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Learn Data Mining and Machine Learning With Python
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[TutsNode.com] - Learn Data Mining and Machine Learning With Python (Size: 3.02 GB) (Files: 192)
[TutsNode.com] - Learn Data Mining and Machine Learning With Python
3. Supervised Learning Algorithms
24. Create Multiple Linear Regression Model in Python-Part 1.mp4
1. Introduction to Supervised Learning Algorithms.mp4
1. Introduction to Supervised Learning Algorithms.srt
2. Types of Variables.mp4
2. Types of Variables.srt
3. Data Types.html
4. Introduction to Regression Model.mp4
4. Introduction to Regression Model.srt
5. Regression Model.html
6. Regression Model Slope.mp4
6. Regression Model Slope.srt
7. Regression Slope.html
8. The Intercept Value.html
9. R-Squared.mp4
9. R-Squared.srt
10. P-Value.mp4
10. P-Value.srt
11. Simple Linear Regression.mp4
11. Simple Linear Regression.srt
12. Concepts used in Machine Learning (Important).html
13. Overview on the dataset.mp4
13. Overview on the dataset.srt
13.1 Study_Hours.csv
14. Create Simple Linear Regression Model in Python-Part 1.mp4
14. Create Simple Linear Regression Model in Python-Part 1.srt
14.1 SLR.py
15. Create Simple Linear Regression Model in Python-Part 2.mp4
15. Create Simple Linear Regression Model in Python-Part 2.srt
16. Create Simple Linear Regression Model in Python-Part 3.mp4
16. Create Simple Linear Regression Model in Python-Part 3.srt
17. Create Simple Linear Regression Model in Python-Part 4.mp4
17. Create Simple Linear Regression Model in Python-Part 4.srt
18. Multiple Linear Regression.mp4
18. Multiple Linear Regression.srt
19. Dummy Variables.mp4
19. Dummy Variables.srt
20. Dummy Variables Trap.html
21. Step-wise Approach.mp4
21. Step-wise Approach.srt
22. Assumptions of Multiple Linear Regression.mp4
22. Assumptions of Multiple Linear Regression.srt
23. Overview on the business problem data.mp4
23. Overview on the business problem data.srt
23.1 Companies spends and profits.csv
24. Create Multiple Linear Regression Model in Python-Part 1.srt
24.1 MLR.py
25. Create Multiple Linear Regression Model in Python-Part 2.mp4
25. Create Multiple Linear Regression Model in Python-Part 2.srt
26. Create Multiple Linear Regression Model in Python-Part 3.mp4
26. Create Multiple Linear Regression Model in Python-Part 3.srt
27. Create Multiple Linear Regression Model in Python-Part 4.mp4
27. Create Multiple Linear Regression Model in Python-Part 4.srt
28. Polynomial Regression.mp4
28. Polynomial Regression.srt
29. Overview on the business problem data.mp4
29. Overview on the business problem data.srt
29.1 Reward_system.csv
30. Create Polynomial Regression Model in Python-Part 1.mp4
30. Create Polynomial Regression Model in Python-Part 1.srt
30.1 PR.py
31. Create Polynomial Regression Model in Python-Part 2.mp4
31. Create Polynomial Regression Model in Python-Part 2.srt
32. Course Rating.html
33. Introduction to Classification.mp4
33. Introduction to Classification.srt
34. Introduction to Logistic Regression.mp4
34. Introduction to Logistic Regression.srt
35. Confusion Matrix.mp4
35. Confusion Matrix.srt
36. Standard Scaler.mp4
36. Standard Scaler.srt
37. Overview on the business problem data.mp4
37. Overview on the business problem data.srt
37.1 Bank_Data.csv
38. Create Logistic Regression Model in Python-Part 1.mp4
38. Create Logistic Regression Model in Python-Part 1.srt
38.1 LR.py
39. Create Logistic Regression Model in Python-Part 2.mp4
39. Create Logistic Regression Model in Python-Part 2.srt
40. KNN Classification Algorithm.mp4
40. KNN Classification Algorithm.srt
41. Create KNN Model in Python.mp4
41. Create KNN Model in Python.srt
41.1 K-NN.py
41.2 Bank_Data.csv
42. Support Vector Machine (SVM) Classification Algorithm.mp4
42. Support Vector Machine (SVM) Classification Algorithm.srt
43. Create Support Vector Machine in Python.mp4
43. Create Support Vector Machine in Python.srt
43.1 SVM.py
44. Naive Bayes Algorithm Part 1.mp4
44. Naive Bayes Algorithm Part 1.srt
45. Naive Bayes Algorithm Part 2.mp4
45. Naive Bayes Algorithm Part 2.srt
46. Create Naive Bayes Model in Python.mp4
46. Create Naive Bayes Model in Python.srt
46.1 Naive_Bayes.py
47. Decision Tree Algorithm.mp4
47. Decision Tree Algorithm.srt
48. Create Decision Tree Model in Python.mp4
48. Create Decision Tree Model in Python.srt
48.1 Bank_Data.csv
48.2 Decision Tree.py
49. Random Forest Algorithm.mp4
49. Random Forest Algorithm.srt
50. Create Random Forest Model in Python.mp4
50. Create Random Forest Model in Python.srt
50.1 Random_Forest.py
51. Course Rating.html
1. Introduction
1. Introduction to Course.mp4
1. Introduction to Course.srt
2. Course Contents.mp4
2. Course Contents.srt
3. Introduction to Data Mining.mp4
3. Introduction to Data Mining.srt
4. Data Mining Definition.html
5. Introduction to Machine Learning.mp4
5. Introduction to Machine Learning.srt
6. Machine Leaning Sub-fields..html
7. How Does Machine Learning Work.mp4
7. How Does Machine Learning Work.srt
8. Train and Test Sets..html
9. Machine Learning Algorithms Types.mp4
9. Machine Learning Algorithms Types.srt
10. Machine Leaning Types.html
11. Course Rating.html
2. Setup Programming Environment
1. Install Anaconda package.mp4
1. Install Anaconda package.srt
4. Unsupervised Learning Algorithms
1. Review Unsupervised Learning Algorithms.mp4
1. Review Unsupervised Learning Algorithms.srt
2. Hierarchical Clustering Algorithm.mp4
2. Hierarchical Clustering Algorithm.srt
3. Dendrogram Diagram Method.mp4
3. Dendrogram Diagram Method.srt
4. Overview on the business problem data.mp4
4. Overview on the business problem data.srt
5. Create Hierarchical Clustering Algorithm in Python-1.mp4
5. Create Hierarchical Clustering Algorithm in Python-1.srt
5.1 Hierarchical Clustering.py
5.2 Movies.csv
6. Create Hierarchical Clustering Algorithm in Python-2.mp4
6. Create Hierarchical Clustering Algorithm in Python-2.srt
7. K-means Clustering Algorithm.mp4
7. K-means Clustering Algorithm.srt
8. Using Elbow Method to Determine Optimal Number of Clusters.mp4
8. Using Elbow Method to Determine Optimal Number of Clusters.srt
9. Create K-means Clustering Algorithm Model in Python - 1.mp4
9. Create K-means Clustering Algorithm Model in Python - 1.srt
9.1 kmeans.py
9.2 Movies.csv
10. Create K-means Clustering Algorithm Model in Python - 2.mp4
10. Create K-means Clustering Algorithm Model in Python - 2.srt
11. Association Rules (Market Basket Analysis).mp4
11. Association Rules (Market Basket Analysis).srt
12. Overview on the business problem data.mp4
12. Overview on the business problem data.srt
12.1 GroceryStoreDataSet.csv
13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4
13. Create Association Rules (Market Basket Analysis) Model in Python - 1.srt
13.1 apyori.py
13.2 AR.py
14. Create Association Rules (Market Basket Analysis) Model in Python - 2.mp4
14. Create Association Rules (Market Basket Analysis) Model in Python - 2.srt
15. Create Association Rules (Market Basket Analysis) Model in Python - 3.mp4
15. Create Association Rules (Market Basket Analysis) Model in Python - 3.srt
5. Deep Learning
1. Introduction to Deep Learning.mp4
1. Introduction to Deep Learning.srt
2. Use Deep Learning in Classification.mp4
2. Use Deep Learning in Classification.srt
3. How Does Deep Learning Work.mp4
3. How Does Deep Learning Work.srt
4. Activation Functions.mp4
4. Activation Functions.srt
5. What is Tensorflow.mp4
5. What is Tensorflow.srt
6. Introduction to the Deep Learning Problem and Dataset.mp4
6. Introduction to the Deep Learning Problem and Dataset.srt
7. Create Artificial Neural Network Model in Python Part-1.mp4
7. Create Artificial Neural Network Model in Python Part-1.srt
7.1 M_ANN.py
7.2 Medical_data.csv
8. Create Artificial Neural Network Model in Python Part-2.mp4
8. Create Artificial Neural Network Model in Python Part-2.srt
9. Create Artificial Neural Network Model in Python Part-3.mp4
9. Create Artificial Neural Network Model in Python Part-3.srt
9.1 Link to the Keras documentation website..html
10. The Newer Version of Keras Python code to Create the Model and Add the Layers.html
11. Create Artificial Neural Network Model in Python Part-4.mp4
11. Create Artificial Neural Network Model in Python Part-4.srt
12. Course Rating.html
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