mattblasa Goto Github PK

jekyll-incorporated

Modern Jekyll based blog for companies

khuyentran1401

king-county-house-prediction-2021

king-county-housing-price-data

learn-python-programming-second-edition

Learn Python Programming – Second Edition, published by Packt

learning-tableau-2020

Learning Tableau 2020, published by Packt

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

loan_optimizer

A package to optimise the pricing across a cohort of standard interest bearing credit consumer loans.

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-in-practice

Examples of how machine learning and deep learning can be applied in practice

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinelearning_deeplearning

I will share about Machine Learning and Deep Learning.

malaria-detection

markdown-badges

Badges for your Profile and Projects.

market-mix-modeling

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

marketing-attribution-models

Python Class created to address problems regarding Digital Marketing Attribution.

marketing-lead-scoring

An end-to-end enterprise-grade example of working a data science problem.

marketing-mix-model

marketingmix

mattblasa

mattblasa.github.io

matt_website_v1

A minimalist Jekyll theme for running a personal blog

ml-azuredatabricks

Collection of Machine Learning Examples for Azure Databricks

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

mlads-aml

A Lap Around Azure Machine Learning

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlegineering_mlflow

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlops

The repository contains a list of projects which I will work on while learning and implementing MLOps.