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This repository contains my solutions to different Kaggle competitions and Datasets. It also includes kernels and techniques implemented and recreated by me.

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Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
Severstal_Steel_Defect_Detection		Severstal_Steel_Defect_Detection
Twitter Sentiment Extraction		Twitter Sentiment Extraction
Best_Custom_Callbacks.ipynb		Best_Custom_Callbacks.ipynb
Blue_Book_for_Bulldozers_Random_Forest.ipynb		Blue_Book_for_Bulldozers_Random_Forest.ipynb
California_Housing_Prices.ipynb		California_Housing_Prices.ipynb
Categorical_Encoding_2_Libffm_Stratified.ipynb		Categorical_Encoding_2_Libffm_Stratified.ipynb
Cats_Vs_Dogs.rar		Cats_Vs_Dogs.rar
Diabetes using Ensemble.ipynb		Diabetes using Ensemble.ipynb
Dict to Excel.ipynb		Dict to Excel.ipynb
Digit_Recognizer_Perfect_100_.ipynb		Digit_Recognizer_Perfect_100_.ipynb
Dont_Overfit_II.ipynb		Dont_Overfit_II.ipynb
Fashion_MNIST_using_Simple_DNN.ipynb		Fashion_MNIST_using_Simple_DNN.ipynb
Handbook for Out of Fold Prediction.ipynb		Handbook for Out of Fold Prediction.ipynb
Machine Learning Explainability.ipynb		Machine Learning Explainability.ipynb
README.md		README.md
[Pytorch_Training]_SIIM_Melanoma_GPU_Starter_(1).ipynb		[Pytorch_Training]_SIIM_Melanoma_GPU_Starter_(1).ipynb
dateparser.7z		dateparser.7z
future.7z		future.7z
how-to-import-a-csv-file-of-55-million-rows.ipynb		how-to-import-a-csv-file-of-55-million-rows.ipynb
how-to-work-with-big-datasets-on-16g-ram-dask.ipynb		how-to-work-with-big-datasets-on-16g-ram-dask.ipynb
jupyterthemes.7z		jupyterthemes.7z
movie_reviews.7z		movie_reviews.7z
prophet_split.7z.001		prophet_split.7z.001
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prophet_split.7z.003		prophet_split.7z.003
prophet_split.7z.004		prophet_split.7z.004
pycorenlp.7z		pycorenlp.7z
pycountry.7z		pycountry.7z
pylda.7z		pylda.7z
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site-packages1.7z.007		site-packages1.7z.007
thinc.7z		thinc.7z

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Kaggle-Kernels

Kaggle is an online community of data scientists and machine learners, owned by Google, Inc. 
Kaggle allows users to find and publish data sets, explore and build models in a web-based 
data-science environment, work with other data scientists and machine learning engineers, 
and enter competitions to solve data science challenges.

Objective

The purpose this repository serves is it contains my implementation or re-implementation of Kaggle Kernels.

* Kaggle Competitions

* Kaggle Datasets

* Kaggle Data Notes

* Kaggle Learn

Competitions

Kaggle Learn

Kaggle Datasets

Diabetes

About

This repository contains my solutions to different Kaggle competitions and Datasets. It also includes kernels and techniques implemented and recreated by me.

data-science machine-learning natural-language-processing computer-vision deep-learning kaggle kaggle-competition kaggle-scripts kaggle-data-science

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