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aiplus-sql-bootcamp

Materials for the AI+ SQL Bootcamp for Data Science

andrew-ng-machine-learning-notes

The offical notes of Andrew Ng Machine Learning in Stanford University

bechdel-test

Data analysis of gender disparity in Hollywood

bert-relation-extraction

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

cytoscape-automation

Collection of scripts that include programmatic io and control of Cytoscape

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.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencecoursera

DSCourseraToolBox Project 1

datasharing

The Leek group guide to data sharing

dsnd_term2

Contains files related to content and project of DSND Term 2

flame-python

A python implementation of Fuzzy clustering by Local Approximation of MEmbership

google-app-store-data

exporting, cleaning, and analyzing Google App Store data for effect of installs, pricing, and app size on app popularity ratings. [inspired by Datacamp]

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

CreatingRepositories101

interactivevisualization

Interactive data visualization. Adapted from https://towardsdatascience.com/interactive-graphs-in-python-830b1e6c197f

jupytemplate

Templates for jupyter notebooks

learndatascience

Open Content for self-directed learning in data science

legendary-journey

Personal projects, useful code, and work for portfolio building

martyr2-s-mega-project-list

Learning to use GitHub with projects on http://www.dreamincode.net/forums/topic/78802-martyr2s-mega-project-ideas-list/

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml-workshop-advanced

ml-workshop-intermediate-1-of-2

ml-workshop-intermediate-2-of-2

ml-workshop-intro

Introduction to scikit-learn: Machine Learning in Python

mock-request

Mock an API request and obtain a pre-saved response object