This project assesses the effectiveness of different linear regression models in predicting students' math scores using their reading and writing scores, providing insights into the most suitable ...

This project aims to compare the performance of three different regression models — Linear Regression, Support Vector Regression (SVR), and Decision Tree Regressor — using the California Housing ...

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.

Next, the demo trains a logistic regression model using raw Python, rather than by using a machine learning code library such as Microsoft ML ... there are different underlying theoretical models, and ...

8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...

Classification and regression models are very helpful in completing almost every aspect of data science and both of them are very different from each other. Even the type of data these methods use is ...

There are many different ML techniques you can use for binary classification. ... And suppose the logistic regression model is defined with b0 = -9.71, b1 = 0.25, b2 = 0.47, b3 = 0.51. To make a ...