James Le

cracking-the-data-science-interview. A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

technical-interview-prep. These are coding solutions for problems I study while preparing for technical interviews at tech companies

computer-networking. Lecture Slides for Philip Levis and Nick McKeown's "Introduction to Computer Networking" Stanford course

computer-vision. Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

natural-language-processing. Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

movielens. 4 different recommendation engines for the MovieLens dataset.

fashion-recommendation. A clothing retrieval and visual recommendation model for fashion images.

MetaRec. PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

statistical-learning. Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

neural-nets. Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

applied-machine-learning. A step-by-step guide to get started with Applied Machine Learning

fashion-mnist. 4 different image classification ConvNets models for Fashion-MNIST dataset

complete-guide-to-deep-learning. This guide is for those who know some math, know some programming language and now want to dive deep into deep learning

data-mining. Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

spotify-artists-analysis. An exploratory data analysis and data visualization project using data from Spotify Web API

deep-learning. Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

machine-learning. Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

trip-optimizer. Travel Time Optimization via Ant Colony and Genetic Evolution

deep-reinforcement-learning. Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning

world-cup-2018. An exploratory data analysis and data visualization project for World Cup 2018

instacart-orders. Instacart Market Basket Analysis challenge

tensorflow-machine-learning. Implementing Machine Learning tasks using Tensorflow framework

airbnb-cities. Data Analysis and Visualization on Airbnb Data

ml-deployment-with-django. Tutorial on Deploy Machine Learning Models with Django from https://www.deploymachinelearning.com/

operating-systems. Programming Assignments for Georgia Tech's "Introduction to Operating Systems" Udacity course

khanhnamle1994. All about James Le

intro-to-machine-learning. Python code for Udacity's "Intro to Machine Learning" course

hacker-news-v2. The Road to learn React Tutorials - Building a real world Hacker News App

twitter-clone. I made a simple Twitter Clone with React Native

inventory-app. I created a simple inventory management application with Laravel and Vue.js as the frontend

tweetme-django. Build a Twitter-like web app step-by-step with Django, jQuery, and Bootstrap!

sunshine. A weather application that retrieves information from OpenWeatherMap, a free weather API for developers.

data-analysis-R. RStudio code for Udacity's "Exploratory Data Analysis With R" course

course-gitbook. Full Stack Deep Learning Online Course

react-hacker-news. I built a real world API of Hacker News

todo-app. I built a ToDo App Using React, Redux, and Webpack

android-basics. A variety of applications built with Android Studio

neural-collaborative-filtering. pytorch version of neural collaborative filtering

react-flux-app. I built a simple React application using the Flux pattern

khanhnamle1994.github.io. A personal website and blog created using Jekyll and hosted for free using GitHub Pages

web-dev-bootcamp. Projects done for Colt Steele's "The Web Developer Bootcamp" Udemy course

FreeCodeCamp. The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.

pinterested. A clone of Pinterest

c-plus-plus. Learn C++ by creating simple programs

real-estate-website. I built a real estate website using Ember.js and Cosmic JS

project-minimak. I built a miniature version of the MekHQ application (https://www.megamek.org/mekhq)

static-website. I built an API-Powered, Static Website

yelpcoffeeshops. A full-stack Node.js project to allow user to create, read, update, and delete coffeeshop information.

note-taking. I built a simple note taking app that can be used inside of the command line

medium-backup. I built a Medium backup application using Node.js and Cosmic JS.

arcade-frogger-game. Final Project for Udacity Object-Oriented JavaScript course https://www.udacity.com/course/object-oriented-javascript--ud015

events-app. I created an "Events" app using a little bit of Node, Angular JS and Cosmic JS

react-site-graphql. I built a React Website Powered by the Cosmic JS GraphQL API

simple-blog. I created a simple blog using Node.js and Cosmic JS. This is the fastest and most light-weighted blog I have ever created.

facebook-bot. I built a Facebook Bot App Using Node.js

job-search. Knapsack Problem During My Job Search Process

react-universal-blog. I built a React Universal Blog App that would first render markup on the server side to make the content available to search engines. Then, it would let the browser take over in a single page application that is both fast and responsive.

cs271-data-structures. All code for Denison's CS 271: Data Structures