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100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

100daysofmlcode

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

awesome-datascience

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

berka

coursera_capstone

The repository is for the IBM Coursera Capstone project

dash-sample-apps

Apps hosted in the Dash Gallery

data-science--cheat-sheet

Cheat Sheets

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-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

datascience

deeplearning-models

A collection of various deep learning architectures, models, and tips

documentation

Plotly's Documentation

flexdashboard

Easy interactive dashboards for R

graphgist

Easy publishing with graph data included

ibm-datascience-specialization-capstone-project

Sentiment Analysis Project developed in order to obtain the IBM Advanced Data Science Specialization Certificate from Coursera.

kaggle-api

Official Kaggle API

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

machinelearninggod

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mlflow

Open source platform for the machine learning lifecycle

neo4j

Graphs for Everyone

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

python

All Algorithms implemented in Python

r

raw

The missing link between spreadsheets and data visualization

rayshader

R Package for 2D and 3D mapping and data visualization

seeing-theory

A visual introduction to probability and statistics.

shiny

Easy interactive web applications with R