Official Repository for Pydata Pune Meetup - Gang Up -I

Explanation of Mathematics used in Machine Learning Algorithms and some Projects

This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London

Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.

Численные методы оптимизации реализованные для курса ВолгГТУ "Методы оптимизации"

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

This repository consists of my assignment submissions for Mathematics in machine Learning course by Imperial College on Coursera.

Repo contains miscellaneous programs

Mathematics for machine learning

Companion webpage to the book "Mathematics For Machine Learning"

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

Go simple-to-use plotting library that includes visualization of vectors and matrices, the Gaussian distribution, time series and seasonality and more. It offers statistical components of datasets, such as the variance and covariance.

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

Anonymous Data Scientist

Blank notebooks and solutions for the Mathematics for Machine Learning specialization by Imperial College of London on Coursera.

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

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

My Collection of Certificates!

MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON