Machine Learning C++

contains the content related to ML

Using python we have created a Linear Regression Machine Learning Model from Scratch. We have implemented Gradient Descent to find the best 'm' (Slope) and 'b' (Intercept).

In this part of this exercise, you will implement linear regression with one variable to predict profits for a food truck. Suppose you are the CEO of a restaurant franchise and are considering different cities for opening a new outlet. The chain already has trucks in various cities, you have data for profits and populations from the cities. You …

Custom linear regression analysis for a Large-scale Wave Energy Farm and a Convolutional Neural Network for image classification based off the Intel Image Classification Dataset of natural scenes.

This project tackles BoomBikes' post-Covid revenue decline by predicting shared bike demand after the lockdown. A consulting company identifies key variables impacting demand in the American market. The goal is to model demand, aiding BoomBikes in adapting its strategy to meet customer expectations and navigate market dynamics.

performed gradient descent on Linear Regression and optimized the result of boston data using gradient descent data