#Ml-from-scratch
Showing 2 of 2 repositories tagged #ml-from-scratch, ranked by stars
SENATOROVAI
Data-Science-For-Beginners-from-scratch-course
Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.
Score
0
★ 181
⑂ 144
+2/day
Python
ShivamShrirao
dnn_from_scratch
A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Score
0
★ 32
⑂ 4
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Python