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.
☆44Updated 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:
- Repository of my solutions to the problems of "Learning from Data"☆274Updated 5 years ago
- Machine Learning course on edX by Yaser S. Abu-Mostafa (Caltech)☆17Updated 7 years ago
- Solutions for All of Statistics by Wasserman☆12Updated 4 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆123Updated 2 years ago
- Assignments (Python) in Algorithms Courses of Stanford University at Coursera☆61Updated 5 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆321Updated last year
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆424Updated 8 months ago
- Introductory Machine Learning Online Course (MOOC) from Caltech☆7Updated 7 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆279Updated 4 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…☆238Updated 2 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆25Updated 6 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆333Updated 11 months ago
- Cousera Prof. 林轩田机器学习课程☆41Updated 6 years ago
- A collection of take home data science challenges practice☆16Updated 6 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆230Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆894Updated 3 years ago
- Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman☆57Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science☆34Updated 5 years ago
- Fundamentals of Statistics☆44Updated 3 years ago
- Repo for MIT 6.036 Machine Learning☆27Updated 4 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- Porting the R code in ISL to python. Labs and exercises☆199Updated 2 years ago
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆124Updated 2 years ago
- Data Mining - University of Illinois at Urbana-Champaign☆107Updated 2 years ago
- This repository contains my solutions to the assignments for Stanford's CS224n "Natural Language Processing with Deep Learning" (Winter 2…☆133Updated 2 years ago
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆47Updated 3 years ago
- All lecture notes, slides and assignments for CS230 course by Stanford University.☆70Updated 4 years ago
- ☆208Updated 6 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆194Updated last year