Linear Regression Feature Selection and Trainer
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Updated
Jul 3, 2020 - MATLAB
Linear Regression Feature Selection and Trainer
Machine Learning Using MATLAB
Prediction of profits for a food truck using Linear Regression algorithm in Matlab programming language. Also using Gradient Descent to optimize parameters and Data visualization.
All my codes from 'Machine Learning' course by Andrew Ng offered by Coursera
This week we’re covering linear regression with multiple variables. we’ll show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.
This repository consists of the Machine Learning for Robotics laboratory activities: a Naive Bayes classifier, linear regression, kNN classifier and Neural Networks, namely.
Coursera's Machine Learning by Stanford University course assignments
Temele la Metode Numerice
Exercises for the Coursera Machine Learning - Andrew Ng
machine-learning octave neural-networks linear-regression logistic-regression multi-class-classification support-vector-machines k-means-clustering principal-component-analysis anomaly-detection recommender-systems
Stanford University MOOC |
Coursera Machine Learning Assignments
There are some notes and codes made by myself in this project, "MOOCsLearning". These sources are made from some courses provided by Coursera, Udemy or Microsoft
Scripts for machine learning algorithms in MATLAB/Octave and python
These are my solution to programming assignment on Ng's Coursera Machine Learning course
use linear regression to predict the population in a future year
Solutions to Coursera Machine Learning course ( Stanford University) by Andrew Ng.
Notes for Machine learning on coursera (Stanford University)
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