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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

2015lab1

a-to-z-resources-for-students

Curated list of resources for college students

accuracy-and-metrics

adv-r

Advanced R programming: a book

advanced-regression-methods

This repository focuses on different linear regression methods which are uncommon.

advanced-shiny

🤹 Shiny tips & tricks for improving your apps and solving common problems

aman492_projects

Data Science projects

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

analytics-edge

The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge)In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. Will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R and a spreadsheet software to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to realworld applications.

analytics-edge-mitx-

In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. This course is about how to use data and analytics to give an edge to your career and your life. Real world examples of how analytics have been used to significantly improve a business or industry is being addressed. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Following analytics methods has been used: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. Statistical software R and a spreadsheet software to build models and work with data is used. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it enabled to apply analytics to real-world applications.

anomalydetection

Anomaly Detection with R

appliedai-workshop-steps

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! 😀)

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

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

awesome-r-learning-resources

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-shiny-extensions

Awesome R packages that offer extended UI or server components for the R web framework Shiny

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

breast-cancer-detection-using-deep-learning

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

case_study

cheatsheets

RStudio Cheat Sheets

cheatsheets-1

clinical-data-science

repo for training materials

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

columbiax-statistical-thinking-for-data-science

This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.

competitions

Codes written for some competitions