736 Open source projects that are alternatives of or similar to kaggledatasets

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.

Solution of the Titanic Kaggle competition

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

📊 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.

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

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

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

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

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.

Pin, Discover and Share Resources

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

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Discourse Based Evaluation of Language Understanding

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

This is our team's solution report, which achieves top 10% (305/3307) in this competition.

Tool for autodownloading recommendation systems datasets

திருக்குறள் by திருவள்ளுவர்.

Compilation of good Kaggle Kernels.

SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

2019년 민족사관고등학교 졸업 프로젝트

REST API (and possible UI) for Machine Learning workflows

Dagpi is a powerful and fast api that does image manipulation as well as serves datasets. It is fast and written in rust and python. Perfect for discord bots, social media apps, camera apps and more.

A duplicate-free variant of the CIFAR test set.

Kaggle "Microsoft Malware Classification Challenge". 6th place solution

Scripts to run and benchmark scRNA-seq cell cluster labeling methods

Functional data science

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Information of public available data sets for biomechanics.

おーぷん2ちゃんねるをクロールして作成した対話コーパス

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A collection of my blogs on Data Science and Machine learning.

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

My textbook for teaching Machine Learning

6th place solution for Recruit-Restaurant-Visitor-Forecasting

Google PlayStore App dataset. (2.3 million App Data) and 24 attributes

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

A collection of publicly available bug reports

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

Content Based Music Recommendation Service

Machine learning in Python with scikit-learn MOOC

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

🌍 Where will a new guest book their first travel experience?

Meta-analytic datasets for R

Explore machine learning models. Leveraging scikit-learn's models and exposing their behaviour through API

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Polyaxon Core Client & CLI to streamline MLOps

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Official repository of Learning Multi-Human Optical Flow (IJCV 2019)

Kaggle | 14th place solution for TGS Salt Identification Challenge

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…

🤓🔮🔬 Emoji prediction from a text using machine learning

Open solution to the Cdiscount’s Image Classification Challenge

CNN histopathologic tumor identifier.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Material of the Kaggle Berlin meetup group!

Pedestrian Detection using Non Maximum Suppression