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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.

appliedaicourse

appliedaicourse-1

Notes from appliedaicourse

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

ccplusplus-project

Algorithms coded in CC++

character_segmentation

Segmenting Handwritten Paragraphs into Characters

codebook

Reference material for ACM-ICPC

codes

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep-learning

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deeptoxic

top 1% solution to toxic comment classification challenge on Kaggle.

deslantimg

The deslanting algorithm sets text upright in images. CPU and GPU implementation provided.

educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

end2end-all-conv

End-to-end training for breast cancer diagnosis using deep all convolutional networks

exceptional_handling

fashion-mnist-with-keras

A series of Jupyter Notebooks which build a simple CNN model which is trained using the Fashion MNIST dataset

fsociety

fsociety Hacking Tools Pack – A Penetration Testing Framework

gdrl

Code to go along with the Grokking Deep Reinforcement Learning book

handwriting-ocr

OCR software for recognition of handwritten text

handwriting-recognition

Recognize handwriting | Digitize characters

how-to-score-0.8134-in-titanic-kaggle-challenge

Solution of the Titanic Kaggle competition

iciar2018

Our solution for ICIAR 2018 Grand Challenge

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

learndatascience

Open Content for self-directed learning in data science

lectures

Oxford Deep NLP 2017 course

leetcode

Python & JAVA Solutions for Leetcode

leetcode-1

LeetCode Problems' Solutions

machine-learning-cn

COGNIZANCE - Machine Learning Course @ Coding Ninjas - January'18