cracking-the-coding-interview

Python solutions for the book Cracking the Coding Interview

crashdata

Pulling historical data on plane crashes from planecrashinfo.com

cupy

NumPy-like API accelerated with CUDA

customerchurn

dalex

Descriptive mAchine Learning EXplanations

dash

Analytical Web Apps for Python. No JavaScript Required.

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science--cheat-sheet

Cheat Sheets

data-science-from-linkedin

This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.

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-question-answer

A repo for data science related questions and answers

data-science-with-spark

Machine Learning and Data Analysis Case Studies using Spark.

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

data_visualization_python_first_project_vivek

data_visualization_python_second_project_vivek

This repository is about second project for the class "Data Visualization".

datacamp

DataCamp data-science courses

dataengineering-bash-sql

This repository aims to writing useful bash scripts and sql commands / snippets that I will be using for my "Data Engineering" class. All these scripts will be tested on Google Cloud Shell. Feel free to hop in and help me improve.

datasciencepython

common data analysis and machine learning tasks using python

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

decision-tree-machine-learning

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

diagrams

:art: Diagram as Code for prototyping cloud system architectures

etl_with_python

ETL with Python - Taught at DWH course 2017 (TAU)

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

featuretools

automated feature engineering