291 Open source projects that are alternatives of or similar to kaggle_getting_started

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Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

MLBox is a powerful Automated Machine Learning python library.

Open solution to the Home Credit Default Risk challenge 🏡

Earthquake Prediction Challenge with LightGBM and XGBoost

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

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Show how to perform fast retraining with LightGBM in different business cases

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a solution for competition of kaggle `Human or Robot`

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Material of the Kaggle Berlin meetup group!

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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.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

19th place solution in "Predicting Molecular Properties"

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Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Code for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification

Trading Algorithm by XGBoost

Scalable machine 🤖 learning for time series forecasting.

Source code for the ACL workshop paper and Kaggle competition by Google AI team

My published benchmark for a Kaggle Simulations Competition

Satellite Imagery Feature Detection (68 out of 419)

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

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Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Spark 2.0 Scala Machine Learning examples

Paraphrase question identification using Feature Fusion Network (FFN).

Serverless Inferencing on Kubernetes

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Fast k-Nearest Neighbors Classifier for Large Datasets

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Team GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch.

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

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

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Kaggle을 처음 접하는 사람들을 위한 문서

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

Secure collaborative training and inference for XGBoost.

Rust bindings for XGBoost.

Machine Learning Operator & Controller for Kubernetes

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Automatic machine learning for tabular data. ⚡🔥⚡

Machine Learning University: Decision Trees and Ensemble Methods

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Facial Expression Recognition

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

Kaggle solutions

https://events.kaspersky.com/hackathon/

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Open solution to the Cdiscount’s Image Classification Challenge