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1 |
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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 |
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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 |
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11.1 Data_Set.csv |
580B |
11. Chapter 6 Quiz.html |
160B |
11. Chapter 7 Quiz.html |
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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 |
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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 |
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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 |
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14. Chapter 5 Quiz.html |
160B |
14. Visualization with Matplotlib3.mp4 |
188.84MB |
14. Visualization with Matplotlib3.srt |
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15. Visualization with Matplotlib4.mp4 |
142.99MB |
15. Visualization with Matplotlib4.srt |
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16. Visualization with Matplotlib5.mp4 |
129.25MB |
16. Visualization with Matplotlib5.srt |
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17. Chapter 2 Quiz.html |
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2. Chapter 4 Quiz.html |
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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 |
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2. Multiple Linear Regression - Model Development.mp4 |
75.59MB |
2. Multiple Linear Regression - Model Development.srt |
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2. NumPy1.mp4 |
37.49MB |
2. NumPy1.srt |
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2. Statistics1.mp4 |
34.04MB |
2. Statistics1.srt |
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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 |
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3. Evaluation Metrics - Concepts.mp4 |
49.47MB |
3. Evaluation Metrics - Concepts.srt |
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3. K-means Concepts2.mp4 |
21.28MB |
3. K-means Concepts2.srt |
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3. K-Means - Model Tuning.mp4 |
15.30MB |
3. K-Means - Model Tuning.srt |
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3. k-NN Model Development.mp4 |
140.65MB |
3. k-NN Model Development.srt |
16.51KB |
3. NumPy2.mp4 |
56.91MB |
3. NumPy2.srt |
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3. Python Installation.html |
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3. Statistics2.mp4 |
207.49MB |
3. Statistics2.srt |
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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 |
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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 |
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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 |
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5. Decision Tree Concepts.mp4 |
25.62MB |
5. Decision Tree Concepts.srt |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |