Predict Admit chance to Graduate Programs.

Performed Exploratory Data Analysis to find correlation and distribution of various parameters Applied Linear Regression Machine Learning Model to predict the target variable ‘Chance of Admit’ Identified most crucial parameter for ‘High Chance of Admit’ by applying Feature Importance using Random Forest Regressor Link to GitHub Repository

April 3, 2020

Forecast Medical Insurance Cost

Cleaned the data and conducted Exploratory Data Analysis Transformed hashable and comparable non-numerical labels to numerical labels using LabelEncoder Applied Polynomial and Linear Regression Machine Learning Models to predict the target variable ‘Insurance Cost’ accurately Link to GitHub Repository