Skip to content
View Radhikareddy-chintareddy's full-sized avatar
  • Clarkson University

Organizations

@Clarkson-Applied-Data-Science

Block or report Radhikareddy-chintareddy

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Big-Data-Analysis-NY-Weather-Air-Quality-2022 Big-Data-Analysis-NY-Weather-Air-Quality-2022 Public

    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, …

    Jupyter Notebook 1

  2. Predictive-Churn-Modeling-Machine-Learning-for-Customer-Retention Predictive-Churn-Modeling-Machine-Learning-for-Customer-Retention Public

    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…

    Jupyter Notebook 1

  3. Exploratory-Data-Analysis-and-Regression-for-Property-Pricing Exploratory-Data-Analysis-and-Regression-for-Property-Pricing Public

    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, multicollinear…

    Jupyter Notebook 1

  4. Financial_Risk_Analysis_Machine_Learning Financial_Risk_Analysis_Machine_Learning Public

    machine learning techniques to predict company defaults by optimizing the trade-off between recall (minimizing false negatives) and precision (avoiding false positives). Logistic Regression and Ran…

    Jupyter Notebook 1

  5. End-to-End-Stock-Price-Forecasting-with-ARIMA-and-Facebook-Prophet End-to-End-Stock-Price-Forecasting-with-ARIMA-and-Facebook-Prophet Public

    A comprehensive time series forecasting of Apple stock prices using data from NASDAQ for 2018–2019. Key techniques include exploratory data analysis (EDA), ARIMA modeling (with and without exogenou…

    Jupyter Notebook 1

  6. Big-Data-Insights-NYC-Taxi-Trips-2013- Big-Data-Insights-NYC-Taxi-Trips-2013- Public

    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 …

    Jupyter Notebook