jingyany

coding-interview-university

A complete computer science study plan to become a software engineer.

awesome-public-datasets

A topic-centric list of HQ open datasets.

scikit-learn

scikit-learn: machine learning in Python

hiring-without-whiteboards

⭐️ Companies that don't have a broken hiring process

magenta

Magenta: Music and Art Generation with Machine Intelligence

interview

Everything you need to prepare for your technical interview

Become-A-Full-Stack-Web-Developer

Free resources for learning Full Stack Web Development

data

Data and code behind the articles and graphics at FiveThirtyEight

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

easy-application

Over 400 software engineering companies that are easy to apply to

algs4

Algorithms, 4th edition textbook code and libraries

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

ctci

Cracking the Coding Interview, 5th Edition

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

AlgorithmsSedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

growth-in-action

全栈增长工程师实战

ud120-projects

Starter project code for students taking Udacity ud120

leetcode

:sparkles::v::sparkles:leetcode刷题 内附leetcode solution代码自动下载生成器（Leetcode solution auto generator)

GradientDescentExample

Example demonstrating how gradient descent may be used to solve a linear regression problem

leetcode

leetcode Solutions.java 250 / 269 (Algorithms)

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

glmnet_python

files

面经文件

time-series-prophet

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

LintCodeBook

Lintcode Solutions with Explanation

yield-curve

A Python/Jupyter notebook project to understand the Yield Curve and its potential for forecasting a recession

FRED_Forecasting_Final

Climate_Police

Visualization of Climate change & its correlation with pollution

Time-Series-Forecasting

Exploratory notebook . Techniques used: FFT, ARIMA, GARCH, Monte Carlo Simulations, fbprophet, LSTM, WaveNet.