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파이썬 코딩을 통한 최고의 데이터 과학 자료; 분석에 대한 Reddit 토론

Learn analytics & data science along with python coding & cheatsheets!

Trending articles on Machine Learning (ML), Deep Learning (DL), artificial intelligence (AI), python, natural language processing (NLP) and data visualisation from Kaggle, Data Camp, Analytics Vidhya and Reddit. While you can take analytics courses on Coursera & Udacity, you can keep this app to keep yourself update and hands-on.

Experts curate content from various sources like Reddit, Analytics Vidhya, Kaggle, Data Camp to get your the best quality content to learn machine learning, deep learning, artificial intelligence etc. Most of the posts have python coding examples.

Learn data science anywhere, anytime!

Sources of Articles-

Kaggle blog

KD Nuggets

Data Camp

Dataquest

Analytics Vidhya

Reddit

Data School

Flowing Data

Towards Data Science

Simply Statistics

Content topics & sources-

Python

keras

neural networks

Deep Learning

Machine Learning

Python

data science

Reddit

Reddit discussions

Some of the posts are-

Model a basic trading strategy in python: from idea to execution...

FPGA Synthesis of Tensorflow Deep Neural Networks

Practicing Machine Learning Techniques in R with MLR Package

Artificial Intelligence (AI) emulates how people think — Artificial Emotional Intelligence (AEI) emulates how people feel

A Complete Tutorial to Learn Data Science with Python from Scratch

Essentials of Machine Learning Algorithms (with Python and R Codes)

Difference between Machine Learning & Statistical Modelling

30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016

A Complete Tutorial on Tree Based Modeling from Scratch in R & Python

6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)

Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

How Decision Tree model is different from Random Forest?

A Complete Tutorial to Learn Data Science with Python from Scratch

Essentials of Machine Learning Algorithms (with Python and R Codes)