1826 Open source projects that are alternatives of or similar to Iml

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

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

Open Machine Learning Course

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

For extensive instructor led learning

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

Alpine Container for Machine Learning

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

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.

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

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

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

Use AI to generate a optimized stock portfolio

Credit Risk analysis by using Python and ML

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

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

🍊 📊 💡 Orange: Interactive data analysis

Data Science with Python

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

Parallel computing with task scheduling

Python Cheat Sheet NumPy, Matplotlib

📚 Various cheatsheets in PDF

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

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

This is Andrew NG Coursera Handwritten Notes.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

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

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

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Explorando aspectos fundamentais da matemática com Python e Jupyter

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Type System for Data Analysis in Python

A New, Interactive Approach to Learning Data Visualization

中传信安专业必修课 - Linux系统与网络管理 课件

Docker Start Guide with Python Development Environment

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

ADAM - A Question Answering System. Inspired from IBM Watson

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

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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

Distributed scikit-learn meta-estimators in PySpark

《利用Python进行数据分析·第2版》

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

notebooks with example for machine learning examples

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Precompiled packages for AWS Lambda

Wavelet scattering transforms in Python with GPU acceleration

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.