9. Section Review.mp4 | 2.52 MB | ||
| 9. Section Review.srt | 2.34 KB | ||
| 20. Bonus Learn Advanced Statistics and Mathematics for FREE! | |||
| 1. Statistics and Mathematics.html | 710 B | ||
| 21. Where To Go From Here | |||
| 1. Become An Alumni.html | 944 B | ||
| 2. Thank You.mp4 | 11.12 MB | ||
| 2. Thank You.srt | 3.64 KB | ||
| GetFreeCourses.Me.url | 116 B | ||
| How you can help GetFreeCourses.Me.txt | 182 B | ||
| 22. Extras | |||
| 1. Bonus Special Thank You Gift.html | 1.59 KB | ||
| 3. Machine Learning and Data Science Framework | |||
| 1. Section Overview.mp4 | 13.35 MB | ||
| 1. Section Overview.srt | 4.65 KB | ||
| 10. Modelling - Tuning.mp4 | 15.98 MB | ||
| 10. Modelling - Tuning.srt | 4.86 KB | ||
| 11. Modelling - Comparison.mp4 | 44.88 MB | ||
| 11. Modelling - Comparison.srt | 13.09 KB | ||
| 12. Experimentation.mp4 | 21.33 MB | ||
| 12. Experimentation.srt | 4.98 KB | ||
| 13. Tools We Will Use.mp4 | 27.33 MB | ||
| 13. Tools We Will Use.srt | 5.99 KB | ||
| 14. Optional Elements of AI.html | 975 B | ||
| 2. Introducing Our Framework.mp4 | 11.39 MB | ||
| 2. Introducing Our Framework.srt | 3.7 KB | ||
| 3. 6 Step Machine Learning Framework.mp4 | 23.46 MB | ||
| 3. 6 Step Machine Learning Framework.srt | 6.63 KB | ||
| 3.1 A 6 Step Field Guide for Machine Learning Modelling (blog post).html | 147 B | ||
| 4. Types of Machine Learning Problems.mp4 | 60.5 MB | ||
| 4. Types of Machine Learning Problems.srt | 13.98 KB | ||
| 5. Types of Data.mp4 | 29.33 MB | ||
| 5. Types of Data.srt | 6.52 KB | ||
| 6. Types of Evaluation.mp4 | 17.76 MB | ||
| 6. Types of Evaluation.srt | 4.33 KB | ||
| 7. Features In Data.mp4 | 36.78 MB | ||
| 7. Features In Data.srt | 6.75 KB | ||
| 8. Modelling - Splitting Data.mp4 | 27.51 MB | ||
| 8. Modelling - Splitting Data.srt | 7.71 KB | ||
| 9. Modelling - Picking the Model.mp4 | 23.24 MB | ||
| 9. Modelling - Picking the Model.srt | 6.21 KB | ||
| 4. The 2 Paths | |||
| 1. The 2 Paths.mp4 | 9.76 MB | ||
| 1. The 2 Paths.srt | 4.71 KB | ||
| 2. Python Developer Monthly.html | 476 B | ||
| 5. Data Science Environment Setup | |||
| 1. Section Overview.mp4 | 2.27 MB | ||
| 1. Section Overview.srt | 2.12 KB | ||
| 10. Jupyter Notebook Walkthrough.mp4 | 67.35 MB | ||
| 10. Jupyter Notebook Walkthrough.srt | 15.14 KB | ||
| 10.1 heart-disease.csv.csv | 11.06 KB | ||
| 10.2 Dataquest Jupyter Notebook for Beginners Tutorial.html | 117 B | ||
| 10.3 Jupyter Notebook documentation.html | 111 B | ||
| 11. Jupyter Notebook Walkthrough 2.mp4 | 103.9 MB | ||
| 11. Jupyter Notebook Walkthrough 2.srt | 22.48 KB | ||
| 12. Jupyter Notebook Walkthrough 3.mp4 | 37.94 MB | ||
| 12. Jupyter Notebook Walkthrough 3.srt | 11.49 KB | ||
| 2. Introducing Our Tools.mp4 | 19.29 MB | ||
| 2. Introducing Our Tools.srt | 4.34 KB | ||
| 3. What is Conda.mp4 | 12.49 MB | ||
| 3. What is Conda.srt | 3.41 KB | ||
| 3.1 Getting your computer ready for machine learning How.html | 167 B | ||
| 3.2 Conda documentation.html | 93 B | ||
| 3.3 Getting started with Conda (documentation).html | 139 B | ||
| 3.4 conda-cheatsheet.pdf.pdf | 201.29 KB | ||
| 4. Conda Environments.mp4 | 30.56 MB | ||
| 4. Conda Environments.srt | 6.15 KB | ||
| 5. Mac Environment Setup.mp4 | 144.39 MB | ||
| 5. Mac Environment Setup.srt | 23.93 KB | ||
| 5.1 Miniconda download documentation.html | 107 B | ||
| 6. Mac Environment Setup 2.mp4 | 125.46 MB | ||
| 6. Mac Environment Setup 2.srt | 20.69 KB | ||
| 7. Windows Environment Setup.mp4 | 47.92 MB | ||
| 7. Windows Environment Setup.srt | 7.62 KB | ||
| 7.1 Miniconda download documentation.html | 107 B | ||
| 8. Windows Environment Setup 2.mp4 | 227.6 MB | ||
| 8. Windows Environment Setup 2.srt | 31.61 KB | ||
| 9. Linux Environment Setup.html | 1.03 KB | ||
| 6. Pandas Data Analysis | |||
| 1. Section Overview.mp4 | 10.88 MB | ||
| 1. Section Overview.srt | 3.75 KB | ||
| 10. Manipulating Data 2.mp4 | 86.53 MB | ||
| 10. Manipulating Data 2.srt | 13.85 KB | ||
| 10.1 pandas-anatomy-of-a-dataframe.png.png | 333.24 KB | ||
| 11. Manipulating Data 3.mp4 | 91.02 MB | ||
| 11. Manipulating Data 3.srt | 13.71 KB | ||
| 11.1 Introduction to Pandas Jupyter Notebook (with annotations).html | 185 B | ||
| 11.2 Introduction to Pandas Jupyter Notebook (from the videos).html | 191 B | ||
| 12. Assignment Pandas Practice.html | 2.05 KB | ||
| 13. How To Download The Course Assignments.mp4 | 66.78 MB | ||
| 13. How To Download The Course Assignments.srt | 11.06 KB | ||
| 13.1 Course notebooks - Github.html | 108 B | ||
| 13.2 Google Colab.html | 95 B | ||
| 2. Downloading Workbooks and Assignments.html | 774 B | ||
| 3. Pandas Introduction.mp4 | 27.44 MB | ||
| 3.1 Pandas Documentation.html | 106 B | ||
| 3.2 Introduction to Pandas Jupyter Notebook (with annotations).html | 185 B | ||
| 3.3 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html | 191 B | ||
| 3.4 10-minutes to pandas (from the pandas documentation).html | 132 B | ||
| 4. Series, Data Frames and CSVs.srt | 16.82 KB | ||
| 4.1 pandas-anatomy-of-a-dataframe.png.png | 333.24 KB | ||
| 5. Data from URLs.html | 1.09 KB | ||
| 6. Describing Data with Pandas.srt | 13.58 KB | ||
| 7. Selecting and Viewing Data with Pandas.srt | 14.59 KB | ||
| 7.1 car-sales.csv.csv | 369 B | ||
| 8. Selecting and Viewing Data with Pandas Part 2.srt | 17.92 KB | ||
| 9. Manipulating Data.mp4 | 104.99 MB | ||
| 9. Manipulating Data.srt | 18.07 KB | ||
| 9.1 car-sales-extended-missing-data.csv.csv | 30.2 KB | ||
| 9.2 Jake VanderPlas_s Data Manipulation with Pandas.html | 146 B | ||
| 7. NumPy | |||
| 1. Section Overview.mp4 | 13.32 MB | ||
| 1. Section Overview.srt | 3.11 KB | ||
| 10. Standard Deviation and Variance.mp4 | 51.16 MB | ||
| 10. Standard Deviation and Variance.srt | 9.35 KB | ||
| 10.1 Standard deviation and variance explained.html | 116 B | ||
| 11. Reshape and Transpose.mp4 | 53.53 MB | ||
| 11. Reshape and Transpose.srt | 9.53 KB | ||
| 12. Dot Product vs Element Wise.mp4 | 83.93 MB | ||
| 12. Dot Product vs Element Wise.srt | 15.34 KB | ||
| 12.1 Matrix Multiplication Explained.html | 119 B | ||
| 13. Exercise Nut Butter Store Sales.mp4 | 91.32 MB | ||
| 13. Exercise Nut Butter Store Sales.srt | 16.96 KB | ||
| 14. Comparison Operators.mp4 | 26.37 MB | ||
| 14. Comparison Operators.srt | 5.26 KB | ||
| 15. Sorting Arrays.mp4 | 32.83 MB | ||
| 15. Sorting Arrays.srt | 8.8 KB | ||
| 16. Turn Images Into NumPy Arrays.mp4 | 85.91 MB | ||
| 16. Turn Images Into NumPy Arrays.srt | 10.42 KB | ||
| 16.1 Introduction to NumPy Jupyter Notebook (with annotations).html | 184 B | ||
| 16.2 numpy-images.zip.zip | 7.27 MB | ||
| 16.3 Introduction to NumPy Jupyter Notebook (from the videos).html | 190 B | ||
| 17. Assignment NumPy Practice.html | 2.17 KB | ||
| 18. Optional Extra NumPy resources.html | 1.02 KB | ||
| 2. NumPy Introduction.mp4 | 26.84 MB | ||
| 2. NumPy Introduction.srt | 7.5 KB | ||
| 2.1 NumPy Documentation.html | 83 B | ||
| 2.2 Introduction to NumPy Jupyter Notebook (from the upcoming videos).html | 190 B | ||
| 2.3 Introduction to NumPy Jupyter Notebook (with annotations).html | 184 B | ||
| 3. Quick Note Correction In Next Video.html | 1.25 KB | ||
| 4. NumPy DataTypes and Attributes.mp4 | 78.99 MB | ||
| 4. NumPy DataTypes and Attributes.srt | 19.19 KB | ||
| 5. Creating NumPy Arrays.mp4 | 66.77 MB | ||
| 5. Creating NumPy Arrays.srt | 12.44 KB | ||
| 6. NumPy Random Seed.mp4 | 51.92 MB | ||
| 6. NumPy Random Seed.srt | 9.72 KB | ||
| 7. Viewing Arrays and Matrices.mp4 | 70.64 MB | ||
| 7. Viewing Arrays and Matrices.srt | 12.89 KB | ||
| 8. Manipulating Arrays.mp4 | 80.65 MB | ||
| 8. Manipulating Arrays.srt | 16.17 KB | ||
| 8.1 Standard deviation and variance explained.html | 116 B | ||
| 9. Manipulating Arrays 2.mp4 | 67.9 MB | ||
| 9. Manipulating Arrays 2.srt | 11.49 KB | ||
| 9.1 Standard deviation and variance explained.html | 116 B | ||
| 8. Matplotlib + Seaborn Plotting and Data Visualization | |||
| 1. Section Overview.mp4 | 8.6 MB | ||
| 1. Section Overview.srt | 2.69 KB | ||
| 10. Quick Note Regular Expressions.html | 632 B | ||
| 11. Plotting From Pandas DataFrames 2.mp4 | 98.8 MB | ||
| 11. Plotting From Pandas DataFrames 2.srt | 13.63 KB | ||
| 12. Plotting from Pandas DataFrames 3.mp4 | 74.71 MB | ||
| 12. Plotting from Pandas DataFrames 3.srt | 11.46 KB | ||
| 13. Plotting from Pandas DataFrames 4.mp4 | 49 MB | ||
| 13. Plotting from Pandas DataFrames 4.srt | 9.41 KB | ||
| 13.1 heart-disease.csv.csv | 11.06 KB | ||
| 14. Plotting from Pandas DataFrames 5.mp4 | 56.97 MB | ||
| 14. Plotting from Pandas DataFrames 5.srt | 11.63 KB | ||
| 15. Plotting from Pandas DataFrames 6.mp4 | 82.04 MB | ||
| 15. Plotting from Pandas DataFrames 6.srt | 11.08 KB | ||
| 16. Plotting from Pandas DataFrames 7.mp4 | 119.75 MB | ||
| 16. Plotting from Pandas DataFrames 7.srt | 14.95 KB | ||
| 17. Customizing Your Plots.mp4 | 92.21 MB | ||
| 17. Customizing Your Plots.srt | 13.95 KB | ||
| 18. Customizing Your Plots 2.mp4 | 123.66 MB | ||
| 18. Customizing Your Plots 2.srt | 13.29 KB | ||
| 19. Saving And Sharing Your Plots.mp4 | 49.52 MB | ||
| 19. Saving And Sharing Your Plots.srt | 5.83 KB | ||
| 19.1 Introduction to Matplotlib Notebook (from the videos).html | 195 B | ||
| 2. Matplotlib Introduction.mp4 | 31.51 MB | ||
| 2. Matplotlib Introduction.srt | 8.03 KB | ||
| 2.1 Introduction to Matplotlib Jupyter Notebook (from the upcoming videos).html | 195 B | ||
| 2.2 Matplotlib Documentation.html | 103 B | ||
| 20. Assignment Matplotlib Practice.html | 2.05 KB | ||
| 3. Importing And Using Matplotlib.mp4 | 86.45 MB | ||
| 3. Importing And Using Matplotlib.srt | 16.05 KB | ||
| 4. Anatomy Of A Matplotlib Figure.mp4 | 82.15 MB | ||
| 4. Anatomy Of A Matplotlib Figure.srt | 14.16 KB | ||
| 4.1 matplotlib-anatomy-of-a-plot.png.png | 369.39 KB | ||
| 4.2 matplotlib-anatomy-of-a-plot-with-code.png.png | 654.77 KB | ||
| 5. Scatter Plot And Bar Plot.mp4 | 67.03 MB | ||
| 5. Scatter Plot And Bar Plot.srt | 14.67 KB | ||
| 6. Histograms And Subplots.mp4 | 69.75 MB | ||
| 6. Histograms And Subplots.srt | 12.44 KB | ||
| 7. Subplots Option 2.mp4 | 38.09 MB | ||
| 7. Subplots Option 2.srt | 6.4 KB | ||
| 8. Quick Tip Data Visualizations.mp4 | 12.25 MB | ||
| 8. Quick Tip Data Visualizations.srt | 2.34 KB | ||
| 9. Plotting From Pandas DataFrames.mp4 | 60.35 MB | ||
| 9. Plotting From Pandas DataFrames.srt | 9.02 KB | ||
| Tutnetflix.com - Telegram @FTUplusrip.txt | 37 B | ||
| 9. Scikit-learn Creating Machine Learning Models | |||
| 1. Section Overview.mp4 | 12.46 MB | ||
| 1. Section Overview.srt | 4.1 KB | ||
| 10. Quick Tip Clean, Transform, Reduce.mp4 | 16.54 MB | ||
| 10. Quick Tip Clean, Transform, Reduce.srt | 6.42 KB | ||
| 11. Getting Your Data Ready Convert Data To Numbers.mp4 | 135.02 MB | ||
| 11. Getting Your Data Ready Convert Data To Numbers.srt | 22.71 KB | ||
| 12. Getting Your Data Ready Handling Missing Values With Pandas.mp4 | 104.84 MB | ||
| 12. Getting Your Data Ready Handling Missing Values With Pandas.srt | 16.94 KB | ||
| 13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 | 136.89 MB | ||
| 13. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt | 23.13 KB | ||
| 14. Choosing The Right Model For Your Data.mp4 | 143.26 MB | ||
| 14. Choosing The Right Model For Your Data.srt | 21.38 KB | ||
| 14.1 Scikit-Learn machine learning map (how to choose the right machine learning model).html | 133 B | ||
| 15. Choosing The Right Model For Your Data 2 (Regression).mp4 | 86.92 MB | ||
| 15. Choosing The Right Model For Your Data 2 (Regression).srt | 11.98 KB | ||
| 16. Quick Note Decision Trees.html | 221 B | ||
| 17. Quick Tip How ML Algorithms Work.srt | 1.91 KB | ||
| 18. Choosing The Right Model For Your Data 3 (Classification).mp4 | 118.84 MB | ||
| 18. Choosing The Right Model For Your Data 3 (Classification).srt | 17.13 KB | ||
| 19. Fitting A Model To The Data.mp4 | 56.56 MB | ||
| 19. Fitting A Model To The Data.srt | 9.33 KB | ||
| 2. Scikit-learn Introduction.mp4 | 40.63 MB | ||
| 2. Scikit-learn Introduction.srt | 10.6 KB | ||
| 2.1 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html | 197 B | ||
| 2.2 Scikit-Learn Documentation.html | 108 B | ||
| 2.3 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html | 191 B | ||
| 20. Making Predictions With Our Model.mp4 | 66.5 MB | ||
| 20. Making Predictions With Our Model.srt | 12.08 KB | ||
| 21. predict() vs predict_proba().mp4 | 54.33 MB | ||
| 21. predict() vs predict_proba().srt | 11.56 KB | ||
| 22. Making Predictions With Our Model (Regression).mp4 | 44.91 MB | ||
| 22. Making Predictions With Our Model (Regression).srt | 9.13 KB | ||
| 23. Evaluating A Machine Learning Model (Score).mp4 | 87.13 MB | ||
| 23. Evaluating A Machine Learning Model (Score).srt | 12.86 KB | ||
| 24. Evaluating A Machine Learning Model 2 (Cross Validation).mp4 | 95.97 MB | ||
| 24. Evaluating A Machine Learning Model 2 (Cross Validation).srt | 17.25 KB | ||
| 25. Evaluating A Classification Model 1 (Accuracy).mp4 | 31.41 MB | ||
| 25. Evaluating A Classification Model 1 (Accuracy).srt | 5.87 KB | ||
| 26. Evaluating A Classification Model 2 (ROC Curve).mp4 | 66.03 MB | ||
| 26. Evaluating A Classification Model 2 (ROC Curve).srt | 12.28 KB | ||
| 27. Evaluating A Classification Model 3 (ROC Curve).mp4 | 50.61 MB | ||
| 27. Evaluating A Classification Model 3 (ROC Curve).srt | 10.04 KB | ||
| 28. Evaluating A Classification Model 4 (Confusion Matrix).mp4 | 77.72 MB | ||
| 28. Evaluating A Classification Model 4 (Confusion Matrix).srt | 15.11 KB | ||
| 29. Evaluating A Classification Model 5 (Confusion Matrix).mp4 | 63.59 MB | ||
| 29. Evaluating A Classification Model 5 (Confusion Matrix).srt | 11.2 KB | ||
| 3. Quick Note Upcoming Video.html | 390 B | ||
| 30. Evaluating A Classification Model 6 (Classification Report).mp4 | 87.24 MB | ||
| 30. Evaluating A Classification Model 6 (Classification Report).srt | 14.56 KB | ||
| 31. Evaluating A Regression Model 1 (R2 Score).mp4 | 70.39 MB | ||
| 31. Evaluating A Regression Model 1 (R2 Score).srt | 12.01 KB | ||
| 32. Evaluating A Regression Model 2 (MAE).srt | 5.7 KB | ||
| 33. Evaluating A Regression Model 3 (MSE).mp4 | 54.9 MB | ||
| 33. Evaluating A Regression Model 3 (MSE).srt | 9.23 KB | ||
| 34. Machine Learning Model Evaluation.html | 7.12 KB | ||
| 35. Evaluating A Model With Cross Validation and Scoring Parameter.mp4 | 91.49 MB | ||
| 35. Evaluating A Model With Cross Validation and Scoring Parameter.srt | 17.96 KB | ||
| 36. Evaluating A Model With Scikit-learn Functions.mp4 | 94.82 MB | ||
| 36. Evaluating A Model With Scikit-learn Functions.srt | 16.32 KB | ||
| 37. Improving A Machine Learning Model.mp4 | 90.93 MB | ||
| 37. Improving A Machine Learning Model.srt | 14.86 KB | ||
| 38. Tuning Hyperparameters.mp4 | 175.53 MB | ||
| 38. Tuning Hyperparameters.srt | 30.54 KB | ||
| 39. Tuning Hyperparameters 2.mp4 | 116.77 MB | ||
| 39. Tuning Hyperparameters 2.srt | 16.97 KB | ||
| 4. Refresher What Is Machine Learning.mp4 | 88.27 MB | ||
| 4. Refresher What Is Machine Learning.srt | 6.33 KB | ||
| 40. Tuning Hyperparameters 3.mp4 | 121.76 MB | ||
| 40. Tuning Hyperparameters 3.srt | 18.78 KB | ||
| 41. Quick Tip Correlation Analysis.srt | 3.09 KB | ||
| 42. Saving And Loading A Model.mp4 | 52.6 MB | ||
| 42. Saving And Loading A Model.srt | 9.85 KB | ||
| 43. Saving And Loading A Model 2.mp4 | 56.77 MB | ||
| 43. Saving And Loading A Model 2.srt | 8.98 KB | ||
| 44. Putting It All Together.mp4 | 158.35 MB | ||
| 44. Putting It All Together.srt | 26.43 KB | ||
| 45. Putting It All Together 2.mp4 | 116.85 MB | ||
| 45. Putting It All Together 2.srt | 16.11 KB | ||
| 45.1 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html | 191 B | ||
| 45.2 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html | 197 B | ||
| 46. Scikit-Learn Practice.html | 2.07 KB | ||
| 5. Quick Note Upcoming Videos.html | 1018 B | ||
| 6. Scikit-learn Cheatsheet.mp4 | 75.13 MB | ||
| 6. Scikit-learn Cheatsheet.srt | 10.08 KB | ||
| 6.1 Scikit-Learn Reference Notebook.html | 194 B | ||
| 7. Typical scikit-learn Workflow.mp4 | 190.18 MB | ||
| 7. Typical scikit-learn Workflow.srt | 31.71 KB | ||
| 7.1 Example Scikit-Learn Workflow Notebook.html | 192 B | ||
| 8. Optional Debugging Warnings In Jupyter.mp4 | 176.13 MB | ||
| 8. Optional Debugging Warnings In Jupyter.srt | 25.51 KB | ||
| 9. Getting Your Data Ready Splitting Your Data.mp4 | 63.66 MB | ||
| 9. Getting Your Data Ready Splitting Your Data.srt | 12.08 KB | ||
| GetFreeCourses.Me.url | 116 B | ||
| How you can help GetFreeCourses.Me.txt | 182 B | ||
| ▲ 634 total files | |||
Download Paid Udemy Courses For Free: GetFreeCourses.Me
Requirements
No prior experience is needed (not even Math and Statistics). We start from the very basics.
A computer (Linux/Windows/Mac) with internet connection.
Two paths for those that know programming and those that don't.
All tools used in this course are free for you to use.
Description
Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan,+ other top tech companies.
Read More At: https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.9 GB | freecoursewb | 3 months | 4 | 0 | |
| 1.3 GB | freecoursewb | 6 months | 4 | 2 | |
|
Udemy - Complete Machine Learning and Data Science With Python ML A-Z Posted by
freecoursewb in Other
|
3.1 GB | freecoursewb | 6 months | 16 | 8 |
| 1.3 GB | freecoursewb | 7 months | 4 | 3 | |
|
[LinkedIn Learning] Advance Your Skills as a Machine Learning Specialist - Complete 9 Courses Posted by
SunRiseZone in Other
|
2.1 GB | SunRiseZone | 1 year | 0 | 0 |
All Comments