pappakrishnan
Data Scientist; PhD in Physics; MS in Electrical Engineering; MS in Applied Physics;
United States
Pinned Repositories
Ads-Analysis
Recommendation system: Identify top 5 ad campaigns out of 40 in the dataset. Provide recommendations to improve the performance
Computational-Methods
Mathematical modeling - Numerical methods: To solve problems with no analytical solution.
Data-Science-Take-Home-Challenges
A list of take home challenges for data science interviews I've compiled
Driver-signup-modeling-and-prediction
Driver-signup modeling and prediction
Employee-Churn-Analysis
Machine learning model for predictive employee churn and also identify important parameters
HP-filter
HP Filter implementation
NYC-Taxi-Statistics
Statistical Analysis of NYC Taxi GPS data
NYC_Bike_Statistics
Statistical Analysis of NYC Bike Usage Statistics
Salary-Prediction-Algorithm
Salary prediction algorithm implementation using Python
SRM_18CSE398J
Repository for submitting assignments and projects
pappakrishnan's Repositories
pappakrishnan/SRM_18CSE398J
Repository for submitting assignments and projects
pappakrishnan/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
pappakrishnan/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
pappakrishnan/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
pappakrishnan/coding-interview-university
A complete computer science study plan to become a software engineer.
pappakrishnan/design-resources-for-developers
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
pappakrishnan/developer-roadmap
Roadmap to becoming a web developer in 2021
pappakrishnan/Python
All Algorithms implemented in Python
pappakrishnan/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
pappakrishnan/tech-interview-handbook
💯 Materials to help you rock your next coding interview
pappakrishnan/the-art-of-command-line
Master the command line, in one page
pappakrishnan/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! 😀)
pappakrishnan/awesome-talks
Awesome online talks and screencasts
pappakrishnan/beautiful-docs
Pointers to useful, well-written, and otherwise beautiful documentation.
pappakrishnan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pappakrishnan/Hands-on-Machine-Learning-for-Cyber-Security
Hands-On Machine Learning for Cybersecurity, published by Packt
pappakrishnan/ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
pappakrishnan/nlp
:memo: This repository recorded my NLP journey.
pappakrishnan/Notebooks_SparkML
pappakrishnan/OpenAIWorkshop
workshop materials to build intelligent solutions on Open AI
pappakrishnan/pappakrishnan.github.io
pappakrishnan/Practical_TS_Talk
Material for SF ACM Chapter talk on 10/28
pappakrishnan/programming-talks
Awesome & interesting talks about programming
pappakrishnan/Prompt-Engineering-Guide
:octopus: Guides, papers, lecture, and resources for prompt engineering
pappakrishnan/selectolax
Python bindings to Modest engine (fast HTML5 parser with CSS selectors).
pappakrishnan/SQL-DataScientists
This repository contains the SQL queries and files associated with the book SQL for DataScientists
pappakrishnan/system-design-interview
System design interview for IT companies
pappakrishnan/TimeSeries
Implementation of deep learning models for time series in PyTorch.
pappakrishnan/turicreate
Turi Create simplifies the development of custom machine learning models.
pappakrishnan/wordpress-comment-blacklist
A simple solution for WordPress comment spam.