Justin Tsao's repositories
polls_app
Django web app for polling users
listings_app
Listing App created with Django
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
Image_Classification_Using_Neural_Netwoks
Image classification using Deep Learning/Convolutional Neural Networks
First_Flask_App
Trying out setting up a Flask Web App for the first time
Info_From_Mined_Data
Extracting useful information from mined data, includes cleaning and wrangling
Improving_Customer_Service_Machine_Learning
Using Machine Learning to Improve Customer Service in Finance
Sales_Analysis_Produce
Sales analysis of produce
Predicting_Customer_Churn
Using Machine Learning to predict customer churn
Feature_Importance_in_Predictive_Modeling
This is an analysis on feature importance in predictive modeling and creating a prediction label.
Data_Science_Project_Skeleton
Blank slate to create a Data Science Project
docs
TensorFlow documentation
InventoryForecastBI
Live inventory forecasting using Power BI
imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Predicting_Matches_Esports
Business and Practical use cases for predicting matches in Esports using Machine Learning.
production-data-science
Production Data Science: a workflow for collaborative data science aimed at production
DSMiniProjects
Repo of Data Science mini projects
Riot_API_Stats_EDA
Statistical EDA section after the Visual EDA
API_Mini_Project
Using Qunadl API
SQL_mini_project
Using SQL to query Country Club Data
JSON_mini_project
Data wrangling using world bank project data