Matthew Blasa's repositories
DVD-Store-Data-Modeling
Project using the DVD modeling database to create data models and business objects in Azure. Models created using PySpark and SparkSQL. Ingestion performed using Scala and Azure Data Factory.
AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
customer_segmentation
An end-to-end project on customer segmentation
data-science-popular-algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
databricks-sync
An experimental tool to synchronize source Databricks deployment with a target Databricks deployment.
databricks_containers
Sample base images for Databricks Container Services
EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
first_app-master
first kubflow
fluent-python-2E
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
hurricane-net
A deep learning framework for forecasting Atlantic hurricane trajectory and intensity.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
MachineLearning_DeepLearning
I will share about Machine Learning and Deep Learning.
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
MLOps
The repository contains a list of projects which I will work on while learning and implementing MLOps.
MLOPs-Primer
A collection of resources to learn about MLOPs.
mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
overwatch
Capture deep metrics on one or all assets within a Databricks workspace
practical-nlp-code-1
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
recommendation
Recommendation System using ML and DL
recommenders
Best Practices on Recommendation Systems
TatevKaren-data-science-portfolio
Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and additional resources are all included.