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artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

aws-machine-learning-university-accelerated-nlp

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

dat4

General Assembly's Data Science course in Washington, DC

data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

data-science-with-r

NYU Shortcourse -- "Data Science and Social Science" materials

datasciencepython

common data analysis and machine learning tasks using python

isds3105_fall18

This is the material for ISDS3105

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

rsdudy

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

somnath113.github.io

personal webpage

stat-with_r

EXST7014: Spring 2019

tensorflow

An Open Source Machine Learning Framework for Everyone

text-mining-nlp

Text analysis and mining with R. Application of NLP.

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.