A dynamic microsimulation framework for python

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

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🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

This repository contains notes and projects of Data scientist track from dataquest course work.

Library packs for google cloud functions

2.5k code solutions with clear explanation @ onelinerhub.com

Python Tutorials for Data Science

SADDLE: Scala Data Library

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

A guide to getting started with Data Science and ML.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Awesome Spectral Indices in Python.

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.