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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
223B |
| 1 |
64.08KB |
| 1.1 Data_Set.csv |
580B |
| 1.1 Python Source Codes.zip |
7.46KB |
| 1. Course Content.mp4 |
17.07MB |
| 1. Course Content.srt |
6.43KB |
| 1. Introduction.mp4 |
38.11MB |
| 1. Introduction.mp4 |
17.03MB |
| 1. Introduction.srt |
8.33KB |
| 1. Introduction.srt |
4.69KB |
| 1. Learning Types.mp4 |
45.44MB |
| 1. Learning Types.srt |
8.92KB |
| 1. Python Source Codes.html |
368B |
| 1. Reading and Modifying a Dataset.mp4 |
154.55MB |
| 1. Reading and Modifying a Dataset.srt |
22.19KB |
| 1. Simple and Multiple Linear Regression Concepts.mp4 |
212.19MB |
| 1. Simple and Multiple Linear Regression Concepts.srt |
31.21KB |
| 1. Supervised Learning Models - Introduction and Understanding the Data.mp4 |
233.75MB |
| 1. Supervised Learning Models - Introduction and Understanding the Data.srt |
33.14KB |
| 10 |
131.15KB |
| 10.1 Data_New.csv |
201B |
| 10. Concatenation.mp4 |
65.88MB |
| 10. Concatenation.srt |
8.05KB |
| 10. Hierarchical Clustering Model Development.mp4 |
145.89MB |
| 10. Hierarchical Clustering Model Development.srt |
17.64KB |
| 10. Logistic Regression Concepts.mp4 |
10.85MB |
| 10. Logistic Regression Concepts.srt |
3.45KB |
| 10. Pandas3.mp4 |
117.83MB |
| 10. Pandas3.srt |
16.64KB |
| 10. Support Vector Regression Model Development.mp4 |
121.01MB |
| 10. Support Vector Regression Model Development.srt |
11.43KB |
| 11 |
985.44KB |
| 11.1 Data_Set.csv |
580B |
| 11. Chapter 6 Quiz.html |
160B |
| 11. Chapter 7 Quiz.html |
160B |
| 11. Dummy Variable.mp4 |
57.59MB |
| 11. Dummy Variable.srt |
7.90KB |
| 11. Logistic Regression Model Development.mp4 |
112.12MB |
| 11. Logistic Regression Model Development.srt |
11.95KB |
| 11. Pandas4.mp4 |
203.04MB |
| 11. Pandas4.srt |
26.69KB |
| 12 |
104.56KB |
| 12. Model Evaluation Concepts.mp4 |
83.47MB |
| 12. Model Evaluation Concepts.srt |
19.29KB |
| 12. Normalization.mp4 |
186.87MB |
| 12. Normalization.srt |
21.92KB |
| 12. Visualization with Matplotlib1.mp4 |
99.45MB |
| 12. Visualization with Matplotlib1.srt |
16.05KB |
| 13 |
456.95KB |
| 13. Chapter3 Quiz.html |
160B |
| 13. Model Evaluation - Calculating with Python.mp4 |
174.04MB |
| 13. Model Evaluation - Calculating with Python.srt |
19.93KB |
| 13. Visualization with Matplotlib2.mp4 |
205.24MB |
| 13. Visualization with Matplotlib2.srt |
25.65KB |
| 14 |
369.49KB |
| 14. Chapter 5 Quiz.html |
160B |
| 14. Visualization with Matplotlib3.mp4 |
188.84MB |
| 14. Visualization with Matplotlib3.srt |
19.60KB |
| 15 |
117.64KB |
| 15. Visualization with Matplotlib4.mp4 |
142.99MB |
| 15. Visualization with Matplotlib4.srt |
17.28KB |
| 16 |
14.96KB |
| 16. Visualization with Matplotlib5.mp4 |
129.25MB |
| 16. Visualization with Matplotlib5.srt |
14.44KB |
| 17 |
354.56KB |
| 17. Chapter 2 Quiz.html |
160B |
| 18 |
514.20KB |
| 19 |
372.05KB |
| 2 |
597.38KB |
| 2. Chapter 4 Quiz.html |
160B |
| 2. K-means Concepts1.mp4 |
44.53MB |
| 2. K-means Concepts1.srt |
11.27KB |
| 2. k-NN Concepts.mp4 |
48.03MB |
| 2. k-NN Concepts.srt |
11.54KB |
| 2. Multiple Linear Regression - Model Development.mp4 |
75.59MB |
| 2. Multiple Linear Regression - Model Development.srt |
8.72KB |
| 2. NumPy1.mp4 |
37.49MB |
| 2. NumPy1.srt |
8.21KB |
| 2. Statistics1.mp4 |
34.04MB |
| 2. Statistics1.srt |
10.14KB |
| 2. Support Vector Regression - Model Tuning.mp4 |
125.61MB |
| 2. Support Vector Regression - Model Tuning.srt |
13.57KB |
| 2. What is Machine Learning Some Basic Terms.mp4 |
25.82MB |
| 2. What is Machine Learning Some Basic Terms.srt |
7.11KB |
| 20 |
335.04KB |
| 21 |
364.95KB |
| 22 |
771.31KB |
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395.45KB |
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1017.13KB |
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176.89KB |
| 26 |
60.81KB |
| 27 |
896.22KB |
| 28 |
532.84KB |
| 29 |
175.81KB |
| 3 |
639.27KB |
| 3. Evaluation Metrics - Concepts.mp4 |
49.47MB |
| 3. Evaluation Metrics - Concepts.srt |
12.64KB |
| 3. K-means Concepts2.mp4 |
21.28MB |
| 3. K-means Concepts2.srt |
7.15KB |
| 3. K-Means - Model Tuning.mp4 |
15.30MB |
| 3. K-Means - Model Tuning.srt |
2.57KB |
| 3. k-NN Model Development.mp4 |
140.65MB |
| 3. k-NN Model Development.srt |
16.51KB |
| 3. NumPy2.mp4 |
56.91MB |
| 3. NumPy2.srt |
9.70KB |
| 3. Python Installation.html |
612B |
| 3. Statistics2.mp4 |
207.49MB |
| 3. Statistics2.srt |
21.92KB |
| 30 |
612.61KB |
| 31 |
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| 32 |
402.17KB |
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136.11KB |
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493.06KB |
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543.39KB |
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423.61KB |
| 37 |
823.73KB |
| 38 |
936.88KB |
| 39 |
226.93KB |
| 4 |
829.67KB |
| 4. Evaluation Metrics - Implementation.mp4 |
159.90MB |
| 4. Evaluation Metrics - Implementation.srt |
18.25KB |
| 4. K-means Model Development1.mp4 |
35.98MB |
| 4. K-means Model Development1.srt |
5.20KB |
| 4. k-NN - Model Tuning.mp4 |
133.64MB |
| 4. k-NN - Model Tuning.srt |
13.05KB |
| 4. k-NN Training-Set and Test-Set Creation.mp4 |
228.42MB |
| 4. k-NN Training-Set and Test-Set Creation.srt |
27.76KB |
| 4. NumPy3.mp4 |
84.52MB |
| 4. NumPy3.srt |
13.58KB |
| 4. Python IDE.mp4 |
7.51MB |
| 4. Python IDE.srt |
2.75KB |
| 4. Statistics3 - Covariance.mp4 |
107.48MB |
| 4. Statistics3 - Covariance.srt |
15.72KB |
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118.17KB |
| 42 |
792.39KB |
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54.35KB |
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421.34KB |
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95.78KB |
| 46 |
454.46KB |
| 47 |
371.17KB |
| 48 |
542.38KB |
| 49 |
992.18KB |
| 5 |
523.76KB |
| 5. Decision Tree Concepts.mp4 |
25.62MB |
| 5. Decision Tree Concepts.srt |
7.59KB |
| 5. IDE Installation.mp4 |
22.28MB |
| 5. IDE Installation.srt |
3.25KB |
| 5. K-means Model Development2.mp4 |
103.83MB |
| 5. K-means Model Development2.srt |
13.80KB |
| 5. Missing Values1.mp4 |
129.64MB |
| 5. Missing Values1.srt |
14.43KB |
| 5. NumPy4.mp4 |
56.56MB |
| 5. NumPy4.srt |
7.69KB |
| 5. Overfitting and Underfitting.mp4 |
72.09MB |
| 5. Overfitting and Underfitting.srt |
11.20KB |
| 5. Polynomial Linear Regression Concepts.mp4 |
26.39MB |
| 5. Polynomial Linear Regression Concepts.srt |
6.67KB |
| 50 |
659.67KB |
| 51 |
572.71KB |
| 52 |
480.89KB |
| 53 |
911.41KB |
| 54 |
525.12KB |
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23.54KB |
| 56 |
983.26KB |
| 57 |
1011.74KB |
| 58 |
787.03KB |
| 59 |
34.76KB |
| 6 |
47.10KB |
| 6. Decision Tree Model Development.mp4 |
66.84MB |
| 6. Decision Tree Model Development.srt |
7.03KB |
| 6. Installation of Required Libraries.mp4 |
70.78MB |
| 6. Installation of Required Libraries.srt |
8.57KB |
| 6. K-means - Model Evaluation.mp4 |
102.40MB |
| 6. K-means - Model Evaluation.srt |
11.55KB |
| 6. Missing Values2.mp4 |
219.38MB |
| 6. Missing Values2.srt |
22.39KB |
| 6. NumPy5.mp4 |
152.64MB |
| 6. NumPy5.srt |
19.13KB |
| 6. Polynomial Linear Regression Model Development.mp4 |
206.95MB |
| 6. Polynomial Linear Regression Model Development.srt |
20.75KB |
| 60 |
153.80KB |
| 61 |
623.59KB |
| 62 |
187.14KB |
| 63 |
385.19KB |
| 64 |
727.56KB |
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742.36KB |
| 66 |
740.95KB |
| 67 |
952.60KB |
| 68 |
989.22KB |
| 69 |
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| 7 |
780.14KB |
| 7. DBSCAN Concepts.mp4 |
26.85MB |
| 7. DBSCAN Concepts.srt |
6.28KB |
| 7. Decision Tree - Cross Validation.mp4 |
54.64MB |
| 7. Decision Tree - Cross Validation.srt |
9.69KB |
| 7. NumPy6.mp4 |
134.50MB |
| 7. NumPy6.srt |
18.48KB |
| 7. Outlier Detection1.mp4 |
73.20MB |
| 7. Outlier Detection1.srt |
13.32KB |
| 7. Random Forest Concepts.mp4 |
30.23MB |
| 7. Random Forest Concepts.srt |
7.43KB |
| 7. Spyder Interface.mp4 |
46.36MB |
| 7. Spyder Interface.srt |
8.94KB |
| 70 |
150.04KB |
| 8 |
984.79KB |
| 8. DBSCAN Model Development.mp4 |
86.87MB |
| 8. DBSCAN Model Development.srt |
10.41KB |
| 8. Naive Bayes Concepts.mp4 |
59.23MB |
| 8. Naive Bayes Concepts.srt |
16.27KB |
| 8. Outlier Detection2.mp4 |
130.67MB |
| 8. Outlier Detection2.srt |
15.18KB |
| 8. Pandas1.mp4 |
95.61MB |
| 8. Pandas1.srt |
17.33KB |
| 8. Random Forest Model Development.mp4 |
246.24MB |
| 8. Random Forest Model Development.srt |
24.62KB |
| 9 |
158.77KB |
| 9. Hierarchical Clustering Concepts.mp4 |
24.29MB |
| 9. Hierarchical Clustering Concepts.srt |
6.53KB |
| 9. Naive Bayes Model Development.mp4 |
58.95MB |
| 9. Naive Bayes Model Development.srt |
6.84KB |
| 9. Outlier Detection3.mp4 |
31.01MB |
| 9. Outlier Detection3.srt |
3.55KB |
| 9. Pandas2.mp4 |
116.94MB |
| 9. Pandas2.srt |
17.33KB |
| 9. Support Vector Regression Concepts.mp4 |
26.97MB |
| 9. Support Vector Regression Concepts.srt |
7.50KB |
| TutsNode.com.txt |
63B |