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100-days-of-ml-code

100 Days of ML Coding

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

advanced-stochastic-modeling

Course material for Advanced Stochastic Modeling, STA531, Duke University, Spring 2016.

algorithm_practice_python

Practice makes perfect.

analytics_ds_articles

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

automate-the-boring-stuff

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-datascience

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

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-nlp

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

awesome-r

A curated list of awesome R packages, frameworks and software.

bayesian-statistics

This repository holds slides and code for a full Bayesian statistics graduate course.

bayesian-statistics-1

Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.

bayesian-statistics-coursera

Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz

bayesmadesimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

beginner_nlp

A curated list of beginner resources in Natural Language Processing

breast-cancer-prediction

WDBC Cancer data analysis for predicting whether a tumor is benign or malignant

car-evaluation-analysis

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

cheatsheets

Curated List of cheat sheets for Data Scientists

churn-analysis-time-series-r

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

comsw4721_machinelearning_homework

Implementation of Machine Learning algorithms using numpy in Python. The exercise was done as part of homeworks given at Columbia's Machine Learning (COMS W4721) class conducted by Dr. John Paisley

coursera-deeplearning.ai

Deeplearning.ai Courses

cracking-the-data-science-interview

Cracking the Data Science Interview

cs231n-computer-vision

cs231n.github.io

Public facing notes page

data-model-drift

Managing Data and Model Drift with Azure Machine Learning

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.