abhinavsuraj

abhinavsuraj's Stars

• youssefHosni/Awesome-AI-Data-GitHub-Repos

  A collection of the most important Github repos for ML, AI & Data science practitioners

  658145

• aishwaryanr/awesome-generative-ai-guide

  A one stop repository for generative AI research updates, interview resources, notebooks and much more!

  8.3k1.8k

• JifuZhao/120-DS-Interview-Questions

  My Answer to 120 Data Science Interview Questions

  Language:Jupyter Notebook501198

• patrickloeber/ml-study-plan

  The Ultimate FREE Machine Learning Study Plan

  2.8k393

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.8k1.9k

• adijo/data-science-prep

  Problems from https://datascienceprep.com/

  Language:Jupyter Notebook11859

• fpzh2011/technotes

  郑建华的技术学习总结

  Language:C++2

• cdeweyx/DS-Career-Resources

  Compilation of resources for aspiring data scientists

  Language:Python2k635

• EconomistYW/Take-home-data-challenge

  Language:Jupyter Notebook1

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k5.5k

• yliu8834/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  1

• jayinai/data-science-question-answer

  A repo for data science related questions and answers

  Language:Jupyter Notebook2.4k658

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.2k3.7k

• harshtandon23/Marketing-Analytics

  Apply Media Mix Modeling using AdStock variables, Segmentation and Targeting, Forecasting using Bass Models, Multinomial Logit Model to help assess the results of campaigns and tests, and Customer Acquisition or Churn Predictions Using Hazard/Survival Model.

  Language:R4

• Nikhilkohli1/Digital-Marketing-Analytics

  This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

  Language:Jupyter Notebook20260

• allenchng/exp-readings

  A collection of resources for experimentation

  606

• TammyRotem/A-B_Tests_with_Python

  A walk through A/B Tests for new feature

  Language:Jupyter Notebook62

• ashishpatel26/Last-Minute-Notes-of-Machine-learning-and-Deep-learning

  Last Minute Note of Machine learning and Deep learning by Jason Brownlee

  8559

• tfolkman/byu_econ_applied_machine_learning

  The course work for the applied machine learning course I am teaching at BYU

  Language:Jupyter Notebook136111

• hyunjun/bookmarks

  Language:Python782246