This has been a quite long time to be here and experiment new things. Honestly, this journey brought me to learn many new things. I started implementing the freakin' ML algorithms from scratch! From simple python code! Of course yes, they are not optimized nor they are sufficient to be scaled — but I don't care. I have implemented a mind which can think. If I learn the data structures and algorithms I can make my algorithms better!
Anyways, if you are someone other than me — many times I referred a term "Book" by which I mean the amazing book from Jason Brownlee - "Master ML Algorithms".
The book actually has planted a new seed in me. It is "I can develop the ML algorithm from scratch, it is not hard if you make things in your words". Before taking this book I had used the algorithms. As said used only. That time I was used to get afraid to see how it worked because of my prejudice of them being scary. But here, this time the author has not only talked about how things work but also presented in the simple terms that I as a starter can understand, generalize it and make it my own.
He presented in the form of spreadsheet. All the steps were done entirely in the spreadsheet so I had to understand it and had to implement in the python. Which was quite amazing. If I were to start it now, I would have done better code, but okay!
Now man, I am more confident to discuss what is happening inside of an algorithm than before. It is just a start of another story. Now I have to do more.
Nextly, I am going to start building the Stats intuation. I have learnt stats in my 10th, 11th and 12th. I will revisit and re-note each fundamentals in my notebook. I guess this time, the notebook will be physical ans so it will not be on GitHub.
If you are someone other than me, I want to thank you for reading my stuff. I don't know why I followed this style of explaining, but if you found it handy and guidy I am really happy for that. And yes, Aayush see you there in the next exciting story.
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