[Udemy] Complete Machine Learning & Data Science with Python A-Z (05.2021)

Creation Time	Nov. 5, 2023, 5:05 p.m.
Last Access Time	Nov. 1, 2024, 8:35 a.m.
File Size	3.1 GB
Keywords	Complete 05 with Science Udemy Machine Python A-Z 2021 Learning Data
Total Requests	95
Total Files	88
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4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 197.5 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 165.8 MB
7. K Nearest Neighbors Algorithm/4. K Nearest Neighbors Algorithm Project Solutions.mp4 144.3 MB
7. K Nearest Neighbors Algorithm/2. K Nearest Neighbors Algorithm With Python.mp4 140.4 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 136.7 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 128.6 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 126.9 MB
6. Logistic Regression Algorithm/3. Logistic Regression Algorithm With Python Part 2.mp4 114.9 MB
6. Logistic Regression Algorithm/6. Logistic Regression Algorithm Project Solutions.mp4 114.3 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 112.2 MB
6. Logistic Regression Algorithm/2. Logistic Regression Algorithm With Python Part 1.mp4 110.4 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 105.9 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 97.9 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 94.0 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 93.1 MB
6. Logistic Regression Algorithm/1. Logistic Regression Algorithm Theory.mp4 91.5 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 89.1 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 86.2 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 84.4 MB
2. Evalution Metrics/4. Machine Learning With Python.mp4 66.7 MB
4. Linear Regression Algorithm/3. Linear Regression Algorithm With Python Part 2.mp4 60.7 MB
6. Logistic Regression Algorithm/4. Logistic Regression Algorithm With Python Part 3.mp4 59.8 MB
3. Supervised Learning/1. Supervised Learning Overview.mp4 59.4 MB
8. Decision Trees And Random Forest Algorithm/1. Decision Trees And Random Forest Algorithm Theory.mp4 56.9 MB
12. Hierarchical Clustering Algorithm/2. Hierarchical Clustering Algorithm With Python.mp4 49.1 MB
5. Bias Variance Trade-Off/1. Bias Variance Trade-Off.mp4 48.7 MB
8. Decision Trees And Random Forest Algorithm/3. Decision Trees And Random Forest Algorithm Project Overview.mp4 42.4 MB
9. Support Vector Machine Algorithm/1. Support Vector Machines Algorithm Theory.mp4 40.9 MB
4. Linear Regression Algorithm/1. Linear Regression Algorithm Theory.mp4 39.5 MB
2. Evalution Metrics/3. Evaluating Performance Regression Error Metrics.mp4 39.0 MB
14. Recommender System Algorithm/1. Recommender System Algorithm Theory.mp4 38.1 MB
11. K Means Clustering Algorithm/3. K Means Clustering Algorithm Project Overview.mp4 37.7 MB
7. K Nearest Neighbors Algorithm/1. K Nearest Neighbors Algorithm Theory.mp4 36.8 MB
11. K Means Clustering Algorithm/1. K Means Clustering Algorithm Theory.mp4 35.5 MB
4. Linear Regression Algorithm/4. Linear Regression Algorithm Project Overview.mp4 33.0 MB
13. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Theory.mp4 27.2 MB
1. Intro to Machine Learning with Python/1. What is Machine Learning.mp4 26.9 MB
9. Support Vector Machine Algorithm/3. Support Vector Machines Algorithm Project Overview.mp4 26.9 MB
12. Hierarchical Clustering Algorithm/1. Hierarchical Clustering Algorithm Theory.mp4 26.7 MB
10. Unsupervised Learning/1. Unsupervised Learning Overview.mp4 25.4 MB
2. Evalution Metrics/1. Classification vs Regression.mp4 20.3 MB
6. Logistic Regression Algorithm/5. Logistic Regression Algorithm Project Overview.mp4 19.4 MB
7. K Nearest Neighbors Algorithm/3. K Nearest Neighbors Algorithm Project Overview.mp4 17.4 MB
1. Intro to Machine Learning with Python/2. Machine Learning Terminology.mp4 16.3 MB
7. K Nearest Neighbors Algorithm/2. K Nearest Neighbors Algorithm With Python.srt 28.3 KB
4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.srt 26.9 KB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.srt 25.9 KB
6. Logistic Regression Algorithm/3. Logistic Regression Algorithm With Python Part 2.srt 24.9 KB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.srt 24.7 KB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.srt 23.3 KB
6. Logistic Regression Algorithm/2. Logistic Regression Algorithm With Python Part 1.srt 22.9 KB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.srt 22.8 KB
7. K Nearest Neighbors Algorithm/4. K Nearest Neighbors Algorithm Project Solutions.srt 19.8 KB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.srt 19.2 KB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.srt 18.8 KB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.srt 17.9 KB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.srt 17.9 KB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.srt 17.6 KB
6. Logistic Regression Algorithm/1. Logistic Regression Algorithm Theory.srt 15.9 KB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.srt 15.6 KB
6. Logistic Regression Algorithm/6. Logistic Regression Algorithm Project Solutions.srt 15.1 KB
2. Evalution Metrics/4. Machine Learning With Python.srt 15.0 KB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.srt 14.1 KB
3. Supervised Learning/1. Supervised Learning Overview.srt 14.0 KB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.srt 12.9 KB
6. Logistic Regression Algorithm/4. Logistic Regression Algorithm With Python Part 3.srt 11.1 KB
12. Hierarchical Clustering Algorithm/2. Hierarchical Clustering Algorithm With Python.srt 11.0 KB
8. Decision Trees And Random Forest Algorithm/1. Decision Trees And Random Forest Algorithm Theory.srt 10.0 KB
4. Linear Regression Algorithm/3. Linear Regression Algorithm With Python Part 2.srt 10.0 KB
5. Bias Variance Trade-Off/1. Bias Variance Trade-Off.srt 9.4 KB
2. Evalution Metrics/3. Evaluating Performance Regression Error Metrics.srt 9.4 KB
7. K Nearest Neighbors Algorithm/1. K Nearest Neighbors Algorithm Theory.srt 7.7 KB
4. Linear Regression Algorithm/1. Linear Regression Algorithm Theory.srt 7.2 KB
11. K Means Clustering Algorithm/1. K Means Clustering Algorithm Theory.srt 7.1 KB
9. Support Vector Machine Algorithm/1. Support Vector Machines Algorithm Theory.srt 6.9 KB
14. Recommender System Algorithm/1. Recommender System Algorithm Theory.srt 6.8 KB
8. Decision Trees And Random Forest Algorithm/3. Decision Trees And Random Forest Algorithm Project Overview.srt 6.2 KB
11. K Means Clustering Algorithm/3. K Means Clustering Algorithm Project Overview.srt 5.2 KB
12. Hierarchical Clustering Algorithm/1. Hierarchical Clustering Algorithm Theory.srt 5.1 KB
1. Intro to Machine Learning with Python/1. What is Machine Learning.srt 4.8 KB
13. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Theory.srt 4.7 KB
2. Evalution Metrics/1. Classification vs Regression.srt 4.2 KB
4. Linear Regression Algorithm/4. Linear Regression Algorithm Project Overview.srt 4.1 KB
10. Unsupervised Learning/1. Unsupervised Learning Overview.srt 3.8 KB
9. Support Vector Machine Algorithm/3. Support Vector Machines Algorithm Project Overview.srt 3.4 KB
1. Intro to Machine Learning with Python/2. Machine Learning Terminology.srt 3.0 KB
6. Logistic Regression Algorithm/5. Logistic Regression Algorithm Project Overview.srt 2.8 KB
7. K Nearest Neighbors Algorithm/3. K Nearest Neighbors Algorithm Project Overview.srt 2.4 KB

[Udemy] Complete Machine Learning & Data Science with Python A-Z (05.2021)

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