The repository contains python code used to train and build a machine learning model using simple linear regression. A small dataset was used consisting of two columns (height and weight). The data ...

Model uses Linear Regression to predict computer performance using independent hardware attributes from UCI repository dataset. Learned and used the Python libraries ‘Pandas’ and ‘Numpy’ to read key ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

This catch is not specific to linear regression. It applies to any machine learning model in any domain — if the features available aren’t related to the phenomenon you’re trying to model ...

To perform ordinal regression we can use a generalized linear model(GLM). GLM has the capability of fitting a coefficient vector and a set of thresholds to data. Let’s say in a data set we have ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).