AI Level 5- Basic Machine Learning Algorithm
- Description
- Curriculum
- Reviews
Introduction to Machine Learning
Simple Linear Regression
Multiple Linear Regression
Polynomial Linear Regression
Logistic Regression
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20
Logistic Regression -
21
Case Study: Predict whether customers will buy a product or not?(Part 1)
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22
Case Study: Predict whether customers will buy a product or not?(Part 2)
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23
Case study: Predict whether customers will buy a product or not?(Part 3)
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24
Quiz: Logistic Regression -
25
Logistic Regression
KNN Algorithm
Decision Tree Algorithm
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31
Decision tree algorithm
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32
Case Study: Predict whether a client will subscribe to a term deposit (Part 1)
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33
Case Study: Predict whether a client will subscribe to a term deposit (Part 2)
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34
Case Study: Predict whether a client will subscribe to a term deposit (Part 3)
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35
Case Study: Predict whether a client will subscribe to a term deposit (Part 4)
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36
Case Study: Predict whether a client will subscribe to a term deposit (Part 5)
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37
Quiz: Decision tree algorithm
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38
Decision tree algorithm
Regularization
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39
Regularization Algorithm
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40
Case Study: House price prediction (Part 1)
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41
Case Study: House price prediction (Part 2)
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42
Case Study: House price prediction (Part 3)
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43
Case Study: House price prediction (Part 4)
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44
Case Study: House price prediction (Part 5)
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45
Case Study: House price prediction (Part 6)
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46
Case Study: House price prediction (Part 7)
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47
Case Study: House price prediction (Part 8)
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48
Quiz: Regularization
Ensemble Algorithms
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49
Introduction to Ensemble Algorithms
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50
Ensemble algorithms
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51
Case Study: Predict the price of preowned cars(Part 1)
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52
Case Study: Predict the price of preowned cars(Part 2)
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53
Case Study: Predict the price of preowned cars(Part 3)
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54
Case Study: Predict the price of preowned cars(Part 4)
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55
Case Study: Predict the price of preowned cars(Part 5)
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56
Ensemble Algorithms
Support Vector Machine Algorithms and PCA
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57
Support vector machine(SVM)
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58
Principal Component Analysis(PCA)
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59
Cross validation
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60
Case Study: Network performance vulnerability.(Part 1)
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61
Case Study: Network performance vulnerability.(Part 2)
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62
Case Study: Network performance vulnerability.(Part 3)
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63
Case Study: Network performance vulnerability.(Part 4)
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64
Case Study: Network performance vulnerability.(Part 5)
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65
Case Study: Network performance vulnerability.(Part 6)
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66
Case Study: Network performance vulnerability.(Part 7)
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67
Case Study: Network performance vulnerability.(Part 8)
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68
Quiz 9: SVM and PCA
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69
SVM and PCA
KMeans Clustering Algorithm
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70
Introduction to KMeans
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71
KMeans Clustering Algorithm
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72
Case Study: Customer segmentation (Part 1)
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73
Case Study: Customer segmentation (Part 2)
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74
Case Study: Customer segmentation (Part 3)
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75
Case Study: Customer segmentation (Part 4)
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76
Case Study: Customer segmentation (Part 5)
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77
Quiz: KMeans Algorithm
Hierarchical Clustering Algorithm
Final Assignment
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Course details
Lectures
65
Assignments
8
Quizzes
9
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