shivanidandir

shivanidandir's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.6k1k13414.4k

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook28.1k5101165.8k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.9k65551112.8k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27k286412.2k

• mrdbourke/tensorflow-deep-learning

  All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

  Language:Jupyter Notebook5.2k163952.6k

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k695519

• NVIDIA/waveglow

  A Flow-based Generative Network for Speech Synthesis

  Language:Python2.3k77257529

• cdeweyx/DS-Career-Resources

  Compilation of resources for aspiring data scientists

  Language:Python2k580637

• iamtodor/data-science-interview-questions-and-answers

  Data science interview questions with answers. Not ideally (yet)

  1.6k362353

• OBenner/data-engineering-interview-questions

  More than 2000+ Data engineer interview questions.

  1.1k212405

• katiehuangx/8-Week-SQL-Challenge

  Case study solutions for the #8WeekSQLChallenge.

  22539161

• tfolkman/byu_econ_applied_machine_learning

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

  Language:Jupyter Notebook136150111

• arverma/TowardsDataEngineering

  This repo contains commands that data engineers use in day to day work.

  Language:Python594542

• supratim94336/DataEngineeringCapstoneProject

  😈Complete End to End ETL Pipeline with Spark, Airflow, & AWS

  Language:Jupyter Notebook400018

• emrspecialistsamer/aws-glue-workshop

  Repository for AWS Glue Workshop

  Language:Jupyter Notebook304529

• CICIFLY/Data_Engineering_Project_Portfolio

  Data Engineering, Data Warehouse, Data Mart, Cloud Data, AWS, SAS, Redshift, S3

  Language:Jupyter Notebook24124

• gonzaferreiro/Networks_Analysis_plus_Recommendations_system

  This project explores the classic MovieLens dataset, first from a networks perspective, analyzing the relationship between users and movies. Later, in the main part of the project, we built and evaluate several Recommendations Systems.

  Language:Jupyter Notebook17105

• Pascal-Schmidt/blog_posts

  Language:R117