bpietraga / coursera-mathematics-for-ml-pcaLinks
These are my solutions for 4 weeks of Principal Component Analysis course in Python.
☆14Updated 4 years ago
Alternatives and similar repositories for coursera-mathematics-for-ml-pca
Users that are interested in coursera-mathematics-for-ml-pca are comparing it to the libraries listed below
Sorting:
- A series of Jupyter notebooks for those wanting to learn Python through applications to mathematics.☆13Updated 2 years ago
- ☆27Updated 6 years ago
- This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Im…☆41Updated 7 years ago
- ☆88Updated 5 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆152Updated 4 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆55Updated last year
- Source code for 'Numerical Python' by Robert Johansson☆63Updated 8 years ago
- Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing☆15Updated 5 years ago
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆63Updated 5 years ago
- Jupyter Notebooks for the Course Python for Data Science and Machine Learning Bootcamp by Jose Portilla on Udemy.☆15Updated 4 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…☆271Updated 2 years ago
- This is the solution of the "Mathematics for Machine Learning Specialization" made by Coursera☆37Updated 4 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- A set of notebooks for an introduction to Python for Mathematicians.☆172Updated 3 years ago
- My notes for coursera course AI TensorFlow in Practice Specialization.☆16Updated 6 years ago
- ☆44Updated 5 years ago
- Exploratory Data Analysis with Pandas and Python 3.x, published by Packt☆44Updated 2 years ago
- "Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019☆27Updated 5 years ago
- Master mathematics for machine learning, Artificial Intelligence. A curated list of awesome mathematics resources.☆162Updated 2 years ago
- Present your data as an effective and compelling story☆111Updated 5 years ago
- Material on Machine Learning methods applied to Physics analysis, with an emphasis on Regression and Deep Learning Methods. https://comp…☆20Updated 2 years ago
- Math with Python Cookbook, Published by Packt☆78Updated last month
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆95Updated 6 years ago
- Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics☆35Updated 2 years ago
- General math scripts and important algorithms' implementation in Python 3☆22Updated 7 years ago
- Notes and step-by-step exercises resolution to aid students learning the base math for machine learning. Content summed up from the the c…☆62Updated last year
- An Essential Graphic Primer of Matplotlib☆30Updated 3 years ago
- Computational Methods for Physicist: Projects in Computational Physics☆11Updated 2 years ago
- A collection of machine learning courses.☆44Updated 4 years ago