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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
202B |
| 1 |
5.07KB |
| 1.1 Car Price Prediction.pptx |
456.16KB |
| 1.1 Customer Segmentation using K-means Clustering.pptx |
521.41KB |
| 1.1 Introduction and key learning outcomes.pptx |
372.51KB |
| 1.1 Introduction to ChatGPT.pptx |
1.25MB |
| 1.1 Machine Learning Introduction.pptx |
506.69KB |
| 1.1 Wine Quality Prediction.pptx |
480.46KB |
| 1. Introduction and Key Learning Outcomes.mp4 |
13.46MB |
| 1. Introduction to ChatGPT.mp4 |
27.45MB |
| 1. Introduction to Machine Learning.mp4 |
36.66MB |
| 1. Introduction to Matplotlib.mp4 |
29.50MB |
| 1. Understanding the Problem Statement.mp4 |
14.28MB |
| 1. Understanding the Problem Statement.mp4 |
13.79MB |
| 1. Understanding the Problem Statement.mp4 |
9.11MB |
| 10 |
126.85KB |
| 10.1 Support Vector Machine (SVM).pptx |
554.79KB |
| 10.2 User_Data.csv |
10.67KB |
| 10. SVM.mp4 |
63.74MB |
| 11 |
278.96KB |
| 11.1 Decision Tree Algorithm.pptx |
463.37KB |
| 11.2 User_Data.csv |
10.67KB |
| 11. Decision Tree.mp4 |
73.76MB |
| 12 |
135.53KB |
| 12.1 Random Forest Algorithm.pptx |
400.85KB |
| 12.2 User_Data.csv |
10.67KB |
| 12. Random Forest.mp4 |
48.37MB |
| 13 |
342.18KB |
| 13.1 K-Means Clustering Algorithm.pptx |
588.47KB |
| 13.2 Mall_Customers.csv |
4.67KB |
| 13. K - Means Clustering.mp4 |
66.06MB |
| 14 |
36.43KB |
| 14.1 GridSearchCV.pptx |
487.17KB |
| 14. GridSearch CV.mp4 |
74.02MB |
| 15 |
239.86KB |
| 15. Machine Learning Model Evaluation Metrics.mp4 |
45.07MB |
| 16 |
350.16KB |
| 17 |
4.21KB |
| 18 |
55.35KB |
| 19 |
115.01KB |
| 2 |
6.76KB |
| 2.1 car data.csv |
16.81KB |
| 2.1 Customer Segmentation.ipynb |
60.30KB |
| 2.1 Supervised Machine Learning.pptx |
364.86KB |
| 2.1 Wine Quality Prediction.ipynb |
90.30KB |
| 2.2 Car Price Prediction.ipynb |
41.92KB |
| 2.2 Mall_Customers.csv |
3.89KB |
| 2.2 winequality-red.csv |
98.58KB |
| 2. Coding Implementation.mp4 |
137.41MB |
| 2. Coding Implementation.mp4 |
116.57MB |
| 2. Coding Implementation.mp4 |
93.43MB |
| 2. Different type of plots in Matplotlib.mp4 |
47.17MB |
| 2. Introduction to ChatGPT Practical.mp4 |
18.14MB |
| 2. Supervised Machine Learning.mp4 |
27.39MB |
| 20 |
49.42KB |
| 21 |
4.25KB |
| 22 |
45.29KB |
| 23 |
220.63KB |
| 24 |
215.72KB |
| 25 |
40.15KB |
| 26 |
44.07KB |
| 27 |
260.81KB |
| 28 |
435.53KB |
| 29 |
469.21KB |
| 3 |
6.47KB |
| 3.1 Unsupervised Machine Learning.pptx |
400.21KB |
| 3. Seaborn.mp4 |
63.93MB |
| 3. Unsupervised Machine Learning.mp4 |
22.56MB |
| 30 |
19.61KB |
| 31 |
502.59KB |
| 32 |
17.03KB |
| 4 |
65.74KB |
| 4. Machine Learning Life Cycle.mp4 |
36.77MB |
| 5 |
6.57KB |
| 5.1 Train Test Split.pptx |
443.04KB |
| 5. Train Test Split.mp4 |
14.59MB |
| 6 |
249.37KB |
| 6.1 Regression Analysis.pptx |
541.02KB |
| 6. Regression Analysis.mp4 |
55.38MB |
| 7 |
6.40KB |
| 7.1 Linear Regression.pptx |
360.12KB |
| 7.2 Salary_Data.csv |
454B |
| 7. Linear Regression.mp4 |
52.23MB |
| 8 |
68.73KB |
| 8.1 Logistic Regression.pptx |
405.18KB |
| 8.2 User_Data.csv |
10.67KB |
| 8. Logistic Regression.mp4 |
74.76MB |
| 9 |
264.38KB |
| 9.1 K Nearest Neighbors(KNN).pptx |
519.80KB |
| 9.2 User_Data.csv |
10.67KB |
| 9. KNN.mp4 |
79.05MB |
| TutsNode.net.txt |
63B |