Analyze house price data using univariate, bivariate, and multivariate analysis.
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Updated
May 9, 2023 - Python
Analyze house price data using univariate, bivariate, and multivariate analysis.
Numerical Methods to ODEs Applied to Classical Physics
This project focuses on analyzing State/UT-wise EV market data in India from 2001 to 2024. It aims to uncover patterns in EV sales, production, and infrastructure development while highlighting sensitive regions and critical periods.
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.
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