Open Machine Learning Course

🍊 📊 💡 Orange: Interactive data analysis

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

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Credit Risk analysis by using Python and ML

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

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.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Explorando aspectos fundamentais da matemática com Python e Jupyter

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

Alpine Container for Machine Learning

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

Data Science with Python

Algorithmic trading using machine learning.

A complete docker package for deploying django which is easy to understand and deploy anywhere.

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python