Goutham Surendran 's starred repositories
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
design-resources-for-developers
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
JavaScript
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
leetcode-curation-topical
Tech interview prep list
javascript_playground
Javascript playground tutorials
data-structures-and-algorithmic-thinking-with-python
Data Structure And Algorithmic Thinking With Python
Ubuntu-Launcher
An Android Launcher (having Ubuntu-Gnome flavour) build with Flutter
Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
react-hooks-blog-fullstack
A React and Node blog boilerplate with complete authentication and CRUD commands to a Postgres DB.
node-api-postgres
RESTful API with Node.js, Express, and Postgres.
Movie-Recommendation-System-with-Sentiment-Analysis
Content based movie recommendation system with sentiment analysis
Movie_recommendation_engine
This repository contains the code for building movie recommendation engine.
nodejs_authentication
Here is a simple Local Authentication USing Node,Express And Passport with Password Encryption Using BcryptJS...
terminal-commands-fullstack
Useful Terminal commands for working with AWS EC2 instances in a nginx, Node and PM2 Production environment
movie-recommender-system
A movie recommender system based on MovieLens Dataset
Movie-Rating-and-Prediction-Model
The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
MovieLens-100K_Recommender-System
Movie recommender system using Surprise library.
ML_From_Scratch
:boom: This repository contains the implementations of popular machine learning algorithms from scratch using just the basic python libraries.