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

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

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

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

Python Tutorials for Data Science

No description or website provided.

Library packs for google cloud functions

SADDLE: Scala Data Library

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

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.

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 dynamic microsimulation framework for python

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

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

2.5k code solutions with clear explanation @ onelinerhub.com

Awesome Spectral Indices in Python.

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

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

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

No description or website provided.