Reading through Pandas documentation to work out a problem. I like it when code doesn’t work – sometimes! Advertisements
Finished the first chapter of #DataCamp’s course: Data Science Toolbox Part 2. Its a free chapter with exercises using iterators and iterables in #Python. I’ve been looking at a few other courses also, to decide what to work on next. I’ve a few options: Udacity’s Secure and Private AI scholarship Kaggle’s Intro to Machine Learning […]
Python iterators revision with #DataCamp – 1 hour + this morning. I took a leap with the Deep Learning with PyTorch course, and I’m giving that a rest today.
Completed chapter 2 of Deep Learning with PyTorch. This.stuff.is.hard!
#DataCamp: Deep Learning with PyTorch – Loss Functions. This stuff is really advanced, but I’m starting to grasp the concepts. I’ll keep going with this chapter, as I’m 60% there.
30 minutes of Activation functions in PyTorch with #DataCamp. I’m pressing ahead with this course for now. It’s pretty theory heavy, but working through the exercises will help me learn the concepts of Deep Learning first. The theory and math under the hood I can dive into later.
It’s 07:05, and I’m done: 50 minutes of Lambda functions in Python with #DataCamp. No music this early, as the house is nice and quiet. Better let the cat back in!