Linear Algebra; Multivariate Calculus; Optimization; Probability and Statistics; Phenomena in High Dimensions; Approximation Theory; Functional Analysis, etc..

Repo contains miscellaneous programs

Replay Buffer is a blog on machine learning, computer science and mathematics.

Companion webpage to the book "Mathematics For Machine Learning"

Mathematics for Machine Learning Computer Project

I)Testing and practicing different machine learning algorithms II) Mathematical modeling and simulation algorithms.

These are the handwritten notes on, how to set up an IDE, an introduction to Conda environment, how to use Git and GitHub for version control, and mathematics for data science.

Anonymous Data Scientist

Assignments for lesson: Pattern Recognition - Machine Learning (UOA)

Research project on random forests and how can one improve their prediction accuracy for the NASA airfoil learning problem using mathematical analysis

Data Science With Python->Target: AI/ML

Personal Research on the mathematical foundation of CNNs as well as my first computer vision problem

In this repository, I have uploaded PDF of mathematics that are required for data science which include linear algebra, statistics, differential calculus. You can either learn some PDF for that particular day or go to the final PDF to get everything needed.

My Collection of Certificates!

My personal notes for learning about programming and math (in particular statistics). So far it's mostly just my solutions to book exercises, maybe I'll write up some things later on. This repo consists of my studying after leaving university, I won't upload the notes from before that.

Official Repository for Pydata Pune Meetup - Gang Up -I

Lab of Applied Mathematics is the collection of all the computational study work using different resources (online or offline) that I did during my Graduation in Applied Mathematics and Post Graduation in Mathematics and Computing (Applied Mathematics)

Notes taken during studying mathematics and machine learning

A walk through of the creation of a deep neural network from scratch!

Mathematics for machine learning