Snake (without Head) – Reinforcement Learning in Python
From beating top of the leaderboard players in Dota 2 or beating the world champion in Go, Reinforcement Learning has gained a lot of popularity in recent years.
From beating top of the leaderboard players in Dota 2 or beating the world champion in Go, Reinforcement Learning has gained a lot of popularity in recent years.
Here is another small project of mine, where I tried to predict housing prices based on for example the overall quality of the house and the year it was built.
While it’s fine to work with one of those many datasets which are publicly available, its a whole different task to come up with your own classification task and data.
Another project in Machine Learning that really got my interest was Image Classification.
This was actually one of the very first projects that I did for exploring Machine Learning in Python. My primary goal was to get a basic understanding about how Machine Learning works, all the way from basic data exploration, how to select reasonable variables, encoding categorial variables such as sex, all the way up to …
My goal with this mini-project was, to get a very basic idea about how K-Means Clustering works.
Welcome to the third beginner project in python. My goal with this project was, to implement a simple „Hangman“ game.
Welcome to the second beginner project in python. My goal with this project was, to implement a simple number-guessing game, where the player would be able to insert some numbers into the console, receives some feedback whether the number to be guessed is above, below or equal to the number that he/she has entered. If the number is below or above, the player would have another shot at guessing the number correctly.
When I first started out programming in Python and learning more about Data Science with literally no experience whatsoever, I was immediately overwhelmed by all the possible resources that you were able to find both offline and online.
In this first post I am very shortly reflect on the professional and personal journey that is already behind me, as well as the forthcoming journey that lies ahead of me.