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datascienceresources

List of Books, Courses and other material for Data Science which I found useful

django-chat-app

django-login-with-email

Django log in and signup with email not username

ds-career-resources

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

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

ds_resources

Data Science Resources

education

Code from educational videos and articles

freecodecamp-projects

Collection of all projects and certifications I completed from the freeCodeCamp Curriculum

genopheno

Prediction of phenotype from genotype

healthcare_ml

A curated list of ML|NLP resources for healthcare.

i2b2_2009-to-conll

interviews

Everything you need to know to get the job.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

keras-bert

A simple technique to integrate BERT from tf hub to keras

learningscalamaterials

Supplementary materials for the "Learning Scala" book from O'Reilly Media

leetcode

🎓Leetcode solutions in Python 📚

leetcode-1

👏🏻 leetcode solutions for Humans™

leetcode-2

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

leetcode-patterns

A curated list of leetcode questions grouped by their common patterns

leetcode_company_frequency

Collection of leetcode company tag problems. Periodically updating.

linghu-algorithm-templete

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

machine-learning-study-materials

Books for ML and Data Science

medical-data

mimic_bow

Predict hospital readmission with discharge summaries

ml-cheatsheet

Machine learning cheatsheet

ml-cheatsheet-1

A constantly updated python machine learning cheatsheet

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

named-entity-recognition-bidirectionallstm-cnn-conll

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

named-entity-recognition-with-bidirectional-lstm-cnns

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs