2506 Open source projects that are alternatives of or similar to Deep Learning Wizard

Open Machine Learning Course

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

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

Python Cheat Sheet NumPy, Matplotlib

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

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

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A collection of notebooks of my Machine Learning class written in python 3

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

Alpine Container for Machine Learning

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

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

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

⭐ An anomaly-based intrusion detection system.

📚 Various cheatsheets in PDF

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

Use AI to generate a optimized stock portfolio

Data Science with Python

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.

For extensive instructor led learning

Parallel computing with task scheduling

Credit Risk analysis by using Python and ML

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

🍊 📊 💡 Orange: Interactive data analysis

SADDLE: Scala Data Library

2.5k code solutions with clear explanation @ onelinerhub.com

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

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.

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

My dataquest project solutions

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

Fast data store for Pandas time-series data

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

No description or website provided.

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

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

ADAM - A Question Answering System. Inspired from IBM Watson

Awesome Spectral Indices in Python.

A library for managing, validating, summarizing, and visualizing data.

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

Library packs for google cloud functions

My workshop on machine learning using python language to implement different algorithms

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 Tutorials for Data Science

A guide to getting started with Data Science and ML.

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

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

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

A library for performing hyperparameter optimization

This repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

《利用Python进行数据分析·第2版》

SciKIt-learn Pipeline in PAndas

机器学习数据，预测趋势并画图

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Content from the University of British Columbia's Master of Data Science course DSCI 511.