anagha-h

anagha-h's Stars

• Devinterview-io/data-processing-interview-questions

  🟣 Data Processing interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

  131

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook10.9k8.3k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9k2k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python278k46.6k

• FrancesCoronel/diversify-me

  A list of tech conferences that provide diversity travel grants/scholarships 💛

  Language:HTML21245

• lukasz-madon/awesome-remote-job

  A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

  35.1k3.9k

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.8k664

• krishnaik06/Data-Science-Projects-For-Resumes

  1.3k421

• poteto/hiring-without-whiteboards

  ⭐️ Companies that don't have a broken hiring process

  Language:JavaScript46.6k3.6k

• hng/tech-coops

  A list of tech coops and resources concerning tech coops and worker owned cooperatives in general.

  2k165

• buildwithmalik/PythonCheatSheet

  A Cheat Sheet 📜 to revise Python syntax. Particularly useful for solving Data Structure and Algorithmic problems with Python.

  828123

• cvrve/Summer2025-Internships

  Collection of Summer 2025 tech internships!

  3.3k117

• mehrdad-dev/makeup-lab

  Makeup with Deep Learning, Apply different hair color on your face! (WebApp)

  Language:Python231

• satyam9090/Comparing-Cosmetics-by-Ingredients

  Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh. Project

  Language:Jupyter Notebook181

• Randon-Myntra-HackerRamp-21/Skyn

  An application that recommends personalised skincare and makeup products based on the skin metrics inferred from user's selfie using computer vision algorithms.

  Language:Jupyter Notebook8124

• yashk2810/google-interview-university

  A complete daily plan for studying to become a Google software engineer.

  9948

• firstcontributions/first-contributions

  🚀✨ Help beginners to contribute to open source projects

  45.7k80.4k

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown314k29.2k

• krishnaik06/6-Months-Data-Science-Roadmap-

  1.8k526

• ryanchynoweth44/DatabricksContent

  Examples surrounding Databricks.

  Language:Jupyter Notebook5623

• hyunjoonbok/PySpark

  PySpark functions and utilities with examples. Assists ETL process of data modeling

  Language:Jupyter Notebook9975

• Olshansk/interview

  Everything you need to prepare for your technical interview

  17.8k3.7k

• jdsutton/Technical-Interview-Megarepo

  Study materials for SE/CS technical interviews

  1.6k231

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  20.7k5.2k

• ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

  7.5k1k

• abhinavsri360/GDSC-Lead-Map

  A map to represent GDSC Leads throughout the globe.

  Language:JavaScript54112

• siddu1998/Graduate-Admissions

  Repository containing SoPs and other reference material for Graduate admission process.

  27228

• pal-16/DSA-CoreSubjects-Curated-Resources

  10

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  206k26.9k

• facebookresearch/dynalab

  The Python library with command line tools to interact with Dynabench(https://dynabench.org/), such as uploading models.

  Language:Python5510