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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

amexpert_ml_hackathon_2019_winners_soultions

applied-text-mining-in-python

Repo for Applied Text Mining in Python (coursera) by University of Michigan

applied-text-mining-in-python-1

applied text mining in python (coursera course)

av-wns

Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

bengaliai

Repo for code used in top 10% solution

big-mart-sales

big_mart_problem

breast_cancer_prediction

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

competitive-data-science-1

How to Win a Data Science Competition: Learn from Top Kagglers

course-v3

The 3rd edition of course.fast.ai

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

cudf

cuDF - GPU DataFrame Library

data-science--cheat-sheet

Cheat Sheets

data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science-from-linkedin

This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

docs

TensorFlow documentation

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

dsb-2019

Repo for 97th place solution for DSB on Kaggle

dsb2019

https://www.kaggle.com/c/data-science-bowl-2019

efficientnet

Implementation of EfficientNet model. Keras.

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

ericsson-machine-learning-challenge

This repository contains the winning solution of Ericsson Machine Learning Hackathon.

fastai

The fastai deep learning library, plus lessons and tutorials

gm_riiid