The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
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Updated
Sep 13, 2022 - Jupyter Notebook
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Blank notebooks and solutions for the Mathematics for Machine Learning specialization by Imperial College of London on Coursera.
Jupyter notebook projects covering main mathematics principals and courses. Math fundamentals, Algebra, Geometry, Trigonometry & precalculus, Calculus, Linear Algebra
A Jupyter notebook that explains the pointwise convergence of a Taylor series.
A Jupyter notebook that explains the order of a numerical method.
A Jupyter Notebook that explains improper integrals: what they are and how to compute them.
Series of Data Science notebooks cover various topics.
A simple static React Website integrating LaTeX to display various commonly used calculus formulas
Visualizations of my development process
My Mathematica notebooks…
Mathematics for Machine Learning Notebooks and files
A Jupyter notebook that explains what is meant by the relative "growth rate" of sequences.
Set of jupyter notebook to explain classic machine learning model
A collection of practice notebooks to learn Mathematics for Machine Learning
Lots of notebooks providing examples on how to do calculus, statistics and machine learning with Python.
This repository contains notebooks and scripts introducing the different topics in Numerical Analysis beginning with the Fundamentals, Systems of Equations, Interpolation until Optimization, and Numerical Solutions to Partial Differential Equations.
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