FreeCourseSite com Udemy Data Science Supervised Machine Learning in Python

FreeCourseSite com Udemy Data Science Supervised Machine Learning in Python

Name	[FreeCourseSite.com] Udemy - Data Science Supervised Machine Learning in Python	DOWNLOAD Copy Link
Total Size	1.1 GB
Total Files	105
Last Seen	2024-10-05 23:38
Hash	E61FE4D155BF84133951D1DD35DF3C0E0CB6141C

/1. Introduction and Review/
1. Introduction and Outline.mp4	8.0 MB
1. Introduction and Outline.vtt	5.2 KB
2. Review of Important Concepts.mp4	6.3 MB
2. Review of Important Concepts.vtt	4.0 KB
3. Where to get the Code and Data.mp4	4.0 MB
3. Where to get the Code and Data.vtt	2.4 KB
4. How to Succeed in this Course.mp4	3.5 MB
4. How to Succeed in this Course.vtt	3.6 KB
/2. K-Nearest Neighbor/
1. K-Nearest Neighbor Intuition.mp4	18.4 MB
1. K-Nearest Neighbor Intuition.vtt	4.4 KB
2. K-Nearest Neighbor Concepts.mp4	9.0 MB
2. K-Nearest Neighbor Concepts.vtt	5.6 KB
3. KNN in Code with MNIST.mp4	18.8 MB
3. KNN in Code with MNIST.vtt	6.6 KB
4. When KNN Can Fail.mp4	8.1 MB
4. When KNN Can Fail.vtt	4.1 KB
5. KNN for the XOR Problem.mp4	4.5 MB
5. KNN for the XOR Problem.vtt	2.0 KB
6. KNN for the Donut Problem.mp4	5.7 MB
6. KNN for the Donut Problem.vtt	2.3 KB
7. Effect of K.mp4	37.5 MB
7. Effect of K.vtt	6.3 KB
/3. Naive Bayes and Bayes Classifiers/
1. Bayes Classifier Intuition (Continuous).mp4	84.1 MB
1. Bayes Classifier Intuition (Continuous).vtt	20.5 KB
2. Bayes Classifier Intuition (Discrete).mp4	52.5 MB
2. Bayes Classifier Intuition (Discrete).vtt	11.6 KB
3. Naive Bayes.mp4	16.5 MB
3. Naive Bayes.vtt	10.3 KB
4. Naive Bayes Handwritten Example.mp4	6.1 MB
4. Naive Bayes Handwritten Example.vtt	3.2 KB
5. Naive Bayes in Code with MNIST.mp4	15.1 MB
5. Naive Bayes in Code with MNIST.vtt	4.3 KB
6. Non-Naive Bayes.mp4	7.7 MB
6. Non-Naive Bayes.vtt	4.4 KB
7. Bayes Classifier in Code with MNIST.mp4	4.7 MB
7. Bayes Classifier in Code with MNIST.vtt	1.5 KB
8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).mp4	10.9 MB
8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).vtt	6.7 KB
9. Generative vs Discriminative Models.mp4	5.4 MB
9. Generative vs Discriminative Models.vtt	2.8 KB
/4. Decision Trees/
1. Decision Tree Intuition.mp4	21.4 MB
1. Decision Tree Intuition.vtt	5.0 KB
2. Decision Tree Basics.mp4	8.7 MB
2. Decision Tree Basics.vtt	5.6 KB
3. Information Entropy.mp4	7.3 MB
3. Information Entropy.vtt	3.9 KB
4. Maximizing Information Gain.mp4	14.6 MB
4. Maximizing Information Gain.vtt	8.7 KB
5. Choosing the Best Split.mp4	7.0 MB
5. Choosing the Best Split.vtt	4.3 KB
6. Decision Tree in Code.mp4	31.8 MB
6. Decision Tree in Code.vtt	9.8 KB
/5. Perceptrons/
1. Perceptron Concepts.mp4	12.8 MB
1. Perceptron Concepts.vtt	7.8 KB
2. Perceptron in Code.mp4	14.4 MB
2. Perceptron in Code.vtt	4.2 KB
3. Perceptron for MNIST and XOR.mp4	9.2 MB
3. Perceptron for MNIST and XOR.vtt	2.0 KB
4. Perceptron Loss Function.mp4	6.6 MB
4. Perceptron Loss Function.vtt	4.4 KB
/6. Practical Machine Learning/
1. Hyperparameters and Cross-Validation.mp4	7.8 MB
1. Hyperparameters and Cross-Validation.vtt	4.6 KB
2. Feature Extraction and Feature Selection.mp4	7.4 MB
2. Feature Extraction and Feature Selection.vtt	4.4 KB
3. Comparison to Deep Learning.mp4	9.1 MB
3. Comparison to Deep Learning.vtt	5.5 KB
4. Multiclass Classification.mp4	5.9 MB
4. Multiclass Classification.vtt	3.7 KB
5. Sci-Kit Learn.mp4	16.6 MB
5. Sci-Kit Learn.vtt	10.1 KB
6. Regression with Sci-Kit Learn is Easy.mp4	11.3 MB
6. Regression with Sci-Kit Learn is Easy.vtt	5.4 KB
/7. Building a Machine Learning Web Service/
1. Building a Machine Learning Web Service Concepts.mp4	7.6 MB
1. Building a Machine Learning Web Service Concepts.vtt	4.8 KB
2. Building a Machine Learning Web Service Code.mp4	12.4 MB
2. Building a Machine Learning Web Service Code.vtt	6.7 KB
/8. Conclusion/
1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).mp4	6.6 MB
1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).vtt	3.2 KB
/9. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.4 KB
10. Python 2 vs Python 3.mp4	8.2 MB
10. Python 2 vs Python 3.vtt	5.5 KB
11. What order should I take your courses in (part 1).mp4	30.7 MB
11. What order should I take your courses in (part 1).vtt	14.4 KB
12. What order should I take your courses in (part 2).mp4	39.4 MB
12. What order should I take your courses in (part 2).vtt	20.7 KB
2. Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
2. Where to get Udemy coupons and FREE deep learning material.vtt	3.1 KB
3. Windows-Focused Environment Setup 2018.mp4	195.4 MB
3. Windows-Focused Environment Setup 2018.vtt	17.8 KB
4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4	46.0 MB
4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.vtt	12.7 KB
5. How to Code by Yourself (part 1).mp4	25.7 MB
5. How to Code by Yourself (part 1).vtt	20.3 KB
6. How to Code by Yourself (part 2).mp4	15.5 MB
6. How to Code by Yourself (part 2).vtt	11.9 KB
7. How to Succeed in this Course (Long Version).mp4	13.6 MB
7. How to Succeed in this Course (Long Version).vtt	13.2 KB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	28.4 KB
9. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
9. Proof that using Jupyter Notebook is the same as not using it.vtt	12.5 KB
/
[CourseClub.NET].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
Total files 105