6935 Open source projects that are alternatives of or similar to Mli Resources

Python tools for data analysis

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

PyMC3 educational resources

Create HTML profiling reports from pandas DataFrame objects

The blog post about Kubeflow, including all materials

ML.NET Workshop to predict car sales prices

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

brief introduction to Python for machine learning

Practical Data Science with Ruby based tools.

Learn advanced data science on real-life, curated problems

A Julia machine learning framework

My solution to the book A Collection of Data Science Take-Home Challenges

A book about machine learning, statistics, and data mining for heliophysics

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Resources for weekly Data Science Lunch & Learns

USC urban data science course series with Python and Jupyter

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

MRI analysis using PyTorch and MedicalTorch

The data and code that used in my book.

A collection of personal data science projects

A workshop on data privacy methods for data scientists.

🎓 Jupyter notebooks from UFC data science course

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Word2Vec models with Twitter data using Spark. Blog:

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Teaching materials in python at the @ENSAE

Interactive reports to analyze machine learning models during validation or production monitoring.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

A site that displays up to date COVID-19 stats, powered by fastpages.

🤖⚡️ scikit-learn tips

A collection of Jupyter/IPython notebooks

🍧 A repository that contains courses I have taken on DataCamp

Road to Machine Learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

R package to interface with OpenML

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Koç University deep learning framework.

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

Python training for business analysts and traders

A repo with tutorials for algorithms from scratch

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Best Practices on Recommendation Systems

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

DLTK Model Zoo

Public repository for the PM4Py (Process Mining for Python) project.

Probabilistic reasoning and statistical analysis in TensorFlow

Yet another black-box optimization library for Python

A Handful of D(u)S(t)

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Companion code for the book "Mastering Social Media Mining with Python"

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

阿水的数据竞赛开源分支

An open-source, low-code machine learning library in Python

Data science portfolio

Code for Machine Learning for Algorithmic Trading, 2nd edition.

A library of extension and helper modules for Python's data analysis and machine learning libraries.