Learn Data Mining and Machine Learning With Python | CF8645DA26A2DC6174C2D51CC4491E8EC8A1F48F

Learn Data Mining and Machine Learning With Python

Name	Learn Data Mining and Machine Learning With Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.2 GB
Total Files	192
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Hash	CF8645DA26A2DC6174C2D51CC4491E8EC8A1F48F

/.../3. Supervised Learning Algorithms/
24. Create Multiple Linear Regression Model in Python-Part 1.mp4	181.0 MB
1. Introduction to Supervised Learning Algorithms.mp4	6.6 MB
1. Introduction to Supervised Learning Algorithms.srt	1.4 KB
2. Types of Variables.mp4	10.8 MB
2. Types of Variables.srt	2.7 KB
3. Data Types.html	0.2 KB
4. Introduction to Regression Model.mp4	22.3 MB
4. Introduction to Regression Model.srt	5.0 KB
5. Regression Model.html	0.2 KB
6. Regression Model Slope.mp4	32.7 MB
6. Regression Model Slope.srt	7.5 KB
7. Regression Slope.html	0.2 KB
8. The Intercept Value.html	0.2 KB
9. R-Squared.mp4	30.5 MB
9. R-Squared.srt	8.4 KB
10. P-Value.mp4	18.3 MB
10. P-Value.srt	4.3 KB
11. Simple Linear Regression.mp4	3.9 MB
11. Simple Linear Regression.srt	1.0 KB
12. Concepts used in Machine Learning (Important).html	0.2 KB
13. Overview on the dataset.mp4	8.3 MB
13. Overview on the dataset.srt	1.6 KB
13.1 Study_Hours.csv	0.3 KB
14. Create Simple Linear Regression Model in Python-Part 1.mp4	32.4 MB
14. Create Simple Linear Regression Model in Python-Part 1.srt	5.6 KB
14.1 SLR.py	1.3 KB
15. Create Simple Linear Regression Model in Python-Part 2.mp4	135.5 MB
15. Create Simple Linear Regression Model in Python-Part 2.srt	13.5 KB
16. Create Simple Linear Regression Model in Python-Part 3.mp4	69.4 MB
16. Create Simple Linear Regression Model in Python-Part 3.srt	6.5 KB
17. Create Simple Linear Regression Model in Python-Part 4.mp4	73.7 MB
17. Create Simple Linear Regression Model in Python-Part 4.srt	7.1 KB
18. Multiple Linear Regression.mp4	14.9 MB
18. Multiple Linear Regression.srt	3.0 KB
19. Dummy Variables.mp4	38.1 MB
19. Dummy Variables.srt	5.9 KB
20. Dummy Variables Trap.html	0.6 KB
21. Step-wise Approach.mp4	30.2 MB
21. Step-wise Approach.srt	7.1 KB
22. Assumptions of Multiple Linear Regression.mp4	32.8 MB
22. Assumptions of Multiple Linear Regression.srt	9.6 KB
23. Overview on the business problem data.mp4	9.2 MB
23. Overview on the business problem data.srt	1.5 KB
23.1 Companies spends and profits.csv	3.3 KB
24. Create Multiple Linear Regression Model in Python-Part 1.srt	17.4 KB
24.1 MLR.py	2.2 KB
25. Create Multiple Linear Regression Model in Python-Part 2.mp4	148.1 MB
25. Create Multiple Linear Regression Model in Python-Part 2.srt	13.2 KB
26. Create Multiple Linear Regression Model in Python-Part 3.mp4	144.8 MB
26. Create Multiple Linear Regression Model in Python-Part 3.srt	11.9 KB
27. Create Multiple Linear Regression Model in Python-Part 4.mp4	86.3 MB
27. Create Multiple Linear Regression Model in Python-Part 4.srt	8.2 KB
28. Polynomial Regression.mp4	11.2 MB
28. Polynomial Regression.srt	2.3 KB
29. Overview on the business problem data.mp4	7.5 MB
29. Overview on the business problem data.srt	1.3 KB
29.1 Reward_system.csv	0.2 KB
30. Create Polynomial Regression Model in Python-Part 1.mp4	83.2 MB
30. Create Polynomial Regression Model in Python-Part 1.srt	9.9 KB
30.1 PR.py	1.8 KB
31. Create Polynomial Regression Model in Python-Part 2.mp4	130.5 MB
31. Create Polynomial Regression Model in Python-Part 2.srt	13.8 KB
32. Course Rating.html	0.5 KB
33. Introduction to Classification.mp4	20.8 MB
33. Introduction to Classification.srt	4.8 KB
34. Introduction to Logistic Regression.mp4	30.5 MB
34. Introduction to Logistic Regression.srt	9.1 KB
35. Confusion Matrix.mp4	16.3 MB
35. Confusion Matrix.srt	4.6 KB
36. Standard Scaler.mp4	12.8 MB
36. Standard Scaler.srt	3.4 KB
37. Overview on the business problem data.mp4	10.8 MB
37. Overview on the business problem data.srt	1.9 KB
37.1 Bank_Data.csv	17.7 KB
38. Create Logistic Regression Model in Python-Part 1.mp4	117.4 MB
38. Create Logistic Regression Model in Python-Part 1.srt	13.2 KB
38.1 LR.py	1.1 KB
39. Create Logistic Regression Model in Python-Part 2.mp4	62.5 MB
39. Create Logistic Regression Model in Python-Part 2.srt	7.0 KB
40. KNN Classification Algorithm.mp4	16.1 MB
40. KNN Classification Algorithm.srt	4.6 KB
41. Create KNN Model in Python.mp4	68.4 MB
41. Create KNN Model in Python.srt	8.4 KB
41.1 K-NN.py	1.3 KB
41.2 Bank_Data.csv	17.7 KB
42. Support Vector Machine (SVM) Classification Algorithm.mp4	18.7 MB
42. Support Vector Machine (SVM) Classification Algorithm.srt	4.1 KB
43. Create Support Vector Machine in Python.mp4	55.7 MB
43. Create Support Vector Machine in Python.srt	7.9 KB
43.1 SVM.py	1.2 KB
44. Naive Bayes Algorithm Part 1.mp4	20.8 MB
44. Naive Bayes Algorithm Part 1.srt	5.3 KB
45. Naive Bayes Algorithm Part 2.mp4	29.3 MB
45. Naive Bayes Algorithm Part 2.srt	7.1 KB
46. Create Naive Bayes Model in Python.mp4	30.3 MB
46. Create Naive Bayes Model in Python.srt	3.9 KB
46.1 Naive_Bayes.py	1.1 KB
47. Decision Tree Algorithm.mp4	36.1 MB
47. Decision Tree Algorithm.srt	8.1 KB
48. Create Decision Tree Model in Python.mp4	35.3 MB
48. Create Decision Tree Model in Python.srt	3.6 KB
48.1 Bank_Data.csv	17.7 KB
48.2 Decision Tree.py	1.2 KB
49. Random Forest Algorithm.mp4	6.4 MB
49. Random Forest Algorithm.srt	1.4 KB
50. Create Random Forest Model in Python.mp4	72.7 MB
50. Create Random Forest Model in Python.srt	6.6 KB
50.1 Random_Forest.py	1.2 KB
51. Course Rating.html	0.5 KB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/1. Introduction/
1. Introduction to Course.mp4	12.6 MB
1. Introduction to Course.srt	2.5 KB
2. Course Contents.mp4	10.6 MB
2. Course Contents.srt	1.7 KB
3. Introduction to Data Mining.mp4	44.9 MB
3. Introduction to Data Mining.srt	11.1 KB
4. Data Mining Definition.html	0.2 KB
5. Introduction to Machine Learning.mp4	15.0 MB
5. Introduction to Machine Learning.srt	3.1 KB
6. Machine Leaning Sub-fields..html	0.2 KB
7. How Does Machine Learning Work.mp4	20.4 MB
7. How Does Machine Learning Work.srt	4.6 KB
8. Train and Test Sets..html	0.2 KB
9. Machine Learning Algorithms Types.mp4	42.8 MB
9. Machine Learning Algorithms Types.srt	8.4 KB
10. Machine Leaning Types.html	0.2 KB
11. Course Rating.html	0.5 KB
/.../2. Setup Programming Environment/
1. Install Anaconda package.mp4	50.4 MB
1. Install Anaconda package.srt	7.5 KB
/.../4. Unsupervised Learning Algorithms/
1. Review Unsupervised Learning Algorithms.mp4	8.9 MB
1. Review Unsupervised Learning Algorithms.srt	1.9 KB
2. Hierarchical Clustering Algorithm.mp4	10.3 MB
2. Hierarchical Clustering Algorithm.srt	4.2 KB
3. Dendrogram Diagram Method.mp4	30.0 MB
3. Dendrogram Diagram Method.srt	7.0 KB
4. Overview on the business problem data.mp4	4.4 MB
4. Overview on the business problem data.srt	0.8 KB
5. Create Hierarchical Clustering Algorithm in Python-1.mp4	134.5 MB
5. Create Hierarchical Clustering Algorithm in Python-1.srt	14.0 KB
5.1 Hierarchical Clustering.py	1.2 KB
5.2 Movies.csv	1.7 KB
6. Create Hierarchical Clustering Algorithm in Python-2.mp4	75.6 MB
6. Create Hierarchical Clustering Algorithm in Python-2.srt	7.5 KB
7. K-means Clustering Algorithm.mp4	17.0 MB
7. K-means Clustering Algorithm.srt	4.1 KB
8. Using Elbow Method to Determine Optimal Number of Clusters.mp4	51.2 MB
8. Using Elbow Method to Determine Optimal Number of Clusters.srt	11.6 KB
9. Create K-means Clustering Algorithm Model in Python - 1.mp4	82.4 MB
9. Create K-means Clustering Algorithm Model in Python - 1.srt	8.9 KB
9.1 kmeans.py	1.2 KB
9.2 Movies.csv	1.7 KB
10. Create K-means Clustering Algorithm Model in Python - 2.mp4	34.6 MB
10. Create K-means Clustering Algorithm Model in Python - 2.srt	3.8 KB
11. Association Rules (Market Basket Analysis).mp4	54.8 MB
11. Association Rules (Market Basket Analysis).srt	11.8 KB
12. Overview on the business problem data.mp4	14.1 MB
12. Overview on the business problem data.srt	2.0 KB
12.1 GroceryStoreDataSet.csv	0.5 KB
13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4	72.8 MB
13. Create Association Rules (Market Basket Analysis) Model in Python - 1.srt	10.5 KB
13.1 apyori.py	14.6 KB
13.2 AR.py	0.6 KB
14. Create Association Rules (Market Basket Analysis) Model in Python - 2.mp4	34.9 MB
14. Create Association Rules (Market Basket Analysis) Model in Python - 2.srt	5.2 KB
15. Create Association Rules (Market Basket Analysis) Model in Python - 3.mp4	30.0 MB
15. Create Association Rules (Market Basket Analysis) Model in Python - 3.srt	2.8 KB
/5. Deep Learning/
1. Introduction to Deep Learning.mp4	38.7 MB
1. Introduction to Deep Learning.srt	7.1 KB
2. Use Deep Learning in Classification.mp4	14.8 MB
2. Use Deep Learning in Classification.srt	2.8 KB
3. How Does Deep Learning Work.mp4	28.9 MB
3. How Does Deep Learning Work.srt	5.8 KB
4. Activation Functions.mp4	36.5 MB
4. Activation Functions.srt	7.5 KB
5. What is Tensorflow.mp4	7.3 MB
5. What is Tensorflow.srt	2.6 KB
6. Introduction to the Deep Learning Problem and Dataset.mp4	9.4 MB
6. Introduction to the Deep Learning Problem and Dataset.srt	1.2 KB
7. Create Artificial Neural Network Model in Python Part-1.mp4	68.1 MB
7. Create Artificial Neural Network Model in Python Part-1.srt	7.1 KB
7.1 M_ANN.py	1.5 KB
7.2 Medical_data.csv	24.0 KB
8. Create Artificial Neural Network Model in Python Part-2.mp4	72.3 MB
8. Create Artificial Neural Network Model in Python Part-2.srt	10.1 KB
9. Create Artificial Neural Network Model in Python Part-3.mp4	68.8 MB
9. Create Artificial Neural Network Model in Python Part-3.srt	6.6 KB
9.1 Link to the Keras documentation website..html	0.1 KB
10. The Newer Version of Keras Python code to Create the Model and Add the Layers.html	1.3 KB
11. Create Artificial Neural Network Model in Python Part-4.mp4	23.1 MB
11. Create Artificial Neural Network Model in Python Part-4.srt	2.4 KB
12. Course Rating.html	0.5 KB
Total files 192