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1. Frequent_Itemsets_Apriori Frequent_Itemsets_Apriori Public

   * Predicted frequent itemsets of users and businesses from yelp dataset by providing the filter threshold * Implemented Apriori algorithm and SON algorithm to achieve an accuracy of 100%.

   Python

2. KNN_PCA_MNIST_dataset KNN_PCA_MNIST_dataset Public

   Used the MNIST dataset to predict the handwritten values using KNN(implemented from scratch) and dimensionality reduction using PCA

   Python

3. Recommendation_System Recommendation_System Public

   • Built a content-based recommendation system with an accuracy of 99.92% in python on yelp data. Developed the model from scratch using TF-IDF technique and successfully predicted if a user would p…

   Python

4. tmdb-android-app tmdb-android-app Public

   Build an android app by making third party API calls to TMDB API. Implemented backend in Node.js and deployed in GCP.

   Java

5. tmdb-database-flask-js tmdb-database-flask-js Public

   -> Created a website with a frontend in HTML, Javascript and CSS. -> Backend was built by making third party API calls to TMDB and using Flask, JSON and Azure.

   JavaScript

6. TMDB-website-angular TMDB-website-angular Public

   Implemented a combination of HTML5, Bootstrap, AJAX and Angular on client side to make an asynchronous website.Built a backend using Node.js/Express on server side. Deployed the project on GCP and …

   TypeScript