data_science

email-classification

Email Classification: Achieve >95% accuracy distinguishing abusive/non-abusive content. Utilizes advanced ML algorithms for precise categorization. Streamline inbox safety & efficiency. Explore, contribute, & enhance classification accuracy on GitHub

excelr-projects

Its a practice repo where I practice new tricks and techniques to make my github more interactive

global-developement-mesurement-analysis

Utilizing clustering techniques for data classification, our 'Global Development Measurement Analysis' project implements predictive models atop clustered data, empowering accurate future trend forecasts in development metrics. Explore our repository for insights and predictive analytics.

gold-price-prediction

Utilizing 7 years of gold price data, our GitHub repository hosts a machine learning model predicting gold prices for the next 30 days. Accessible via Streamlit web deployment, explore accurate forecasts for informed insights into the market.

gym-website

Landing page of a gym website

hr-analytics-using-powerbi

HR Analytics Dashboard: Excel for data cleaning & analysis, Power BI for visualization. Explore HR metrics, create interactive dashboards. Contribute to enhance HR insights. Detailed guides provided. Explore, visualize, and optimize HR data effortlessly.

mini-projects

my-portfolio_website

mysql

Here I upload my SQL scripts which I did in practice.

ritikparate

Config files for my GitHub profile.

toxic-comments-classifier

Utilizing Python, this project conducts sentiment analysis on labeled Wikipedia comments to discern toxicity types like toxic, obscene, and more. It employs Flask/Streamlit for user-friendly deployment, offering insights into emotional mining and sentiment impact.