To drive the point home, lets straightway get started with the below hypothetical dataset of smoker data across three Indian cities: First, let’s convert it to a contingency table: Citynon-smokersmokertotaldelhi6511kolkata369mumbai7714total161834…
In the Part-1 of the article we saw how to derive the cost function in case of liner regression for a simple problem: Problem statement: want to predict the machining…
Gradient descent is a powerful algorithm used for optimizing many types of functions including the cost functions in data science However, before going to the mathematics and python codes of…
For quite some time, was thinking of writing articles on higher school maths. Because of two reasons, 1. when i was a student of 11th -12th , i feel, i…
Raspberry Pi, as you might already know, is an interesting board especially for the IoT hobbyists. However, to leverage its power you should ideally need an external monitor. But if…
Mechanical springs are always being a subject of my interest. I have created a calculator for designing helical compression spring, in fact i have created and published even an mobile…
Thanks to the advancement and accuracy of the FEA and virtual validation technologies, 48+ months new vehicle development programs are gone for good. However, with increasing geo-techno-polito-economic pressures even 36+…
In the last part of the data science tutorial, we saw how to establish the correlation between the typical parameters of a FDM 3D printing machine i.e., layer height, nozzle…
Got an interesting data set, its about FDM printed parts quality parameters such as strength, roughness, distortion and the machine parameters such as nozzle temperature, fan speed, bed temperature, materials…
I must admit that ABS is little difficult material to handle in FDM type additive manufacturing. Although this is not the first time i am using ABS for printing my…
