In this post, we will see the Exploratory Data Analysis or EDA, but we are not going to use any models or feature extraction methods. Our main focus is on the data. In future posts, we’ll explore feature extraction methods and modeling. I consider myself lucky when at the beginning of the day, a dataset …
I was thinking of creating a series, instead of individual posts, for Deep Learning projects, for some time now and I concluded that they are more lightheaded and easy to follow, so here I am! In this series, we are going to create a chatbot using Keras and SageMaker. I will try to explain the …
A Simsons Chatbot (Keras and SageMaker) – Part 1: Introduction Read More »
Recently, I purchased the book Machine Learning with Python Cookbook by Chris Albon (@chrisalbon). I finished it in one week, while I followed each piece of code on my computer. In this post, I will review this book and at the end, I will conclude with my proposition to buy or not to buy. Contents …
This time of the year has come! Pycon 2018 just took place at Cleaveland, Ohio at 9-17 May. It was an amazing conference with a lot of new and revised ideas! Recently I’ve noticed a tweet from Python Software with all the videos from PyCon, thanks to my friend @mpetyx who also wrote an amazing article, Third Week …
In this blog post, we are going to talk about preprocessing in order to have a robust dataset for our model. When we are given a dataset, it is really important to understand it and by understanding, I mean to find the key features. This is not always the case, because we may have a …
