HealthcheckHealth Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
Stars: ✭ 35 (-90.3%)
Deeptoxictop 1% solution to toxic comment classification challenge on Kaggle.
Stars: ✭ 180 (-50.14%)
Data Analysis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。
Stars: ✭ 142 (-60.66%)
Ds Take HomeMy solution to the book A Collection of Data Science Take-Home Challenges
Stars: ✭ 1,004 (+178.12%)
Deepfake DetectionDeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
Stars: ✭ 23 (-93.63%)
Kaggle HousepricesKaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
Stars: ✭ 113 (-68.7%)
ChallengesPyBites Code Challenges
Stars: ✭ 604 (+67.31%)
Face Mask DetectionFace Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Stars: ✭ 774 (+114.4%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+1778.95%)
Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
Stars: ✭ 119 (-67.04%)
Ds bowl 2018Kaggle Data Science Bowl 2018
Stars: ✭ 116 (-67.87%)
Girls In Ai免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Stars: ✭ 2,309 (+539.61%)
Ml Fraud DetectionCredit card fraud detection through logistic regression, k-means, and deep learning.
Stars: ✭ 117 (-67.59%)
Allstate capstoneAllstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-80.06%)
Dog Breeds ClassificationSet of scripts and data for reproducing dog breed classification model training, analysis, and inference.
Stars: ✭ 105 (-70.91%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (-56.51%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (-4.16%)
MlkatasA series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills
Stars: ✭ 58 (-83.93%)
TutorialsCatBoost tutorials repository
Stars: ✭ 563 (+55.96%)
InterviewInterview = 简历指南 + LeetCode + Kaggle
Stars: ✭ 7,207 (+1896.4%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-90.3%)
Kaggle CompetitionsThere 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.
Stars: ✭ 86 (-76.18%)
Fraud DetectionCredit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Stars: ✭ 58 (-83.93%)
GatherSpit shine for Jupyter notebooks 🧽✨
Stars: ✭ 355 (-1.66%)
Spec augment🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Stars: ✭ 354 (-1.94%)
ProsprProSPr: Protein Structure Prediction
Stars: ✭ 355 (-1.66%)
GraphgymPlatform for designing and evaluating Graph Neural Networks (GNN)
Stars: ✭ 344 (-4.71%)
Senator FilingsScrape public filings of the buy + sell orders of U.S. senators and calculate their returns
Stars: ✭ 356 (-1.39%)
Meta RlImplementation of Meta-RL A3C algorithm
Stars: ✭ 355 (-1.66%)
Pytorch TvmiscTotally Versatile Miscellanea for Pytorch
Stars: ✭ 354 (-1.94%)
Commuter🚎 Notebook sharing hub
Stars: ✭ 353 (-2.22%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Stars: ✭ 356 (-1.39%)