nickwugp Goto Github PK

2015

Public material for CS109

aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

aind2-dl

basket_analysis

dashboard report

classification

cn-machine-learning

https://cn.udacity.com/mlnd/

coding_interview

creating_customer_segments

creating_postgresql_database

data-science-from-scratch

code for Data Science From Scratch book

database_design

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

first-repo

git_tutorial

git tutorial

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

keras

Deep Learning for humans

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

linear_algebra

linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

machine-learning-algorithms

This repo contains some main machine learning algorithms by using mind mapping to better understand their concepts, basic ideas and models, i.e. Regularized Regression, Logistic Regression, Decision Tree, Naive Bayes, SVM, KNN, K-means Clustering, Ensemble Learning (Adaboost, Boosting Tree, Random Forest, GDBT).

machine_learning_basics

Plain python implementations of basic machine learning algorithms

mining-the-social-web-3rd-edition

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

ml-vid-code

Code for machine learning video material on youtube

numpy-100

100 numpy exercises (100% complete)

pami_pykit

prep_ml

prep_stats

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book