Developed a machine learning model using linear regression to predict medical costs for insurance purposes. Utilized a dataset to train the model, leveraging features such as age, BMI, smoking status, and region. Implemented data preprocessing techniques and feature engineering to enhance model performance. Demonstrated proficiency in Python programming and data analysis libraries such as pandas, scikit-learn, and matplotlib." Project link is :https://colab.research.google.com/drive/1W9DrRq5Rlj719bT6m2SNNcv-KVnSZsRB?usp=sharing
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Developed a machine learning model using linear regression to predict medical costs for insurance purposes. Utilized a dataset to train the model, leveraging features such as age, BMI, smoking status, and region. Implemented data preprocessing techniques and feature engineering to enhance model performance.
utkarsh1code/Medical-Insurance-Cost-Predictor
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Developed a machine learning model using linear regression to predict medical costs for insurance purposes. Utilized a dataset to train the model, leveraging features such as age, BMI, smoking status, and region. Implemented data preprocessing techniques and feature engineering to enhance model performance.
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