Wheather Prediction - Logistic Regression

This project's objective is to predict the likelihood of rain in Australia for the following day using machine learning techniques. The approach involves employing logistic regression and evaluating several variables such as temperature, humidity, and wind speed. This analysis aims to uncover the relationships between these factors and the possibility of rain, contributing to a more informed understanding of weather forecasting.

EDA on Spotify Data

Using libraries like pandas, numpy, seaborn etc, performed an in depth analysis on the data of the "Spotify" artists, tracks and features. Techniques like Exploratory Data Analysis, Data Cleaning, Data Visualization has been used.