brandyli Goto Github PK

aws

aws_emr_in_citybike_dataset

azure-machine-learning-lab-notebooks

big_data_technologies_projects

brandyli.github.io

cis9340_database_management_sql

data-science-takehome-challenge

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

ibm_data_science_professional

ibm_machine_learning_with_python

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.

isrl

Python Version for Introduction to Statistical Learning

jupyter

Jupyter metapackage for installation, docs and chat

leetcode-solutions

Daily Update Solutions

machine-learning-notes-

matlab

mslearn-aml-labs

Azure Machine Learning Lab Notebooks

python_practice

real_python_tutorial

streaming-finance-data-with-aws-lambda

tableau-desktop-ii-intermediate

Tableau Desktop II: Intermediate

tensorflow

Project containig related material for my TensorFlow articles