6671 Open source projects that are alternatives of or similar to 4th Place Home Credit Default Risk

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

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Allstate Kaggle Competition ML Capstone Project

深度学习在推荐系统中的应用及论文小结。

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.

A community run, 5-day PyTorch Deep Learning Bootcamp

数据科学竞赛知识、代码、思路

¡Camino a una educación autodidacta en Ciencia de Datos!

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Quiz & Assignment of Coursera

H2O.ai Machine Learning Interpretability Resources

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

food image to recipe with deep convolutional neural networks.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Ways of doing Data Science Engineering and Machine Learning in R and Python

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Efficient Learning of Augmentation Policy Schedules

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

CatBoost tutorials repository

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

📘 The interactive computing suite for you! ✨

Automatic extraction of relevant features from time series:

A simple probabilistic programming language.

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Completed assignments and coding challenges from the Lambda School Data Science program.

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

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.

Curso de Introducción a Machine Learning con Python

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

Data Science Best Practices with pandas

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

The 3rd edition of course.fast.ai

An intro to Python & programming for wanna-be data scientists

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

猫狗大战

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Temporary home for fastai v2 while it's being developed

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Support content for my blog

Feature exploration for supervised learning

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

An ongoing list of pandas quirks

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.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Quiz & Assignment of Coursera

The "Python Machine Learning (2nd edition)" book code repository and info resource

The Hitchhiker's Guide to Data Science for Social Good

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras