Machine learning using python
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Updated
Nov 5, 2017 - Python
Machine learning using python
A demonstration of a machine-learning trained polynomial regression model of...
implementation of linear and polynomial regression models trained using a dataset that contains information of house prices in Boston
The first project for Machine Learning course at Faculty of Computing.
Regression Modeling in Practice - Gapminder studies - Coursera
Advanced lane finding project of Udacity Self-Driving Car Engineer Nanodegree
Machine Learning Models using Python (Regression)
homework for computational intelligence, predicting bitcoin price with linear and polynomial regression.
Developed a Machine Learning project for predicting the basketball shots made by the players based on the angle of throwing using polynomial regression and Open CV.
This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using ElasticNet regression of l1_ratio 0.5. It also compares the predicted values with original outputs and for different alphas.
Simple regression model which is used to inspect if an employee is lying on his previous job salary by using polynomial regression
Covid prediction using polynomial regression for all the counties in the district of Braga, Portugal.
An educational deep dive into machine learning, building a polynomial regression model from the ground up with Python. This repo offers hands-on experience with the fundamentals of regression analysis, gradient descent optimization, and data visualization.
For programming with other individuals.
Regression models other than linear and multiple in Python
calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library ma…
A multivariate polynomial module.
Projects related to the course: Foundations of Machine Learning
Semi-automated Identification and Tracking of moving interfaces.
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