Hi there,
This article marks the start of my series of articles, which will explain how to make different learning models. As of right now, I have zero knowledge of machine learning and am intermediate in Python.
As the name suggests, I will only burden the articles with some theory. Still, I will try my best to make you understand why we are doing things, what the libraries and the functions are and why we are using those. If you want to follow these articles, you need to have some basic idea of machine learning and not very fancy knowledge.
These articles will help you make a model with basic Python knowledge.
For these article series, I would use Colab and, at times, Kaggle notebooks.
If you guys don’t know how to use Colab, there are many online tutorials to learn from.
If you don’t understand anything or the articles are becoming hard to grasp, please comment. I would love to get feedback, and I will edit articles accordingly.
So, let’s start our machine-learning journey.
