the data science academy
  • Home
  • TRAININGS
  • Contact
  • TRAINERS
  • BLOG
  • OUR AI PRODUCT
  • More
    • Home
    • TRAININGS
    • Contact
    • TRAINERS
    • BLOG
    • OUR AI PRODUCT
the data science academy
  • Home
  • TRAININGS
  • Contact
  • TRAINERS
  • BLOG
  • OUR AI PRODUCT

Welcome

There's much to see here. So, take your time, look around, and experiment for free. We will be adding more resources here. Feel free to suggest your favorite content -specially if is yours-.

Send us your repo

OUR FAVORITE GITHUB RESPOITORIES

Data Analysis and Visualization

Our favorites about analyzing and visualizing data

Machine Learning in Power BI with Python

ML in Power BI with Python


Execute any Python script within Power BI and perform Machine Learning.

Atoti

Atoti 


Data Analytics platform with a best-in-class calculation engine, a visualization suite, and a real-time OLAP cube — all rolled into one. Atoti is made by ActiveViam, which includes a free Community Edition. 

PyCaret

PyCaret


Low Code python libary to perform Machine Learning

PyGWalker

PyGWalker


Simplify your Jupyter Notebook data analysis and data visualization workflow, by turning your pandas dataframe into an interactive user interface for visual exploration. 

DataPrep

DataPrep


The fastest and the easiest EDA (Exploratory Data Analysis) tool in Python. It allows you to understand a Pandas/Dask DataFrame with a few lines of code in seconds. 


Quant Finance

Applying Python within finance and business repositories

SKFOLIO

skfolio 


Python library for portfolio optimization built on top of scikit-learn. It offers a unified interface and tools compatible with scikit-learn to build, fine-tune, and cross-validate portfolio models. 

QuantStats

QuantStats 


Python library that performs portfolio profiling, allowing quants and portfolio managers to understand their performance better by providing them with in-depth analytics and risk metrics. 

CreditPy

CreditPy


Efficient implementation of credit risk scoring methodologies. It facilitates tasks such as variable analysis, variable selection, model development, model calibration, rating scale development, and model validation quickly and effectively. 

More to come...


Copyright © 2023 the data science academy - All rights reserved

  • Home
  • Privacy Policy

Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

DeclineAccept