shahalt1 Goto Github PK

autograd

This neural network (NN) includes a `Neuron` class with weights, bias, and tanh activation. The `Layer` class groups neurons into a layer, and the `MLP` (Multi-Layer Perceptron) class stacks layers to form a fully connected feedforward network. It supports forward passes and visualizes the computational graph.

car-app

car-webapp

house-price-prediction-webapp

House Price Prediction Webapp: The House Price Prediction Webapp is an innovative tool that leverages machine learning to estimate house prices based on user-provided parameters, offering a seamless and insightful experience for individuals exploring real estate. Developed using the Flask web framework for Python

house-price-predition

Built a house price prediction model using Random Forest Regression in Python's Scikit-Learn. The model is integrated into a user-friendly Tkinter GUI. Users input house details, click "Submit," and get an instant price prediction. The project is scalable and customizable, offering a straightforward solution for predicting house prices.

html-login-pages

This repo contain built-in login pages design which is free to use

predict-names

nothing

project2

shahalt1

Config files for my GitHub profile.

test1

youtube-clone