Skip to content
View omkarharer's full-sized avatar

Block or report omkarharer

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

Pinned Loading

  1. Boom_Bikes_rental_Prediction Boom_Bikes_rental_Prediction Public

    Developed a regression model for BoomBikes to predict rental bike counts and analyze factors like weather, season, and holidays impacting rental demand.

    Jupyter Notebook

  2. EDA-Bank-Risk-Analysis- EDA-Bank-Risk-Analysis- Public

    This project aims to identify indicators of loan default risk, enabling informed actions to manage lending decisions and reduce financial risk through exploratory data analysis (EDA).

    Jupyter Notebook

  3. Lead_Conversion_Analysis Lead_Conversion_Analysis Public

    Developed a logistic regression model to predict lead conversion, enhancing prioritization and sales efficiency.

    Jupyter Notebook

  4. Telecom-Churn-Analysis Telecom-Churn-Analysis Public

    I have developed a telecom churn prediction model to identify high-value customers at risk of churn and provide actionable insights to enhance customer retention.

    Jupyter Notebook

  5. AI-Mental-Health-Agent AI-Mental-Health-Agent Public

    AI-powered Mental Health Chatbot that provides supportive responses to user queries using ChatGroq and a Chroma vector database for context-based answers. Built with Streamlit for an easy-to-use in…

    Jupyter Notebook 1

  6. sql-chat-AI_assistant sql-chat-AI_assistant Public

    The SQL Chat Assistant is a Streamlit-based web application that allows users to interact with a SQL database using natural language. It uses a Language Learning Model (LLM) to generate SQL queries…

    Jupyter Notebook