Implementation of all the algorithms regarding major project
Syllabus Category: Machine Learning
Classification
- kNN – How it works?
- kNN – Python Implementation
- Decision Tree Classifier and Random Forest Classifier in Python
- SVM – How it works?
- SVM – Python Implementation
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Trees
- Random Forest
- Decision Trees and Random Forest – Python Implementation
Preprocessing
- Importing a dataset in python
- Resolving Missing Values
- Managing Category Variables
- Training and Testing Datasets
- Normalizing Variables
- Normalizing Variables – Python Code
Python Data-Types
- Numbers – Integer, Float, Complex Numbers
- Boolean
- String, String operations and Methods
- Lists Methods
- Tuples
- Sets
- Dictionaries
Machine Learning Introduction
Machine Learning Introduction.