Pinned Repositories
Most_Asked_JS_Questions
This list has many Interview questions of JavaScript. I propose to do 1 question everyday.
A-machine-learning-movie-recommender-using-collaborative-filtering
A machine learning movie recommendation system using collaborative filtering. Project contributor: Abhimanyu Santani Algorithm used: Collaborative Filtering The data-set was taken from kaggle.com and the copy of the data set is present in the repo. The recommendation system recommends the movies which have a higher correlation with the movie which you want to compare and the number of people has been set to 100 for comparison. I have used Python's inbuilt numpy and panda's library to use the inbuilt functions. I have also used Python's matplotlib and seaborn to do a data-analysis. Python's panda dataframe has been used to clean data. I have used two movies "Return of the Jedi" and "Toy Story" to print all the movies which have similar correlation with it using inbuilt Python's library. The code has been throughly explained by comment lines at every step.
Disfo1
This is part of MERN2 taught at Crio.
docs
Codecademy Docs is a collection of information for all things code. 📕
entry_management
ExpressWorks_Solutions
File-System-Organizer
first-contributions
🚀✨ Help beginners to contribute to open source projects
Front-end-Javascript-Interview-Topics
Advanced javascript interview questions for interviews
js_skills
santani2611's Repositories
santani2611/LetsGetRagged
santani2611/nodejs_jwt_authentication
This project provides a secure authentication system using JWT (JSON Web Tokens) for Node.js applications
santani2611/Disfo1
This is part of MERN2 taught at Crio.
santani2611/Promise-It-Wont-Hurt-Solutions
This repo contains solutions to nodeschool problems on promise_it_wont_hurt.
santani2611/ExpressWorks_Solutions
santani2611/Most_Asked_JS_Questions
This list has many Interview questions of JavaScript. I propose to do 1 question everyday.
santani2611/Front-end-Javascript-Interview-Topics
Advanced javascript interview questions for interviews
santani2611/first-contributions
🚀✨ Help beginners to contribute to open source projects
santani2611/docs
Codecademy Docs is a collection of information for all things code. 📕
santani2611/qtify
santani2611/js_skills
santani2611/wcat_nodejs_implementation
santani2611/File-System-Organizer
santani2611/entry_management
santani2611/spot_down
santani2611/learning_Git
santani2611/Practical_Web_Dev
santani2611/reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
santani2611/A-machine-learning-movie-recommender-using-collaborative-filtering
A machine learning movie recommendation system using collaborative filtering. Project contributor: Abhimanyu Santani Algorithm used: Collaborative Filtering The data-set was taken from kaggle.com and the copy of the data set is present in the repo. The recommendation system recommends the movies which have a higher correlation with the movie which you want to compare and the number of people has been set to 100 for comparison. I have used Python's inbuilt numpy and panda's library to use the inbuilt functions. I have also used Python's matplotlib and seaborn to do a data-analysis. Python's panda dataframe has been used to clean data. I have used two movies "Return of the Jedi" and "Toy Story" to print all the movies which have similar correlation with it using inbuilt Python's library. The code has been throughly explained by comment lines at every step.