Jay Meil's Projects
Answers to 120 commonly asked data science interview questions.
Simple front-end A/B experiment
Simple Cheat Sheets I've Made While Learning Data Science At Lambda
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Coursera Stanford Algorithm Course Project 2
Notebooks for learning deep learning
Notebooks, assignments, and sprint challenge for Data Science Unit 1 Sprint 1
Notebooks, assignments, and sprint challenge for Data Science Unit 1 Sprint 4
Software Engineering and Reproducible Research for Data Science
SQL and Databases for Data Science
Building a real deployed full-stack application, backed by Data Science
Stanford Coursera Week 4
This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.
test repository
Coursera 9-Course Specialization
IBM Advanced Data Scientist Specialization on Coursera