OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

This is about learning data scientist with Python 2019 and some new updated courses in DataCamp. All the answers given written by myself

Challenge to job: Data Scientist

A Flexible, Modular ML Experiment Framework

A tool by which the debates from the Dutch Parliament (Tweede Kamer) becomes available for Data Research.

ToolBox to help the data scientist analytical work.

Repositorio de manuales y recursos del entrenamiento "Data Scientist en Python" realizado por Leonardo J. Caballero G.

This analysis made by orders, geolocation, payments, seller, and products datasets. The aim of this project is finding the Top 10 products and sellers, analysis of orders by their geolocation and obtain information about Brazilian's online e-commerce profiles.

A deep learning tool which helps data scientist and deep learning engineer quickly and efficiently setup experiment for time series data modelling and prediction, using Keras(with Tensorflow backend)

Analysis of the 2019 Stack Overflow Survey Data

Analyzing mortality data is essential to understanding the complex circumstances of death across the country.

Sample Sales Data, Order Info, Sales, Customer, Shipping, etc., Used for Segmentation, Customer Analytics, Clustering and More. Inspired for retail analytics. This was originally used for Pentaho DI Kettle, But I found the set could be useful for Sales Simulation training.