Skip to content
View amkish's full-sized avatar
  • United Kingdom

Block or report amkish

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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. PlantDiseaseDetection PlantDiseaseDetection Public

    Leveraging deep learning for plant disease detection to enhance crop health and optimize agricultural practices.

    Jupyter Notebook 1

  2. Global_Data_Analysis_and_Visualization Global_Data_Analysis_and_Visualization Public

    This repository contains a comprehensive study on economic performance, environmental sustainability, and governance using R and Power BI. It includes statistical analyses, data preprocessing, and …

    R

  3. retail-sales-profitability-analysis-sql-powerbi retail-sales-profitability-analysis-sql-powerbi Public

    This project analyses transaction level retail data to assess sales, profit, products, customers, regions, and discounting. Built in MySQL and presented in Power BI, it was designed as a business c…

  4. Income-Prediction-and-Financial-Patterns Income-Prediction-and-Financial-Patterns Public

    A comprehensive project applying machine learning algorithms for income prediction, financial pattern analysis, and sentiment-driven hotel ratings. Explores KNN, Random Forest, clustering technique…

    Jupyter Notebook

  5. PySparkClinicalAnalytics_and_GameRecommendationEngine PySparkClinicalAnalytics_and_GameRecommendationEngine Public

    Analyzed multi-year clinical trial data and developed a game recommender system using PySpark and collaborative filtering techniques.

    Jupyter Notebook

  6. netflix-content-strategy-analysis netflix-content-strategy-analysis Public

    Python case study exploring Netflix catalogue growth, content mix, geographic concentration, category patterns, and text themes.

    Jupyter Notebook