As a person, I prefer blogs over videos every time and I feel there might be many people like me. I am currently learning Machine Learning from various online sources and paid courses, I feel like sharing everything I learn through blogs.
I am starting a Machine Learning course through blogs. It's free of cost. Now comes what I had done in ML, I myself am learning ML right now(you cant completely learn anything in technology or a language), I was among top ten finalists in techgig's ML hackathon(was unable to participate in finals due main semester exams). Now, why should you choose my blogs over any other learning website?
- It's free of cost.
- I am trying to cover a vast syllabus. (a little bit of data analytics too)
- You will get everything in one place i.e maths part of ML, Python prerequisites for ML, and of course ML.
- I will be writing blogs for making projects too step by step.
The overview of the curriculum for maths and python (Would update with detailed one soon)
Python - keywords, variables, data types, operators, loops, data structures(list, tuple, set, dictionary, strings), functions, modules, packages, file handling, exception handling, Numpy, matplotlib
Maths - 3d plot, binary search, histogram, distribution, mean, median, vectors, dot product, projection, basic figures, probability, statistics, binomial distribution, variance, creation, K-S test, MNIST data set, PCA.
I will be posting blogs on dev and my site both. (will put the topic number in every blog to arrange the content).
My website
https://www.harshitaramchandani.tech/
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