azalecka's repositories
scala-best-practices
A collection of Scala best practices
warsaw-project-2
Warsaw group | Project 2 | Appointment No-Shows
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
pandas_exercises
Practice your pandas skills!
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.
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
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.
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.
scala-course
Scala for Statistical Computing and Data Science Short Course
probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"