Files for compiling my presentation about H2O.ai.

Machine Learning Model helps to gain an understanding of how to optimize a number of models using grid searching

Applied ML algorithms on Income Data to find potential donors for charity

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

This is a project which uses simple metrics and model evaluation via Grid Search to build a Decision Tree Regressor to predict the price of a house in Boston.

Finding Donor for CharityML - Machine Learning Nanodegree from Udacity

An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/variance errors.

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Machine Learning project for evaluation and validation of the models