SaiJeevanPuchakayala/Implement-ML

This repo contains all my implementations of Machine Learning Models.

1. Student-Percentage-Prediction

Predict the percentage of an student based on the no. of hours studied.

This is a linear regression task and involves 2 variables.

2. Employee Salary Prediction

Predict the Salary of an Employee based on the number of years of Experience.

This is a linear regression task and involves 2 variables.

3. Person Weight Prediction

Predict the Weight of a person based on the Person's Height

This is a linear regression task and involves 2 variables.

4. StartUp Profit Prediction

Predict the Profit based on the R&D Spend, Administration, Marketing Spend, and State.

This is a Multiple Regression task and involves 5 variables.

5. IPHONE Buyer Classification

Predict the Purchase Iphone based on the Gender, Salary, and Age.

This is a Decision Tree Classification task and involves 4 variables.

6. Diabetes Prediction

Predict the Outcome based on the Pregnancies,Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age.

This is a Random Forest Prediction Model.