AnneshaChowdhury
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Contains system design materials to prepare for system design interviews 🚩👨💻👨💻👨💻
This repo contains the notes of different data structures and important questions which would help in acing interview rounds.
A Spotify API to collect data from users played musics
Notes on books I read, talks I watch, articles I study, and papers I love
Contains all the 117 Leetcode questions with their solutions ranging from Easy to Hard in MySQL.
*Summary of 102 LeetCode SQL questions* This note aims to help people learn and review SQL efficiently. The first draft mainly focuses on T-SQL/MS SQL Server.
Best Python and Javascript solutions with explanation.
⭐️ Companies that don't have a broken hiring process
Digital garden built using Astro, Obsidian, and other goodies.
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
These are the regexes that power truffleHog
Generate releases based on semantic version labels on pull requests.
Learning about and doing projects with recurrent neural networks
👩🏫 Advanced NLP with spaCy: A free online course
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
List of Data Science Cheatsheets to rule the world
A curated list of awesome Machine Learning frameworks, libraries and software.
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 …
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
Little time-series forecasting app for fun! More models/methods will be included after the june 15! Link: jasonliushiny.shinyapps.io/Forcast/
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
📊 Path to a free self-taught education in Data Science!