kaggleKaggle solutions
Stars: ✭ 17 (-41.38%)
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 (+196.55%)
Kaggle Homedepot3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Stars: ✭ 452 (+1458.62%)
StoreItemDemand(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Stars: ✭ 24 (-17.24%)
HumanOrRobota solution for competition of kaggle `Human or Robot`
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kaggler🏁 API client for Kaggle
Stars: ✭ 50 (+72.41%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (+1093.1%)
SegmentationTensorflow implementation : U-net and FCN with global convolution
Stars: ✭ 101 (+248.28%)
ferFacial Expression Recognition
Stars: ✭ 32 (+10.34%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-41.38%)
Data Science CompetitionsGoal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Stars: ✭ 572 (+1872.41%)
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 (+441.38%)
argus-tgs-saltKaggle | 14th place solution for TGS Salt Identification Challenge
Stars: ✭ 73 (+151.72%)
digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Stars: ✭ 27 (-6.9%)
fastknnFast k-Nearest Neighbors Classifier for Large Datasets
Stars: ✭ 64 (+120.69%)
audiotagging20196th place solution to Freesound Audio Tagging 2019 kaggle competition
Stars: ✭ 21 (-27.59%)
kaggle-toolsSome tools that I often find myself using in Kaggle challenges.
Stars: ✭ 33 (+13.79%)
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 (-44.83%)
lux-ai-2021My published benchmark for a Kaggle Simulations Competition
Stars: ✭ 29 (+0%)
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 (+6.9%)
data-visualization-deck-glA experiment to visualize Tree in NewYork and Flight record data. Using Deck.gl and Kaggle
Stars: ✭ 54 (+86.21%)
rawrExtract raw R code directly from webpages, including Github, Kaggle, Stack Overflow, and sites made using Blogdown.
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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 (+106.9%)
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 (+10.34%)
kaggle-camera-model-identificationCode for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification
Stars: ✭ 64 (+120.69%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (+162.07%)
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 (-20.69%)
kaggle-quora-question-pairsMy solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).
Stars: ✭ 104 (+258.62%)
automated-essay-gradingSource code for the paper A Memory-Augmented Neural Model for Automated Grading
Stars: ✭ 101 (+248.28%)
kaggle-plasticcSolution to Kaggle's PLAsTiCC Astronomical Classification Competition
Stars: ✭ 50 (+72.41%)
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 (-3.45%)
Algorithmml & dl & kaggle
Stars: ✭ 24 (-17.24%)
KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
Stars: ✭ 26 (-10.34%)
d2l-javaThe Java implementation of Dive into Deep Learning (D2L.ai)
Stars: ✭ 94 (+224.14%)