A Dive Into Machine Learning | Chapter 4
Hello Learners and Welcome Back!
After going trough Scientific Programming and exploring different libraries in the previous posts, we’re finally ready to take you to the next level and introduce you to Machine Learning.
In these notebooks you’ll find a broad dissertation of Machine Learning foundations with hands on coding: starting from Exploratory Data Analysis (EDA) and basic visualization to the very basics of Deep Learning (CNN, RNN)
Take your time to go trough these notebooks, it’s a pretty long ride to explore every chunk of code.
With this last bunch of notebooks you’ll be able to further investigate Machine Learning projects by yourself. Our introductory work is pretty much done: it’s time to go on with something differente. In particular we’re thinking about expanding the Machine Learning Journal Club and starting a brand new collaborative coding playground experience. We’ll keep you updated in the next days!
Simone, MLJC
P.S. If you find any bug/error or you have some problems with the code feel free to contact us at mljcunito@gmail.com
Do you like our project? Your feedbacks are important to us! You can support in many ways, such as: by contributing to our contents or by submitting a small donation in form of a coffee down here👇
