Is it better to go with machine learning or should you get started with a rule based algorithm first in your predictive maintenance project?

While basic predictive maintenance concepts are discussed in various articles, there is actually little to find when it comes to selecting the best approach on predicting an error. In this article we get you started with a short introduction on predictive maintenance and then focus on which way to go when it comes to choosing the best predictive algorithm for you: Is it better to go with a machine learning model or should you get started with a rule based algorithm first?

Predictive Maintenance — ML vs RULE BASED (Photo by Isis França on Unsplash)

Let’s get started by understanding where we are coming from and what it is all about, we need…


Knowing your customers is the foundation of any successful business. The better you understand their needs, their desires and wishes, the better you may serve them. That’s the reason why market or customer segmentation is so useful in the long run: You create profound knowledge about your customers, their characteristics and their behaviours to finally improve your business model, marketing campaigns, product features and many more…

Hands-on: Customer Segmentation (Photo by Max McKinnon on Unsplash)

In this article you will learn all necessary basics about customer segmentation and the application of an unsupervised learning method with the help of Python to finally build clusters for a customer sample dataset…


Determining the valuation of an early-stage Startup is in most cases very challenging due limited historical data, little to no existing revenues, market uncertainty and many more. Traditional valuation techniques, such as Discounted Cash Flow (DCF) or Multiples (CCA), therefore often lead to inappropriate results. On the other hand, alternative valuation methods remain subject to an individual’s subjective assessment and a black box for others.

Therefore, the underlying study leverages machine learning algorithms to predict a fair, data-driven and comprehensible startup valuations. Three different data sources are merged and applied to three regression models. …


It is one thing to create powerpoint slides and talk theoretically about what you will do with data. But it is another one to create a sample dataset and present a dashboard, visualisation or data model that is already working. While many sample datasets can be found on the internet, they quite often do not fit your exact needs. Therefore, at the end of this article, you will know how to create a beautiful sample CSV dataset for your specific purposes. Once the code is setup in a Jupyter notebook, you can use it over and over again.

As final…


Are you a sports and data geek tracking your workouts with the Apple Watch? Then it is probably time to learn more about your performance development over the last years. After reading this article you will know how to get deep insights about your workouts and sport patterns. And if this is not enough, it may be a nice first project to dive into data analysis: You will learn how to extract your data from your tracking device (In this case Apple watch), how to clean and transform the dataset and finally visualize it with Google Data Studio. …


Whenever you start a new data project or have a great idea dealing with data, an initial proof of concept may be necessary to kick things off. Of course you don’t want, and probably don’t have the time to spend hours on setting up a completely new data environment without even having a look at the data itself. In the following article you will learn how Docker may help you setting up a replicable data environment without wasting your time over and over again.

Docker is one of the simplest, most flexible ways to create, deploy and run your desired…


Statistics play a vital role in our life. We use them everyday — consciously or unconsciously. Nowadays data is everywhere and making the right decisions becomes increasingly difficult due to an information overload of our system. Statistics allow us to better process and understand the world around us if applied correctly. We should be able to make better decisions based on more complete information. But what if statistics are misleading?

What if somebody wants to trick you into believing something you better shouldn’t believe? Where are the screws to adjust data and its statistical results? This article walks you through…


Long story short — in this article we want to get our hands dirty: building a model that identifies our beloved customers with the intention to leave us in the near future. We do this by implementing a predictive model with the help of python. Don’t expect a perfect model, but expect something you can use in your own company / project today!

Before we start, let’s briefly recap what churn actually is: Churn quantifies the number of customers who have unsubscribed or canceled their service contract. Customers turning their back to your service or product are no fun for…


The ability of tracking and processing an ever-increasing amount of data is transforming how we notice the world and everything in it. Data, especially “Big Data”, influences our daily life — work, politics, healthcare, exercise, shopping,… predominantly in combination with buzzwords like Machine Learning, Deep Learning, Predictive Analytics or AI — Artificial Intelligence.

Friends and family asked me why I am excited about this topic and do a Masters in this special discipline. My answer is always the same: we cannot hide from it. There is an endless amount of “data-” opportunities, but also severe factors of risk. Nobody has…


New customers can be five to twenty-five times more expensive than retaining existing ones according to Harvard Business Review. Here is the message every company should to understand at first hand: keeping the right customers can be quite valuable. Not only because customer acquisition is much more expensive, but as more and more business models are shifting towards subscription plans, a customer can be worth thousands of dollar in future. Reducing your churn ultimately leads to a sustainable growing business.

What To Expect In This Article

This article is written to help you understand why customers stop using your service and how you can measure it…

flo.tausend

Founder @ landingdata.de & investory.io | Enthusiastic about data & startups !

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