Week VII: Seaborn & Pandas-Profiling

Following our Udemy tutorial, we realized that that was only one way to go. As soon as we hit some small problems, things started to get complicated. Online tutorials give you a dense but superficial overview, where everything from code to dataset is neatly prepared. But real word stuff is messy rather than neat. We … Continue reading Week VII: Seaborn & Pandas-Profiling

Week VI: Clustering

After a great weekend with our study group we've finished K-Means Clustering and Hierarchical Clustering. In Classification, your model tries to predict two or more labels, that you already know of. (e.g. it learns from past customer data if a future customer is going to buy your product or not) Clustering is explorative. You don't … Continue reading Week VI: Clustering

Week VI: A Sinking Ship

We're done with Regression and Classification and finished about 40% of the Udemy course. I was a bit skeptical to be honest, because up until now everything went perfectly and smoothly, having templates, clear guidelines and a rather neat and small datasets. But the real world isn't smooth and perfect. It's complicated, confusing and flawed. … Continue reading Week VI: A Sinking Ship

Week V: Math

2 days. 2 very intense days. 20 hours of building machine learning models. and there is no way on earth I could write a consistent and coherent blog post about that in my current state. However, after finishing Regression and starting with Classification (Logistic Regression, SVM and Kernel SVM), that involved some heavy math, I … Continue reading Week V: Math


We're done with week IV and Linear Regression, Multiple Linear Regression and Polynomial Regression. The most important lesson learned this time: set the right features (MLR). Meaning, the ones that actually have an impact. Explaining Backward Elimination, Forward Selection or Bidirectional Elimination was quite abstract and we couldn't wrap our head around it until we … Continue reading MLTOKYO: Week IV

Coursera: Andrew Ng’s new Deep Learning course

Finally. Andrew Ng's Deep Learning Specialization is online. The previous Machine Learning course is a classic, but it needed an update. Here it is. Big time. "I have been working on three new AI projects, and am thrilled to announce the first one:┬ádeeplearning.ai, a project dedicated to disseminating AI knowledge, is launching a new sequence … Continue reading Coursera: Andrew Ng’s new Deep Learning course