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1. Deep-Learning-Grid-World-Q-Learning Deep-Learning-Grid-World-Q-Learning Public

   Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see…

   Python

2. Geospatial-Air-Quality-Analysis-with-Apache-Spark Geospatial-Air-Quality-Analysis-with-Apache-Spark Public

   This project analyzes air quality data across regions to identify improvement areas, track trends, and classify similar regions using clustering. Leveraging PySpark, it processes sensor data, calcu…

   Python

3. Global-Ecommerce-Retail-Trends-Analysis Global-Ecommerce-Retail-Trends-Analysis Public

   The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data re…

   Jupyter Notebook

4. Apache-Kafka-and-Frequent-Item-sets Apache-Kafka-and-Frequent-Item-sets Public

   This Bash script automates the setup and execution of a data processing pipeline using Apache Kafka and Python scripts, ensuring fault tolerance and streamlined management of Kafka-based data pipel…

   Python 3

5. FMA-A-Dataset-For-Music-Analysis FMA-A-Dataset-For-Music-Analysis Public

   Scripts for music feature analysis, model training, and real-time recommendation using Apache Kafka. Extract features, store them in MongoDB, and process the data with Apache Spark. A web interfac…

   Python 2 1

6. Efficient-Graph-Algorithms Efficient-Graph-Algorithms Public

   A C++ implementation of a weighted graph using an adjacency matrix. Features include vertex and edge management, shortest distance calculation with Dijkstra's algorithm , and adjacency matrix visua…

   C++ 1