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followers: 65.0 following: 64.0 repos: 60.0 gists: 3.0

Name: Shekhar Dewan

Type: User

Bio: Data Scientist

Location: Toronto, ON

Shekhar Dewan's Projects

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithms-python

Minimal examples of data structures and algorithms in Python

algs4

Algorithms, 4th edition textbook code and libraries

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

canadian-tech-internships-summer-2020

Crowdsourced list of Canadian tech companies that are hiring interns for Summer 2020

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

daaas

Documentation for the Data Analytics as a Service Platform

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

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasets

TFDS is a collection of datasets ready to use with TensorFlow

deep-learning-deliberate-practice

Deliberate Practice for Learning Deep Learning

example-code-2e

Example code for Fluent Python, 2nd edition

facebook-ad-detector

A research project to be able to detect Facebook desktop news feed ads visually

fastai

The fastai deep learning library, plus lessons and and tutorials

fully_convolutional_network-1

Building, training and deploying a fully convolutional neural network in TensorFlow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

how-to-learn-deep-learning

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

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"

introtoaiclass

Some assignments from my intro to AI class. Warning: Horrible Code Practices

islr-python

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

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