Libraries to Get Started with Machine Learning

Embarking on a journey into the world of machine learning can be both exciting and overwhelming. One of the key steps to getting started is familiarizing yourself with the essential libraries that will serve as your tools and building blocks. In this blog, we'll introduce you to some of the most popular and powerful libraries that will help you kickstart your machine learning projects, making the process smoother and more efficient. Whether you're a beginner or looking to expand your toolkit, these libraries are indispensable for your machine learning endeavors.

This are the key take aways from my machine learning journey:

1.) If you are having some confusion how to get started so here' you go

2.) start learning with some basic libraries like pandas , numpy , sklearn , matploatlib, etc

3.) after learning this basic libraries try building some small level projects by yourself write the code by yourself you can take referance from gpt but try to write the next few lines of code by yourself

4.) this will increase your confidence and also you will learn from your mistakes only

This is from my personal learning experience which i have been sharing and what problems i have faced as a developer . so i am sure that this will find helpeful who is getting started with machine learning