Brandy Li's repositories
LeetCode-Solutions
Daily Update Solutions
ISRL
Python Version for Introduction to Statistical Learning
IBM_SQL_for_Data_Science
The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.
TensorFlow
Project containig related material for my TensorFlow articles
jupyter
Jupyter metapackage for installation, docs and chat
Tableau-Desktop-II-Intermediate
Tableau Desktop II: Intermediate
mslearn-aml-labs
Azure Machine Learning Lab Notebooks
DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges