In my previous post on gradient descent, I explained briefly what gradient descent means and what mathematical idea it holds. A basic gradient descent algorithm involves calculating derivatives of the…
In my previous blog on "Build your *FIRST* Machine Learning using Python", I mentioned that a general flow in a machine learning project involves importing the data, splitting it into…
When entering into the world of machine learning, one of the first concepts you encounter is error metrics or cost functions. These metrics help us understand the model performance by…
It is not until you work on an important project that you realize the importance of small things in programming. For me, it is the header file in C++. "Why…
In the previous blog on Confusion Matrix 101: Understanding Precision and Recall for Machine Learning Beginners, we understood the meaning of precision and recall which are important metrics while building…
When we build a machine learning model, choosing the appropriate metric is the key factor for the feasibility of that model. This factor is only realizable when a model is…
Building a machine learning model involves a sequence of tasks from data cleaning to feature engineering. In scenarios where these steps need to be repeated, for instance when data is…
Welcome to Day 2 of our "100 Days of C++" series! In the previous post of this series, we understood compilers, linkers, and what it means to build a package.…
Hello reader, welcome to 100 Days of C++ series. In my previous post on 4 Main Reasons Why I am moving to C++ from Python, I expressed my views on…
Arduinos are used in many IoT applications. From blinking LEDs to measuring the angular velocity of a wheel, Arduino is the microcontroller of choice not only for professional developers, but…
