[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python

Torrent Hash:
63A50F123BCA253AFA625672035AAEA099DC9902
Number of Files:
114
Content Size:
1.12GB
Convert On:
2021-03-13
Magnet Link:
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File Name
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1. Start Here/1. Introduction and Outline.mp4
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1. Start Here/1. Introduction and Outline.srt
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1. Start Here/2. How to Succeed in this Course.mp4
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1. Start Here/2. How to Succeed in this Course.srt
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1. Start Here/3. Statistics vs. Machine Learning.mp4
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1. Start Here/3. Statistics vs. Machine Learning.srt
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1. Start Here/4. Review of the classification problem.mp4
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1. Start Here/4. Review of the classification problem.srt
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1. Start Here/5. Introduction to the E-Commerce Course Project.mp4
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1. Start Here/5. Introduction to the E-Commerce Course Project.srt
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1. Start Here/6. Easy first quiz.html
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10. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4
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10. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).srt
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10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96MB
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10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4
29.33MB
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10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).srt
17.09KB
10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4
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10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).srt
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11. Appendix FAQ/1. What is the Appendix.mp4
5.45MB
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11. Appendix FAQ/1. What is the Appendix.srt
3.82KB
11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4
37.83MB
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11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.srt
8.37KB
2/1. Define the model in 1-D, derive the solution (Updated Version).mp4
19.35MB
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2/1. Define the model in 1-D, derive the solution (Updated Version).srt
17.7KB
2/10. R-squared Quiz 1.mp4
2.8MB
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2/10. R-squared Quiz 1.srt
2.37KB
2/11. Suggestion Box.mp4
16.08MB
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2/11. Suggestion Box.srt
4.86KB
2/2. Define the model in 1-D, derive the solution.mp4
24.67MB
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2/2. Define the model in 1-D, derive the solution.srt
11.06KB
2/3. Coding the 1-D solution in Python.mp4
14.43MB
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2/3. Coding the 1-D solution in Python.srt
5.9KB
2/4. Exercise Theory vs. Code.mp4
1.05MB
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2/4. Exercise Theory vs. Code.srt
1.64KB
2/5. Determine how good the model is - r-squared.mp4
19.7MB
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2/5. Determine how good the model is - r-squared.srt
4.7KB
2/6. R-squared in code.mp4
4.5MB
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2/6. R-squared in code.srt
1.84KB
2/7. Introduction to Moore's Law Problem.mp4
4.41MB
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2/7. Introduction to Moore's Law Problem.srt
3.74KB
2/8. Demonstrating Moore's Law in Code.mp4
17.5MB
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2/8. Demonstrating Moore's Law in Code.srt
6.92KB
2/9. Moore's Law Derivation.mp4
20.18MB
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2/9. Moore's Law Derivation.srt
8.12KB
3/1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4
14.44MB
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3/1. Define the multi-dimensional problem and derive the solution (Updated Version).srt
12.48KB
3/2. Define the multi-dimensional problem and derive the solution.mp4
60.3MB
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3/2. Define the multi-dimensional problem and derive the solution.srt
12.92KB
3/3. How to solve multiple linear regression using only matrices.mp4
3.09MB
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3/3. How to solve multiple linear regression using only matrices.srt
2.04KB
3/4. Coding the multi-dimensional solution in Python.mp4
14.91MB
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3/4. Coding the multi-dimensional solution in Python.srt
5.51KB
3/5. Polynomial regression - extending linear regression (with Python code).mp4
16.39MB
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3/5. Polynomial regression - extending linear regression (with Python code).srt
5.27KB
3/6. Predicting Systolic Blood Pressure from Age and Weight.mp4
12.35MB
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3/6. Predicting Systolic Blood Pressure from Age and Weight.srt
5.48KB
3/7. R-squared Quiz 2.mp4
3.5MB
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3/7. R-squared Quiz 2.srt
2.89KB
4. Practical concerns/1. Practical Section Introduction.mp4
4.73MB
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4. Practical concerns/1. Practical Section Introduction.srt
3.75KB
4. Practical concerns/10. Why Divide by Square Root of D.mp4
23.49MB
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4. Practical concerns/10. Why Divide by Square Root of D.srt
9.37KB
4. Practical concerns/11. Practical Section Summary.mp4
3.41MB
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4. Practical concerns/11. Practical Section Summary.srt
2.75KB
4. Practical concerns/2. Interpreting the Weights.mp4
6.34MB
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4. Practical concerns/2. Interpreting the Weights.srt
5.04KB
4. Practical concerns/3. L2 Regularization - Theory.mp4
14.7MB
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4. Practical concerns/3. L2 Regularization - Theory.srt
11.5KB
4. Practical concerns/4. L2 Regularization - Code.mp4
4.46MB
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4. Practical concerns/4. L2 Regularization - Code.srt
1.65KB
4. Practical concerns/5. L1 Regularization - Theory.mp4
4.43MB
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4.02KB
4. Practical concerns/6. L1 Regularization - Code.mp4
12.02MB
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4. Practical concerns/6. L1 Regularization - Code.srt
4.95KB
4. Practical concerns/7. L1 vs L2 Regularization.mp4
4.8MB
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4.4KB
4. Practical concerns/8. The donut problem.mp4
24.69MB
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4. Practical concerns/8. The donut problem.srt
7.35KB
4. Practical concerns/9. The XOR problem.mp4
14.21MB
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6.09KB
5. Checkpoint and applications How to make sure you know your stuff/1. BONUS Sentiment Analysis.mp4
11.41MB
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5. Checkpoint and applications How to make sure you know your stuff/1. BONUS Sentiment Analysis.srt
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5. Checkpoint and applications How to make sure you know your stuff/2. BONUS Exercises + how to get good at this.mp4
5.26MB
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3.82KB
6. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4
9.82MB
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6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4
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16.01KB
6. Project Facial Expression Recognition/3. The class imbalance problem.mp4
10.12MB
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7.96KB
6. Project Facial Expression Recognition/4. Utilities walkthrough.mp4
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6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4
24.04MB
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6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.srt
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6. Project Facial Expression Recognition/6. Facial Expression Recognition Project Summary.mp4
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7. Background Review/1. Gradient Descent Tutorial.mp4
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8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4
186.28MB
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8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.srt
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8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
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8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
15.47KB
9. Extra Help With Python Coding for Beginners/1. How to Uncompress a .tar.gz file.mp4
5.44MB
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9. Extra Help With Python Coding for Beginners/1. How to Uncompress a .tar.gz file.srt
4.39KB
9. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).mp4
24.53MB
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9. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).srt
24.3KB
9. Extra Help With Python Coding for Beginners/3. How to Code by Yourself (part 2).mp4
14.81MB
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9. Extra Help With Python Coding for Beginners/3. How to Code by Yourself (part 2).srt
14.05KB
9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4
78.28MB
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9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.srt
15.08KB
9. Extra Help With Python Coding for Beginners/5. Python 2 vs Python 3.mp4
7.84MB
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9. Extra Help With Python Coding for Beginners/5. Python 2 vs Python 3.srt
6.65KB
[Tutorialsplanet.NET].url
128B

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