ritikparate
Fresher Graduate in Computer Engineering. Looking for an entry level job to apply my skills. My skills include Data Analysis, Data Science, Machine Learning.
Baner, Pune
Pinned Repositories
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
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.
ritikparate's Repositories
ritikparate/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.
ritikparate/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
ritikparate/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.
ritikparate/Data_Science
ritikparate/ExcelR-Projects
Its a practice repo where I practice new tricks and techniques to make my github more interactive
ritikparate/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.
ritikparate/gym-website
Landing page of a gym website
ritikparate/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.
ritikparate/Mini-Projects
ritikparate/My-Portfolio_Website
ritikparate/MYSQL
Here I upload my SQL scripts which I did in practice.
ritikparate/ritikparate
Config files for my GitHub profile.