Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

This project focuses on predicting house prices using a Machine Learning approach based on the Linear Regression algorithm. The model is trained on housing data containing various property-related ...

# Basic Import import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns # Modelling from sklearn.metrics import mean_squared_error, r2_score from sklearn.neighbors ...