Tutorialsplanet NET Udemy Deep Learning Prerequisites Logistic Regression in Python

Tutorialsplanet NET Udemy Deep Learning Prerequisites Logistic Regression in Python

Name	[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python	DOWNLOAD Copy Link
Total Size	1.2 GB
Total Files	114
Hash	63A50F123BCA253AFA625672035AAEA099DC9902

/1. Start Here/
1. Introduction and Outline.mp4	14.7 MB
1. Introduction and Outline.srt	5.4 KB
2. How to Succeed in this Course.mp4	29.3 MB
2. How to Succeed in this Course.srt	9.5 KB
3. Statistics vs. Machine Learning.mp4	58.4 MB
3. Statistics vs. Machine Learning.srt	16.4 KB
4. Review of the classification problem.mp4	3.1 MB
4. Review of the classification problem.srt	2.5 KB
5. Introduction to the E-Commerce Course Project.mp4	15.5 MB
5. Introduction to the E-Commerce Course Project.srt	14.3 KB
6. Easy first quiz.html	0.2 KB
/10. Effective Learning Strategies for Machine Learning/
1. How to Succeed in this Course (Long Version).mp4	13.6 MB
1. How to Succeed in this Course (Long Version).srt	15.9 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	34.7 KB
3. What order should I take your courses in (part 1).mp4	30.8 MB
3. What order should I take your courses in (part 1).srt	17.5 KB
4. What order should I take your courses in (part 2).mp4	39.5 MB
4. What order should I take your courses in (part 2).srt	25.7 KB
/11. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.9 KB
2. BONUS Where to get discount coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get discount coupons and FREE deep learning material.srt	8.6 KB
/2/
1. Define the model in 1-D, derive the solution (Updated Version).mp4	20.3 MB
1. Define the model in 1-D, derive the solution (Updated Version).srt	18.1 KB
10. R-squared Quiz 1.mp4	2.9 MB
10. R-squared Quiz 1.srt	2.4 KB
11. Suggestion Box.mp4	16.9 MB
11. Suggestion Box.srt	5.0 KB
2. Define the model in 1-D, derive the solution.mp4	25.9 MB
2. Define the model in 1-D, derive the solution.srt	11.3 KB
3. Coding the 1-D solution in Python.mp4	15.1 MB
3. Coding the 1-D solution in Python.srt	6.0 KB
4. Exercise Theory vs. Code.mp4	1.1 MB
4. Exercise Theory vs. Code.srt	1.7 KB
5. Determine how good the model is - r-squared.mp4	20.7 MB
5. Determine how good the model is - r-squared.srt	4.8 KB
6. R-squared in code.mp4	4.7 MB
6. R-squared in code.srt	1.9 KB
7. Introduction to Moore's Law Problem.mp4	4.6 MB
7. Introduction to Moore's Law Problem.srt	3.8 KB
8. Demonstrating Moore's Law in Code.mp4	18.3 MB
8. Demonstrating Moore's Law in Code.srt	7.1 KB
9. Moore's Law Derivation.mp4	21.2 MB
9. Moore's Law Derivation.srt	8.3 KB
/3/
1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4	15.1 MB
1. Define the multi-dimensional problem and derive the solution (Updated Version).srt	12.8 KB
2. Define the multi-dimensional problem and derive the solution.mp4	63.2 MB
2. Define the multi-dimensional problem and derive the solution.srt	13.2 KB
3. How to solve multiple linear regression using only matrices.mp4	3.2 MB
3. How to solve multiple linear regression using only matrices.srt	2.1 KB
4. Coding the multi-dimensional solution in Python.mp4	15.6 MB
4. Coding the multi-dimensional solution in Python.srt	5.6 KB
5. Polynomial regression - extending linear regression (with Python code).mp4	17.2 MB
5. Polynomial regression - extending linear regression (with Python code).srt	5.4 KB
6. Predicting Systolic Blood Pressure from Age and Weight.mp4	12.9 MB
6. Predicting Systolic Blood Pressure from Age and Weight.srt	5.6 KB
7. R-squared Quiz 2.mp4	3.7 MB
7. R-squared Quiz 2.srt	3.0 KB
/4. Practical concerns/
1. Practical Section Introduction.mp4	5.0 MB
1. Practical Section Introduction.srt	3.8 KB
10. Why Divide by Square Root of D.mp4	24.6 MB
10. Why Divide by Square Root of D.srt	9.6 KB
11. Practical Section Summary.mp4	3.6 MB
11. Practical Section Summary.srt	2.8 KB
2. Interpreting the Weights.mp4	6.6 MB
2. Interpreting the Weights.srt	5.2 KB
3. L2 Regularization - Theory.mp4	15.4 MB
3. L2 Regularization - Theory.srt	11.8 KB
4. L2 Regularization - Code.mp4	4.7 MB
4. L2 Regularization - Code.srt	1.7 KB
5. L1 Regularization - Theory.mp4	4.6 MB
5. L1 Regularization - Theory.srt	4.1 KB
6. L1 Regularization - Code.mp4	12.6 MB
6. L1 Regularization - Code.srt	5.1 KB
7. L1 vs L2 Regularization.mp4	5.0 MB
7. L1 vs L2 Regularization.srt	4.5 KB
8. The donut problem.mp4	25.9 MB
8. The donut problem.srt	7.5 KB
9. The XOR problem.mp4	14.9 MB
9. The XOR problem.srt	6.2 KB
/5. Checkpoint and applications How to make sure you know your stuff/
1. BONUS Sentiment Analysis.mp4	12.0 MB
1. BONUS Sentiment Analysis.srt	6.6 KB
2. BONUS Exercises + how to get good at this.mp4	5.5 MB
2. BONUS Exercises + how to get good at this.srt	3.9 KB
/6. Project Facial Expression Recognition/
1. Facial Expression Recognition Project Introduction.mp4	10.3 MB
1. Facial Expression Recognition Project Introduction.srt	7.1 KB
2. Facial Expression Recognition Problem Description.mp4	22.5 MB
2. Facial Expression Recognition Problem Description.srt	16.4 KB
3. The class imbalance problem.mp4	10.6 MB
3. The class imbalance problem.srt	8.1 KB
4. Utilities walkthrough.mp4	14.1 MB
4. Utilities walkthrough.srt	6.0 KB
5. Facial Expression Recognition in Code.mp4	25.2 MB
5. Facial Expression Recognition in Code.srt	8.3 KB
6. Facial Expression Recognition Project Summary.mp4	3.1 MB
6. Facial Expression Recognition Project Summary.srt	1.8 KB
/7. Background Review/
1. Gradient Descent Tutorial.mp4	23.9 MB
1. Gradient Descent Tutorial.srt	6.1 KB
/8. Setting Up Your Environment/
1. Windows-Focused Environment Setup 2018.mp4	195.3 MB
1. Windows-Focused Environment Setup 2018.srt	22.2 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	15.8 KB
/9. Extra Help With Python Coding for Beginners/
1. How to Uncompress a .tar.gz file.mp4	5.7 MB
1. How to Uncompress a .tar.gz file.srt	4.5 KB
2. How to Code by Yourself (part 1).mp4	25.7 MB
2. How to Code by Yourself (part 1).srt	24.9 KB
3. How to Code by Yourself (part 2).mp4	15.5 MB
3. How to Code by Yourself (part 2).srt	14.4 KB
4. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
4. Proof that using Jupyter Notebook is the same as not using it.srt	15.4 KB
5. Python 2 vs Python 3.mp4	8.2 MB
5. Python 2 vs Python 3.srt	6.8 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 114