Pratik Barjatiya's repositories

courses

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

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AI_Startup_Prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

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awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

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awesome-competitive-programming

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

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aws-shell

An integrated shell for working with the AWS CLI.

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blockchain-papers

A curated list of academic blockchain-related papers

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books

book list

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DailyReturn-LogReturn-CumulativeReturn-in-Python

How to Calculate Daily Return, Log Return & Cumulative Return in Python

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Data-Analysis

Data Analysis Using Python

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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.

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DataSciencePython

common data analysis and machine learning tasks using python

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datasharing

The Leek group guide to data sharing

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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dev-setup

macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

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ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

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git-game

terminal game to test git skills

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LearnDataScience

Open Content for self-directed learning in data science

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learning-apache-spark

Notes on Apache Spark (pyspark)

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LearningApacheSpark

LearningApacheSpark

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maths-for-ml

Notes and solutions for the Mathematics for Machine Learning Specialization

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Michael-s-Data-Science-Curriculum

This is the companion curriculum to my guide to becoming a data scientist.

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mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

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pandas_exercises

Practice your pandas skills!

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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pyspark

PySpark Code for Hands-on Learners

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RepData_PeerAssessment1

Peer Assessment 1 for Reproducible Research

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Tableau

Materials for Tableau

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the-art-of-command-line

Master the command line, in one page

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vimrc

The ultimate Vim configuration: vimrc

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