DataAnalysis

### MDF4 Files to CSV: handling Automotive data easily with Python and Open-Source tools

Let me show you how I use open-source Python libraries to handle MDF files from Automotive testing and calibration environments

DataAnalysis

Let me show you how I use open-source Python libraries to handle MDF files from Automotive testing and calibration environments

CAD

I share my workflow on Autodesk Fusion to export flattened surfaces for laser cutting

Python

I share the intuition that helped me understand Pandas GroupBy method and examples of how it can be so useful when analyzing data.

Data Science

I researched the main optimization algorithms used for training artificial neural networks, implemented them from scratch in Python and compared them using animated visualizations.

Data Science

I describe the algorithm of gradient descent, which is used to adjust the weights of an ANN. A summary of information from different sources that I used when studying this topic.

Python

A practical example of how to use Python to analyze the results of an experimental test consisting of a sequence of stationary points

Data Science

I share some notes about the basic math behind feed-forward Artificial Neural Networks (ANNs).

Engineering

Moving averages are the go-to data smoothing trick for many people in Engineering and Data Analytics. However, they aren't always the best choice.

Engineering

I estimated the heat convection coefficient of a Formula SAE car. Let me share what I learned.

Engineering

I used a lumped-body approach to approximate the properties of a brake disc and simulated its temperature increase after 100 braking maneuvers.

Engineering

I studied the brake load distribution of a Formula car using a simple Matlab script. Let me show you how I did it.

Meta

If you are writing how-to posts or guides, you should do this. For any kind of content, really.