Montanaz0r / MIT-6.0002-courseLinks
My solutions to the assignments of MIT 6.0002 course.
☆10Updated 6 years ago
Alternatives and similar repositories for MIT-6.0002-course
Users that are interested in MIT-6.0002-course are comparing it to the libraries listed below
Sorting:
- Introduction to Computation and Programming Using Python☆210Updated 4 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆302Updated 3 years ago
- Up-to-date version of labs for ISLP☆1,190Updated 8 months ago
- Solutions for MITx 6.0001 exam problems and MIT OCW 6.0001 course problem sets☆15Updated 6 years ago
- 6.00.1x Introduction to Computer Science and Programming Using Python from MIT on edX☆60Updated 6 years ago
- Introduction to ML packages for the 6.86x course☆404Updated 5 years ago
- Code repository for O'Reilly book☆3,174Updated 3 months ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆952Updated last year
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆907Updated 4 years ago
- Solutions for All of Statistics by Wasserman☆13Updated 4 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆345Updated last year
- Code that accompanies the book "Linear Algebra for Data Science"☆385Updated last year
- All notes and materials for the CS229: Machine Learning course by Stanford University☆258Updated 4 years ago
- Python and MATLAB code for online linear algebra course☆195Updated 2 weeks ago
- ☆68Updated 2 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆332Updated 2 years ago
- Harvard Applied Math 205: Code Examples☆95Updated 3 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,192Updated 3 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 3 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- Assignments (Python) in Algorithms Courses of Stanford University at Coursera☆61Updated 6 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆447Updated last year
- Python code written for MIT's Machine Learning course offered on edX☆125Updated 6 years ago
- Fundamentals of Statistics☆45Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)☆11Updated 8 years ago
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,198Updated 3 months ago
- An Introduction to Statistical Learning with Applications in PYTHON☆554Updated 3 years ago
- All lecture notes, slides and assignments for CS230 course by Stanford University.☆92Updated 4 years ago