really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

research-advice

articles about research and phd advice

rfunc

This repository focuses on learning R with useful functions. I will also be adding examples to it.

rstudio-conf-2018

Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

scikit-learn-tips

:robot::zap: 50 scikit-learn tips

scimple

:heavy_minus_sign::heavy_minus_sign::heavy_minus_sign::large_orange_diamond::heavy_minus_sign::heavy_minus_sign: Tidy Simultaneous Confidence Intervals for Multinomial Proportions

sentiment-analysis-with-twitter-1

simpleensembleblending

Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)

snorkel

A system for quickly generating training data with weak supervision

socialmediaanalysis

This repository will include the work and practise problems related to Social Media Analysis.

south-african-heart-disease-data-analysis-using-python

Part1 : Data Feature extraction, and visualization using PCA Part 2: Supervised learning: Naive Bayes Classification and logistic regression Part 3: K means clustering and anomaly detection

spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

spark-r-notebooks

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

sparkit-learn

PySpark + Scikit-learn = Sparkit-learn

sparklyr

R interface for Apache Spark

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

summarytools

R Package for quickly and neatly summarizing vectors and dataframes

tabnine

The all-language autocompleter: https://tabnine.com/

tensorboard

TensorFlow's Visualization Toolkit

tensorflow

TensorFlow for R

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

text-analysis-with-textblob-using-python3

Hands on self-learning experiements with text analysis using NLTK and Textblob in Python3

text-to-image

Text to image synthesis using thought vectors

textblob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.