5996 Open source projects that are alternatives of or similar to Kaggle Titanic

strip output from Jupyter and IPython notebooks

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

Pytest in IPython notebooks.

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.

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Sample notebooks for Kaggle competitions

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery

A py.test plugin to validate Jupyter notebooks

Code and Examples for Relevant Search

Scipy Cookbook

Kaggle Segmentation Challenge

Tutorial on Using Pandas

An IPython notebook plugin for visualizing ASTs.

📊 Algorithm Visualizer for IPython/Jupyter Notebook

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Solution to Kaggle - Web Traffic Time Series Forecasting

📢 Ready to learn or review your knowledge!

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Jupyter for Visual Studio Code

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

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

My kaggle competition solution and notebook

A community run, 5-day PyTorch Deep Learning Bootcamp

Instructional notebooks on music information retrieval.

阿水的数据竞赛开源分支

Jupyter/IPython notebooks about evolutionary computation.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

Telegram notification with IPython magics.

Learn advanced data science on real-life, curated problems

A collection of Jupyter/IPython notebooks

Ansible role to setup jupyterhub server (deprecated)

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

WebRTC for Jupyter notebook/lab

Pytorch starter kit for Kaggle competitions

IPython Notebooks to learn Python

CatBoost tutorials repository

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

An introduction to network analysis and applied graph theory using Python and NetworkX

Search inside YouTube videos using natural language

cuGraph - RAPIDS Graph Analytics Library

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Evaluation of the CNN design choices performance on ImageNet-2012.

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

Stock Price Prediction using Machine Learning Techniques

Shapash makes Machine Learning models transparent and understandable by everyone

A collection of miscellaneous thoughts that aren't on my blog.

MLOps examples

Data Hacking Project

Getting started with soccer analytics

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

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Learn how to responsibly deliver value with ML.