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Shaily Saigal's Projects

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Traffic Violation by County

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! πŸ˜€)

awesome-etl icon awesome-etl

A curated list of awesome ETL frameworks, libraries, and software.

awesome-nlp icon awesome-nlp

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

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

beyond-leetcode-sql icon beyond-leetcode-sql

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

courses icon courses

Quiz & Assignment of some courses I learned.

courses-1 icon courses-1

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dm-flow icon dm-flow

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

handson-ml icon 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.

intro-to-data-science-in-python icon intro-to-data-science-in-python

Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera

introduction_to_ml_with_python icon introduction_to_ml_with_python

λ„μ„œ "[κ°œμ •νŒ] 파이썬 라이브러리λ₯Ό ν™œμš©ν•œ λ¨Έμ‹  λŸ¬λ‹"의 μ£Όν”Όν„° λ…ΈνŠΈλΆκ³Ό μ½”λ“œμž…λ‹ˆλ‹€.

islr-python icon islr-python

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

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