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1. Anaconda Environment Setup.mp4
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MP4
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186.3 MB
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1. Anaconda Environment Setup.srt
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SRT
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20.1 KB
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1. Brief overview of advanced linear regression and machine learning topics.mp4
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MP4
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8.1 MB
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1. Brief overview of advanced linear regression and machine learning topics.srt
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SRT
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5.7 KB
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1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4
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MP4
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14.4 MB
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1. Define the multi-dimensional problem and derive the solution (Updated Version).srt
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SRT
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11.7 KB
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1. How to Code by Yourself (part 1).mp4
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MP4
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24.5 MB
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1. How to Code by Yourself (part 1).srt
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SRT
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22.8 KB
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1. How to Succeed in this Course (Long Version).mp4
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MP4
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18.3 MB
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1. How to Succeed in this Course (Long Version).srt
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SRT
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14.5 KB
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1. Introduction and Outline.mp4
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MP4
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42.7 MB
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1. Introduction and Outline.srt
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SRT
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10.8 KB
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1. What do all these letters mean.mp4
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MP4
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9.6 MB
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1. What do all these letters mean.srt
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SRT
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8 KB
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1. What is machine learning How does linear regression play a role.mp4
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MP4
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8.4 MB
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1. What is machine learning How does linear regression play a role.srt
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SRT
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5.8 KB
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1. What is the Appendix.mp4
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MP4
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5.5 MB
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1. What is the Appendix.srt
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SRT
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3.7 KB
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10. Demonstrating Moore's Law in Code.mp4
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MP4
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17.5 MB
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10. Demonstrating Moore's Law in Code.srt
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SRT
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6.9 KB
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10. The Dummy Variable Trap.mp4
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MP4
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6.1 MB
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10. The Dummy Variable Trap.srt
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SRT
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5.5 KB
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11. Gradient Descent Tutorial.mp4
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MP4
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22.8 MB
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11. Gradient Descent Tutorial.srt
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SRT
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5.5 KB
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11. Moore's Law Derivation.mp4
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MP4
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20.2 MB
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11. Moore's Law Derivation.srt
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SRT
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7.6 KB
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12. Gradient Descent for Linear Regression.mp4
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MP4
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3.5 MB
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12. Gradient Descent for Linear Regression.srt
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SRT
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3.1 KB
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12. R-squared Quiz 1.mp4
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MP4
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2.8 MB
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12. R-squared Quiz 1.srt
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SRT
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2.2 KB
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13. Bypass the Dummy Variable Trap with Gradient Descent.mp4
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MP4
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8.5 MB
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13. Bypass the Dummy Variable Trap with Gradient Descent.srt
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SRT
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3.6 KB
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13. Suggestion Box.mp4
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MP4
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16.1 MB
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13. Suggestion Box.srt
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SRT
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4.7 KB
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14. L1 Regularization - Theory.mp4
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MP4
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4.7 MB
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14. L1 Regularization - Theory.srt
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SRT
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4.1 KB
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15. L1 Regularization - Code.mp4
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MP4
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8.3 MB
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15. L1 Regularization - Code.srt
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SRT
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3.5 KB
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16. L1 vs L2 Regularization.mp4
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MP4
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4.8 MB
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16. L1 vs L2 Regularization.srt
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SRT
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4.3 KB
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17. Why Divide by Square Root of D.mp4
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MP4
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23.5 MB
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17. Why Divide by Square Root of D.srt
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SRT
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8.7 KB
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2. BONUS.mp4
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MP4
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37.8 MB
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2. BONUS.srt
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SRT
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7.9 KB
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2. Define the multi-dimensional problem and derive the solution.mp4
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MP4
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36.1 MB
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2. Define the multi-dimensional problem and derive the solution.srt
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SRT
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12.9 KB
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2. Exercises, practice, and how to get good at this.mp4
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MP4
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7.2 MB
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2. Exercises, practice, and how to get good at this.srt
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SRT
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5.3 KB
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2. How to Code by Yourself (part 2).mp4
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MP4
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14.8 MB
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2. How to Code by Yourself (part 2).srt
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SRT
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13.3 KB
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2. How to Succeed in this Course.mp4
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MP4
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43.8 MB
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2. How to Succeed in this Course.srt
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SRT
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8.3 KB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.9 MB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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SRT
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14.5 KB
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2. Interpreting the Weights.mp4
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MP4
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14.2 MB
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2. Interpreting the Weights.srt
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SRT
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4.3 KB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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39 MB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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SRT
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31.8 KB
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2. What can linear regression be used for.html
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HTML
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102.4 B
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3. Define the model in 1-D, derive the solution (Updated Version).mp4
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MP4
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19.4 MB
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3. Define the model in 1-D, derive the solution (Updated Version).srt
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SRT
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16.5 KB
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3. Generalization error, train and test sets.mp4
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MP4
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4.4 MB
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3. Generalization error, train and test sets.srt
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SRT
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2.8 KB
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3. How to solve multiple linear regression using only matrices.mp4
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MP4
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3.1 MB
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3. How to solve multiple linear regression using only matrices.srt
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SRT
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2 KB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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MP4
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29.3 MB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
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SRT
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16 KB
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3. Proof that using Jupyter Notebook is the same as not using it.mp4
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MP4
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78.3 MB
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3. Proof that using Jupyter Notebook is the same as not using it.srt
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SRT
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14.1 KB
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3. Statistics vs. Machine Learning.mp4
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MP4
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55.5 MB
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3. Statistics vs. Machine Learning.srt
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SRT
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14.7 KB
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4. Coding the multi-dimensional solution in Python.mp4
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MP4
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14.9 MB
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4. Coding the multi-dimensional solution in Python.srt
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SRT
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5.2 KB
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4. Define the model in 1-D, derive the solution.mp4
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MP4
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24.7 MB
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4. Define the model in 1-D, derive the solution.srt
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SRT
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11.1 KB
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4. Generalization and Overfitting Demonstration in Code.mp4
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MP4
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17.2 MB
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4. Generalization and Overfitting Demonstration in Code.srt
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SRT
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9.2 KB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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MP4
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37.6 MB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
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SRT
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23 KB
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4. Python 2 vs Python 3.mp4
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MP4
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7.8 MB
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4. Python 2 vs Python 3.srt
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SRT
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6.1 KB
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5. Categorical inputs.mp4
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MP4
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8.2 MB
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5. Categorical inputs.srt
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SRT
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4.8 KB
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5. Coding the 1-D solution in Python.mp4
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MP4
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14.4 MB
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5. Coding the 1-D solution in Python.srt
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SRT
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5.6 KB
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5. Polynomial regression - extending linear regression (with Python code).mp4
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MP4
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16.4 MB
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5. Polynomial regression - extending linear regression (with Python code).srt
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SRT
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4.9 KB
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6. Exercise Theory vs. Code.mp4
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MP4
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1 MB
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6. Exercise Theory vs. Code.srt
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SRT
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1.6 KB
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6. One-Hot Encoding Quiz.mp4
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MP4
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3.8 MB
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6. One-Hot Encoding Quiz.srt
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SRT
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2.5 KB
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6. Predicting Systolic Blood Pressure from Age and Weight.mp4
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MP4
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12.3 MB
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6. Predicting Systolic Blood Pressure from Age and Weight.srt
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SRT
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5.5 KB
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7. Determine how good the model is - r-squared.mp4
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MP4
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11.3 MB
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7. Determine how good the model is - r-squared.srt
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SRT
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4.7 KB
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7. Probabilistic Interpretation of Squared Error.mp4
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MP4
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8.1 MB
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7. Probabilistic Interpretation of Squared Error.srt
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SRT
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6.4 KB
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7. R-squared Quiz 2.mp4
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MP4
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3.5 MB
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7. R-squared Quiz 2.srt
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SRT
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2.7 KB
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8. L2 Regularization - Theory.mp4
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MP4
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6.7 MB
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8. L2 Regularization - Theory.srt
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SRT
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5.5 KB
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8. R-squared in code.mp4
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MP4
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4.5 MB
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8. R-squared in code.srt
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SRT
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1.7 KB
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9. Introduction to Moore's Law Problem.mp4
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MP4
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4.4 MB
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9. Introduction to Moore's Law Problem.srt
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SRT
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3.7 KB
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9. L2 Regularization - Code.mp4
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MP4
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8.1 MB
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9. L2 Regularization - Code.srt
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SRT
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3.4 KB
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[Tutorialsplanet.NET].url
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URL
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102.4 B
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