Shekhar Dewan's repositories
tech-interview-handbook
💯 Materials to help you rock your next coding interview
100-Days-Of-ML-Code
100 Days of ML Coding
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
AI
Microsoft AI
algorithms-python
Minimal examples of data structures and algorithms in Python
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Canadian-Tech-Internships-Summer-2020
Crowdsourced list of Canadian tech companies that are hiring interns for Summer 2020
daaas
Documentation for the Data Analytics as a Service Platform
dakshina
The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.
Data-Analysis
Data Science Using Python
datasets
TFDS is a collection of datasets ready to use with TensorFlow
fully_convolutional_network-1
Building, training and deploying a fully convolutional neural network in TensorFlow
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
lessons
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
MLHumanitiesCourse
CodeStuff
MLHumanitiesCourseOld
This will be published later
personal-site
My personal website - built with React, React-Router, Express, and Webpack.
pyprobml
Python code for "Machine learning: a probabilistic perspective"
Python
All Algorithms implemented in Python
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
spinningup
An educational resource to help anyone learn deep reinforcement learning.
summer2020internships
Keep track of internships for Summer 2020 for undergraduates interested in tech./SWE/related fields
tydiqa
TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.