Developed an end-to-end data analysis and machine learning system during a 3-month internship to analyze retail sales data and predict future sales. Performed EDA, data preprocessing, and model training using Random Forest. Built a Flask-based web app for real-time prediction and visualization.
ARIMA Seasonal ARIMA model (Forecasting)
various machine learning challenges
Telegram-based wellness and anxiety analytics platform that collects users data , performs data analysis and generates personalized wellness insights.
A simple Linear Regression project from scratch in Python 3.
To build a regression model to predict the visibility distance based on the given different climatic indicators in the training data.
Sussexbudgetproduction Report About Movie datase
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