Python list comprehensions with #DataCamp this morning.
Back to Kaggle. Model validation in Scikit-Learn this morning.
Working through Dan Becker’s Intro to Machine Learning course on Kaggle.com. I’ve hit some errors, so I’ll dive back into the scikit-learn docs later this evening to figure it out.
Back on the Kaggle wagon this evening.
Just over an hour of #DataCamp: Deep Learning with PyTorch today. Neural Networks are a bit heavy with theory alright! I haven’t seen much Linear Algebra since my school days, but I’m just going to forge ahead with it. It’ll sink in I’m sure 🤞
Got up early, and got today’s session in before 7am. Busy days with the kids on summer holidays, so no early nights and mornings from hereon in. Working on Python functions for now with #DataCamp. I may move onto Machine Learning courses in a few weeks.
And I’ve begun! I’m halfway through DataCamp’s Python Data Science Toolbox (Part1). I took out a 1 year subscription in January, and I’m finding the interactive exercises are good for revision and quick bursts of coding. As I progress in this 100DaysOfCode, I’ll give my Udacity Secure and Private AI Scholarship Challenge my best shot. […]
I’m back in the wagon. My last attempt at #100DaysOfCode went south about halfway through. Looking back at last year – I was trying to learn too much at once. Studying a postgraduate course in Data Analytics with Python, and a Front-end web development Nanodegree with Udacity at the same time, meant I was spread […]
H.Dip CATC project submitted. Shell scripting and Linux admin; me likey! Last H.Dip project due in about 12 days. That’ll be an e-commerce web app.
No code again. Taking 2 MCQ tests for my H.Dip and finishing a project due tomorrow for my Computer Architectures and Technology Convergence module.