386 Open source projects that are alternatives of or similar to sklearn-feature-engineering

Fast k-Nearest Neighbors Classifier for Large Datasets

a solution for competition of kaggle `Human or Robot`

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

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Paraphrase question identification using Feature Fusion Network (FFN).

Material of the Kaggle Berlin meetup group!

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

Code for Kaggle and Offline Competitions

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

No description or website provided.

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

LAMA - automatic model creation framework

Code for Kaggle Data Science Competitions

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.

从零基础开始机器学习之旅

Open solution to the Home Credit Default Risk challenge 🏡

📢 Ready to learn or review your knowledge!

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Exemplary, annotated machine learning pipeline for any tabular data problem.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Kaggle getting started competition examples

7th Place Solution for Jigsaw Unintended Bias in Toxicity Classification on Kaggle

Kaggle 2018 @ Human Protein Atlas Image Classification

The Java implementation of Dive into Deep Learning (D2L.ai)

16th place solution of the Kaggle Statoil/C-CORE Iceberg Classifier Challenge

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

SciKIt-learn Pipeline in PAndas

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Kaggle competition

demonstrating use of convolution neural networks to detect objects in a video

DataHub - Synthetic data library

simple tutorial on Machine Learning with Scikitlearn

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Satellite Imagery Feature Detection (68 out of 419)

Some tools that I often find myself using in Kaggle challenges.

Icicle Streaming Query Language

A experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Summary of the Kaggle Stock Prediction Competition & my Trial

10th place solution to the $1,500,000 Kaggle Passenger Screening Challenge sponsored by the Department of Homeland Security.

Spark 2.0 Scala Machine Learning examples

19th place solution in "Predicting Molecular Properties"

This repository contains notes and projects of Data scientist track from dataquest course work.

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Kai Sheng Teh - Udacity Data Analyst Nanodegree

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

Engine X - 实时AI智能决策引擎、规则引擎、风控引擎、数据流引擎。 通过可视化界面进行规则配置，无需繁琐开发，节约人力，提升效率，实时监控，减少错误率，随时调整； 支持规则集、评分卡、决策树，名单库管理、机器学习模型、三方数据接入、定制化开发等；

A Streamlit application to play with machine learning models directly from the browser

A schema-aware Scala library for data transformation

fast.ai starter kit for Google Landmark Retrieval 2019 challenge

Time Series Decomposition techniques and random forest algorithm on sales data

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

A repository for some of the code I used in kaggle data science & machine learning tasks.

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Kaggle solutions