Projects in Awesome Lists by Radhikareddy-chintareddy
A curated list of projects in awesome lists by Radhikareddy-chintareddy .
https://github.com/radhikareddy-chintareddy/exploratory-data-analysis-and-regression-for-property-pricing
This project analyzes property listing data to uncover trends and predict property prices using regression modeling. Key steps include exploratory data analysis (EDA), data cleaning, multicollinearity checks, and model evaluation using metrics like RMSE.
data-visualization exploratory-data-analysis python regression-analysis rmse-score statistical-analysis
Last synced: 26 Mar 2025
https://github.com/radhikareddy-chintareddy/predictive-churn-modeling-machine-learning-for-customer-retention
This project employs machine learning algorithms to predict customer churn by analyzing historical customer data. It provides actionable insights to enhance customer retention. The models were fine-tuned using hyperparameter optimization and tackled data imbalance with SMOTE, achieving high F1-scores to drive targeted business strategies.
ensamble-methods feature-selection hyperparameter-tuning machine-learning-algorithms python regression-algorithms smote-sampling
Last synced: 26 Mar 2025
https://github.com/radhikareddy-chintareddy/big-data-analysis-ny-weather-air-quality-2022
End-to-end workflow showcasing database setup, API development, and interactive data retrieval of large datasets. Includes integration and analysis of 2022 SURFACE HOURLY weather data (global, US, and NY) merged with NY air pollution data from the EPA to uncover actionable insights.
big-data-analytics data-integration data-visualization flask-restful jupyter-notebook pymysql python
Last synced: 14 Mar 2025
https://github.com/radhikareddy-chintareddy/sentiment-analysis-on-airline-tweets-classification-and-text-mining-with-machine-learning
Classifying sentiment from airline-related tweets. Using text mining, it categorizes tweets into positive, negative, or neutral sentiments, providing insights into customer feedback and airline reputation. The project involves preprocessing text data, feature extraction, and implementing classification algorithms for sentiment prediction.
Last synced: 26 Mar 2025
https://github.com/radhikareddy-chintareddy/big-data-insights-nyc-taxi-trips-2013-
A project showcasing memory-efficient big data processing using Python, focusing on scalable data handling to overcome memory constraints. Includes anomaly detection, efficient visualizations, and actionable insights from the 2013 NYC Taxi Trip dataset.
big-data-analytics csv-reader matplotlib-pyplot python
Last synced: 26 Mar 2025