kaggleKaggle solutions
Stars: ✭ 17 (-78.21%)
kdsb17Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
Stars: ✭ 18 (-76.92%)
data-visualization-deck-glA experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle
Stars: ✭ 54 (-30.77%)
kaggle-camera-model-identificationCode for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification
Stars: ✭ 64 (-17.95%)
kaggle-plasticcSolution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (-35.9%)
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (-43.59%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (-65.38%)
lux-ai-2021My published benchmark for a Kaggle Simulations Competition
Stars: ✭ 29 (-62.82%)
Kaggle-Competition-SberbankTop 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Stars: ✭ 31 (-60.26%)
kaggledatasetsCollection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
Stars: ✭ 44 (-43.59%)
kaggle-airbnb🌍 Where will a new guest book their first travel experience?
Stars: ✭ 53 (-32.05%)
intel-cervical-cancerTeam GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch.
Stars: ✭ 19 (-75.64%)
fastknnFast k-Nearest Neighbors Classifier for Large Datasets
Stars: ✭ 64 (-17.95%)
kuzushiji-recognitionKuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
Stars: ✭ 16 (-79.49%)
kaggle-toolsSome tools that I often find myself using in Kaggle challenges.
Stars: ✭ 33 (-57.69%)
rawrExtract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.
Stars: ✭ 15 (-80.77%)
PracticalMachineLearningA 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.
Stars: ✭ 60 (-23.08%)
data-science-learning📊 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.
Stars: ✭ 32 (-58.97%)
PyData-Pseudolabelling-KeynoteAccompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
Stars: ✭ 23 (-70.51%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-2.56%)
Data-Science-ProjectsData 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
Stars: ✭ 28 (-64.1%)
ferFacial Expression Recognition
Stars: ✭ 32 (-58.97%)
Algorithmml & dl & kaggle
Stars: ✭ 24 (-69.23%)
d2l-javaThe Java implementation of Dive into Deep Learning (D2L.ai)
Stars: ✭ 94 (+20.51%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-78.21%)
Data-Science-ArticlesA collection of my blogs on Data Science and Machine learning.
Stars: ✭ 66 (-15.38%)
QuoraKaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations
Stars: ✭ 36 (-53.85%)
argus-tgs-saltKaggle | 14th place solution for TGS Salt Identification Challenge
Stars: ✭ 73 (-6.41%)
kaggle-codeA repository for some of the code I used in kaggle data science & machine learning tasks.
Stars: ✭ 100 (+28.21%)
kaggle-quora-question-pairsMy solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).
Stars: ✭ 104 (+33.33%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-70.51%)