Welcome to my TensorTonic solutions repository!
Here you'll find my solutions to various machine learning and deep learning problems from TensorTonic.
TensorTonic is a platform where you can implement core algorithms of Machine Learning from scratch.
This repository contains my personal solutions to these problems, automatically synchronized from the platform.
- Linear Algebra/ – Numbered solution files (e.g.
1.Implement_dot_product.pythrough7.Matrix_trace.py), each with full implementation code. - Probability&Statistics/ – Solutions for Bernoulli, Binomial PMF, expected value, geometric probability, mean/median/mode, percentiles & quantiles, sample variance & standard deviation.
- Data Processing/ – Solutions for Binning, LogTransform, Matrix Normalization, Min–Max Normalization, Remove Stopwords, Text Chunking, Z-score standardization.
Do not add duplicate or placeholder-only files (e.g. unnumbered implement_*.py stubs with only comments); they create confusion and are not accepted.