Machine Learning

Practitioner

We are on your path to a practice in Machine Learning and Artificial Intelligence.
Consider MLP your  resource and information site for news, tools and techniques to maintain your skillset.
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Code

Code

Machine Learning does require some coding. Our language of choice right now is Python.  We code to build straight from our minds. We should share, openly.

As we develop or acquire code that proves relevant to our users, we will stack it up here under these three major categories.

We make heavy use of Jupyter notebooks as that is the most transportable method for sharing data science code. The notebooks are all stored in Github so you can download them and run them locally or push them to Azure ML Cloud or Google Collab.

 

Open Source Kernels

You and I have been busy creating Machine-Learning kernels, wrangling data and predicting outcomes. Here are some of the more recent ones.

PGA Scraping Notebook

PGA Scraping Notebook

PGA Data Scraper Taken from an effort by Patrick Young on Github This scraper uses BeautifulSoup...

PGA Scoring Prediction

PGA Scoring Prediction

2010-2020-PGA-Points-Prediction The object is to predict the Average Official World Golf Rating...

Strokes Gained PGA Notebook

Strokes Gained PGA Notebook

On the Strokes Gained Statistics on the PGA Tour On Kaggle.com, check out Djdiroff's kernel as a...