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A complete Movie Recommendation System project implementing Popularity-Based, Content-Based, and Collaborative Filtering models using the MovieLens dataset. Built with Python, Pandas, and Plotly, featuring interactive inputs and visualizations.

  • Updated May 26, 2025
  • Jupyter Notebook

Experimenting and Testing the Limits of Spring-Based Microservices in an Ecommerce Application Technology Topics: Java, Spring Boot, REST API, Spring Cloud, Java 8, Spring Framework, Spring Cloud Netflix, Spring Data JPA, RESTful API, Circuit Breaker, Edureka Microservices

  • Updated Sep 1, 2023
  • Java

A complete collection of hands-on DIY projects from the Edureka Data Science 🔍📊Master Program, covering Python, Statistics, Machine Learning (Supervised & Unsupervised), NLP, Deep Learning (including Reinforcement Learning), Model Evaluation, and Tableau – organized by day and topic for structured learning.100 Days of Edureka Data Science DIY's

  • Updated Jun 3, 2025
  • Jupyter Notebook

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