• Created a tool that predicts home prices from a Kaggle dataset with 85% accuracy.

• Engineered features from the dataset added new features also remove unwanted features using business logic and dimensionality reduction.

• Remove outlier using Standard Deviation and Mean also plot the data using Matlotlib to understand better .

• Optimized Linear Regression, Decision Tree, and Lasso Regression using GridsearchCV to reach the best model.

• Built a client facing UI using JavaScript, HTML and CSS.

• Built a client facing API using flask.

• Upload this project on AWS using nginx.

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