# AI Level 5- Basic Machine Learning Algorithm

### Introduction of ML

1

Why ML?

2

Applications of ML

### Types of Machine Learning Algorithms

1

Types of Machine Learning Algorithms

2

Supervised Machine Learning Algorithms

### Regression Algorithms and Classification Algorithms

1

Unsupervised ML Algorithms

2

Reinforcement ML Algorithms

### Linear Regression Algorithm

1

Introduction and Applications

2

Simple Linear Regression

3

Multi Linear Regression

4

Polynomial Linear Regression

### Logistic Regression

1

Difference Between Linear and Logistic Regression

2

Applications of Logistic Regression

3

Case Study: Need of Standardization

4

Model Performance for Classification Problems: Accuracy, Confusion, Matrix, Precision, Recall, F1 Score

### KNN Algorithms

1

Definition and Working Procedure

2

How to Find K Value

3

Distance Measuring Formula: Euclidean Distance

4

Examples for KNN

5

Case Study: Handling Missing Values

### Regularization Algorithms

1

Bias, Variance, Underfitting, Over Fitting, Best Fitting

2

Importance of Regularization

3

LASSO(L1) Regularization

4

RIDGE(L2) Regularization

5

Elastic Regularization

6

Difference Between L1 and L2 Regularization

7

Case Study: Dealing With Overfitting Problems

### Decision Tree Algorithms

1

Introduction and Usage

2

Related Terms: Entropy, Root Node, Decision Node, Leaf Node, Information Gain, Gini Index

3

Advantages and Disadvantages of Decision Tree Algorithms

4

Case Study: Checking Correlation of Each Input Parameters with Output

### Ensemble Algorithms

1

Definition and Usage Ensemble Algorithms

2

Related Terms: Entropy, Root Node, Decision Node, Leaf Node, Information Gain, Gini Index

3

Application of Ensemble Algorithms

4

Types of Ensemble Algorithms

5

Random Forest Algorithm

6

Bagging Algorithm

7

Boosting Algorithm

8

Differences Between Random Forest and Bagging Algorithm

9

Differences Between Bagging and Boosting Algorithsm

10

Case Study: Outliers and Reducing Dimensionality

### Support Vector Machine Algorithms

1

Definition and Working Procedure

2

Different Types of Kernel Functions

3

Terms Related to SVM: Hyperplane, Positive Vectors , Negative Vectors and Distance Margin

4

Applications of SVM

5

Case Study: Pipelining, Model Based Ranking, Imbalanced Dataset, Resample Package

6

Unsupervised Machine Learning Algorithms

### Kmeans Clustering Algorithm

1

Introduction to Kmeans

2

Applications of Clustering Algorithms

3

Distance Measuring Formulas

4

Elbow Methods for Finding Number of Clusters

5

Case Study

### Hierarchical Clustering Algorithm

1

Definition and Usage

2

Applications of Clustering Algorithms

3

Distance Measuring Formulas

4

Dendrogram

### Final Assessment

### Live Project

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AI Level 5- Basic Machine Learning Algorithm

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