Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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

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.

📢 Ready to learn or review your knowledge!

阿水的数据竞赛开源分支

Sample notebooks for Kaggle competitions

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.

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

Pytorch starter kit for Kaggle competitions

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

Solution to Kaggle - Web Traffic Time Series Forecasting

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

A community run, 5-day PyTorch Deep Learning Bootcamp

Kaggle Segmentation Challenge

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

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

How to do data science with Optimus, Spark and Python.

Time Series Anomaly Detection Toolkit

Create HTML profiling reports from pandas DataFrame objects

Interview = 简历指南 + LeetCode + Kaggle