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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

abstract-reasoning-matrices

Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018

adult_census_income_dataset

EDA + basic classification using ADULT dataset

ai

Welcome to the Microsoft Conversational AI repository which is the home for a set of templates and solutions to help build Conversational Experiences using Azure Bot Service and Bot Framework.

alphago

alphago-zero-paper

AlphaGo-paper

alphagozero-python-tensorflow

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

amazon-forest-computer-vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

awesome-deep-rl

Deep Reinforcement Learning study materials

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

bayesian-text

A hands-on workshop applying Naive Bayes to text classification

betago

BetaGo: AlphaGo for the masses, live on GitHub.

botorch

Bayesian optimization in PyTorch

business-communication

USF's MSDS Communications for Analytics Course

charts

Simple, responsive, modern SVG Charts with zero dependencies

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

cinemascience.github.io

Cinema Science Organization web page

comet-examples

Examples of Machine Learning code using Comet.ml

computationalstatistics

An Introduction to Computational Statistics in Python for Data Institute Conference 2019

conv2mp4-py

Python script that recursively searches through a user-defined file path and converts all videos of user-specified file types to MP4 with H264 video and AAC audio using ffmpeg. If a conversion failure is detected, the script re-encodes the file with HandbrakeCLI. Upon successful encoding, Plex libraries are refreshed and source file is deleted. The purpose of this script is to reduce the amount of transcoding CPU load on a Plex server.

coursera-dl

Ruby script to download coursera lectures.

coursera-dl-1

Script for downloading Coursera.org videos and naming them.

cs-110-resources

Introduction to Programming at University of San Francisco

cs486-career-prep

University of San Francisco's CS 486 Special Topic: Career Prep

csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

data-science-ml---regression

Practice programs written in R.

datamodel

Base datamodel for the QGEP project

db2-event-store-akka-streams

Use Akka to implement a WebSockets endpoint and stream data to Db2 Event Store

ddencode

Encode a sequence of images to h.264 mp4 video using ffmpeg

deepar

Tensorflow implementation of Amazon DeepAR