Skip to content
View amoghkori's full-sized avatar
Block or Report

Block or report amoghkori

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

  1. retail_data_analysis retail_data_analysis Public

    Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an a…

    Jupyter Notebook

  2. Fake-news-classification Fake-news-classification Public

    An advanced machine learning project focused on classifying news articles into 'agreed', 'disagreed', and 'unrelated' categories to effectively identify and combat fake news

    Jupyter Notebook

  3. Drowsiness-Detection-system-with-emotion-analysis-for-improved-vehicle-experience Drowsiness-Detection-system-with-emotion-analysis-for-improved-vehicle-experience Public

    A drowsiness detection system with emotion analysis for motor vehicles, enhancing safety by alerting drivers when they are drowsy and providing a personalized in-cabin experience based on their emo…

    Jupyter Notebook

  4. Working-with-Apache-Spark-MLLib Working-with-Apache-Spark-MLLib Public

    Implemented Apache Spark MLLib to analyze a large car dataset, predict car selling prices, and gain insights into the car market.

    Jupyter Notebook 1

  5. Credit-Card-Customer-Churn Credit-Card-Customer-Churn Public

    A data analysis project that predicts credit card customer churn using machine learning models, comparing their performance and utilizing principal component analysis (PCA) for dimensionality reduc…

  6. Google-Ads-Optimization Google-Ads-Optimization Public

    Advanced algorithm development for revenue maximization and enhanced conversion value in Google Ads expenditure, achieving a 15% increase in lead conversions while reducing costs

    1