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awesome-machine-learning

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

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

meetup2_supervisedlearning

Meetup 2: Introduction to Supervised Machine Learning

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

pandas_exercises

Practice your pandas skills!

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

scala-best-practices

A collection of Scala best practices

scala-course

Scala for Statistical Computing and Data Science Short Course

statistics-for-data-science

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

udacity-data-engineering-projects

Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

udemy-scala-beginners

warsaw-project-2

Warsaw group | Project 2 | Appointment No-Shows