roessland / learning-from-dataLinks
Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, perceptrons and other linear classifiers.
☆47Updated 6 years ago
Alternatives and similar repositories for learning-from-data
Users that are interested in learning-from-data are comparing it to the libraries listed below
Sorting:
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆447Updated last year
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆345Updated last year
- Repository of my solutions to the problems of "Learning from Data"☆277Updated 5 years ago
- Assignments (Python) in Algorithms Courses of Stanford University at Coursera☆61Updated 6 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
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆133Updated 3 years ago
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆288Updated 3 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆232Updated last year
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆369Updated 4 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆207Updated 2 years ago
- this is a collection of books and courses for machine learning.☆354Updated 3 years ago
- Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!☆35Updated last year
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆907Updated 4 years ago
- Repository for CS109A Fall 2018☆149Updated 5 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆302Updated 3 years ago
- Machine learning online course from Andrew Ng.☆76Updated 6 years ago
- Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…☆251Updated 3 years ago
- ☆218Updated 7 years ago
- Data Mining - University of Illinois at Urbana-Champaign☆108Updated 2 years ago
- My notes for Tim Roughgarden's awesome course on Algorithms and his 4 part books☆161Updated 4 years ago
- ☆191Updated 7 years ago
- Solutions for All of Statistics by Wasserman☆13Updated 4 years ago
- ☆47Updated 3 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆332Updated 2 years ago
- Learning Deep Learning☆326Updated last year
- Inside Deep Learning: The math, the algorithms, the models☆269Updated 2 years ago
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆92Updated 2 years ago
- Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne☆168Updated 7 months ago
- Hands-On Deep Learning Algorithms with Python, By Packt☆143Updated 2 years ago
- ☆206Updated 3 years ago