Create Tool:
Create Time:2024-05-27 14:31:34
File Size:1.77 GB
File Count:103
File Hash:7fe286c0f3b84ae078a2b7140e251fd337f5ef0a
| 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 | 190.71 MB |
| 7. Machine Learning Basics/3. Classification in Code.mp4 | 128.45 MB |
| 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 | 80.16 MB |
| 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 | 78.97 MB |
| 2. Numpy (New)/7. Generating Data.mp4 | 64.69 MB |
| 7. Machine Learning Basics/2. What is Classification.mp4 | 63.71 MB |
| 7. Machine Learning Basics/5. Regression in Code.mp4 | 63.34 MB |
| 1. Welcome and Logistics/1. Introduction and Outline.mp4 | 61.93 MB |
| 2. Numpy (New)/5. Matrices.mp4 | 58.57 MB |
| 2. Numpy (New)/2. Arrays vs Lists.mp4 | 51.99 MB |
| 4. Pandas (New)/3. Selecting Rows and Columns.mp4 | 50.30 MB |
| 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 | 46.60 MB |
| 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 44.98 MB |
| 7. Machine Learning Basics/4. What is Regression.mp4 | 44.24 MB |
| 5. Scipy (New)/5. Where to Learn More Scipy.mp4 | 39.88 MB |
| 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 | 39.81 MB |
| 2. Numpy (New)/9. Where to Learn More Numpy.mp4 | 39.79 MB |
| 3. Matplotlib (New)/5. Plotting Images.mp4 | 39.55 MB |
| 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 38.76 MB |
| 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 | 38.52 MB |
| 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.mp4 | 37.60 MB |
| 7. Machine Learning Basics/6. What is a Feature Vector.mp4 | 33.62 MB |
| 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 | 30.02 MB |
| 2. Numpy (New)/3. Dot Product.mp4 | 26.96 MB |
| 4. Pandas (New)/7. Where to Learn More Pandas.mp4 | 26.18 MB |
| 1. Welcome and Logistics/5. Extra Resources.mp4 | 25.90 MB |
| 2. Numpy (New)/1. Numpy Section Introduction.mp4 | 24.64 MB |
| 4. Pandas (New)/2. Loading in Data.mp4 | 24.18 MB |
| 5. Scipy (New)/3. Convolution.mp4 | 22.02 MB |
| 7. Machine Learning Basics/11. Machine Learning Section Summary.mp4 | 21.93 MB |
| 7. Machine Learning Basics/8. All Data is the Same.mp4 | 21.85 MB |
| 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.mp4 | 19.72 MB |
| 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.mp4 | 19.55 MB |
| 3. Matplotlib (New)/3. Scatterplot.mp4 | 18.32 MB |
| 6. Bonus Exercises/1. More Exercises.mp4 | 17.10 MB |
| 3. Matplotlib (New)/2. Line Chart.mp4 | 16.54 MB |
| 2. Numpy (New)/10. Suggestion Box.mp4 | 16.52 MB |
| 2. Numpy (New)/4. Speed Test.mp4 | 15.10 MB |
| 3. Matplotlib (New)/1. Matplotlib Section Introduction.mp4 | 15.09 MB |
| 5. Scipy (New)/2. PDF and CDF.mp4 | 14.84 MB |
| 2. Numpy (New)/6. Solving Linear Systems.mp4 | 14.77 MB |
| 4. Pandas (New)/6. Pandas Exercise.mp4 | 13.82 MB |
| 4. Pandas (New)/5. Plotting with Pandas.mp4 | 13.70 MB |
| 3. Matplotlib (New)/6. Matplotlib Exercise.mp4 | 12.68 MB |
| 4. Pandas (New)/4. The apply() Function.mp4 | 10.68 MB |
| 3. Matplotlib (New)/4. Histogram.mp4 | 10.60 MB |
| 5. Scipy (New)/4. Scipy Exercise.mp4 | 6.53 MB |
| 5. Scipy (New)/1. Scipy Section Introduction.mp4 | 6.46 MB |
| 4. Pandas (New)/1. Pandas Section Introduction.mp4 | 6.02 MB |
| 2. Numpy (New)/8. Numpy Exercise.mp4 | 4.81 MB |
| 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).srt | 23 KB |
| 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt | 20 KB |
| 3. Matplotlib (New)/7. Where to Learn More Matplotlib.srt | 17 KB |
| 2. Numpy (New)/7. Generating Data.srt | 17 KB |
| 7. Machine Learning Basics/4. What is Regression.srt | 17 KB |
| 7. Machine Learning Basics/2. What is Classification.srt | 17 KB |
| 7. Machine Learning Basics/3. Classification in Code.srt | 16 KB |
| 2. Numpy (New)/5. Matrices.srt | 16 KB |
| 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).srt | 16 KB |
| 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt | 14 KB |
| 2. Numpy (New)/2. Arrays vs Lists.srt | 14 KB |
| 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.srt | 14 KB |
| 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.srt | 13 KB |
| 1. Welcome and Logistics/1. Introduction and Outline.srt | 11 KB |
| 7. Machine Learning Basics/1. Machine Learning Section Introduction.srt | 11 KB |
| 6. Bonus Exercises/1. More Exercises.srt | 10 KB |
| 4. Pandas (New)/3. Selecting Rows and Columns.srt | 10 KB |
| 5. Scipy (New)/5. Where to Learn More Scipy.srt | 10 KB |
| 2. Numpy (New)/9. Where to Learn More Numpy.srt | 10 KB |
| 7. Machine Learning Basics/5. Regression in Code.srt | 10 KB |
| 7. Machine Learning Basics/6. What is a Feature Vector.srt | 9 KB |
| 3. Matplotlib (New)/5. Plotting Images.srt | 8 KB |
| 7. Machine Learning Basics/11. Machine Learning Section Summary.srt | 8 KB |
| 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.srt | 8 KB |
| 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.srt | 8 KB |
| 2. Numpy (New)/1. Numpy Section Introduction.srt | 7 KB |
| 7. Machine Learning Basics/8. All Data is the Same.srt | 7 KB |
| 2. Numpy (New)/3. Dot Product.srt | 7 KB |
| 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.srt | 6 KB |
| 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.srt | 6 KB |
| 4. Pandas (New)/7. Where to Learn More Pandas.srt | 6 KB |
| 3. Matplotlib (New)/3. Scatterplot.srt | 4 KB |
| 1. Welcome and Logistics/5. Extra Resources.srt | 4 KB |
| 2. Numpy (New)/10. Suggestion Box.srt | 4 KB |
| 5. Scipy (New)/3. Convolution.srt | 4 KB |
| 2. Numpy (New)/6. Solving Linear Systems.srt | 4 KB |
| 3. Matplotlib (New)/2. Line Chart.srt | 3 KB |
| 2. Numpy (New)/4. Speed Test.srt | 3 KB |
| 4. Pandas (New)/2. Loading in Data.srt | 3 KB |
| 3. Matplotlib (New)/1. Matplotlib Section Introduction.srt | 3 KB |
| 5. Scipy (New)/2. PDF and CDF.srt | 3 KB |
| 4. Pandas (New)/6. Pandas Exercise.srt | 2 KB |
| 4. Pandas (New)/5. Plotting with Pandas.srt | 2 KB |
| 4. Pandas (New)/4. The apply() Function.srt | 2 KB |
| 3. Matplotlib (New)/4. Histogram.srt | 2 KB |
| 3. Matplotlib (New)/6. Matplotlib Exercise.srt | 2 KB |
| 5. Scipy (New)/1. Scipy Section Introduction.srt | 1 KB |
| 4. Pandas (New)/1. Pandas Section Introduction.srt | 1 KB |
| 5. Scipy (New)/4. Scipy Exercise.srt | 1 KB |
| 2. Numpy (New)/8. Numpy Exercise.srt | 1 KB |
| 1. Welcome and Logistics/2. What will you learn in this course.html | 0 KB |
| 1. Welcome and Logistics/3. What level of machine learning is taught in this course.html | 0 KB |
| 1. Welcome and Logistics/4. How will you practice what you learned in this course.html | 0 KB |
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