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100-days-of-ml-code

100 Days of ML Coding

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

airbnb-zillow-data-challenge

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

athene_system

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-gcp-certifications

A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.

awesome-machine-learning-on-source-code

Interesting links & research papers related to Machine Learning applied to source code

awesome-nlp

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

azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs598-psl---assignments

Class Assignments for UIUC 598 Practical Statistical Learning

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

d3_example

Visualization of Every Satellite Orbiting The Earth in D3.js

data-analysis-with-spark

data-science--cheat-sheet

Cheat Sheets

data-science-and-machine-learning-resources

List of Data Science and Machine Learning Resource that I frequently use

data-science-blogs

A curated list of data science blogs

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.

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-science-toolbox

Examples and illustration of basic statistic concepts, probability distribution, Monte Carlo simulation, preprocessing and visualization techniques, and statistical testing.

deep-learning

deep-learning-1

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

ebooks

Collection of Ebooks (pdf)