Paras Yadav's repositories
Detection-of-Cracks-in-Concrete-Surfaces
Dataset link :
course-v3
The 3rd edition of course.fast.ai
Feed-Forward-Neural-Network-from-scratch-in-python
Implementation of the neural network(2 hidden layers) from scratch in python, as well as in Keras/Tensorflow for comparison.
Numerical-Analysis-in-MATLAB
Matlab implementation of Regula Falsi, Jacobi and Gauss Seidel algorithms for finding roots of a system of linear equations.
Linear-Regression-Housing-Dataset
(a) Implement the three algorithms discussed in the class for least squares regression: LMS (Stochastic), LMS (batch), and the normal equations approach, and apply them on the house prices data (b) Compare the three algorithms in terms of data fit lines they produce (visually or quantitatively).
Logistic-Regression-Titanic-Dataset
Logistic Regression on Titanic Dataset, using scikit-learn as well as designing the algorithm from scratch. Also comparing their accuracies.
Realiable-Data-Transfer-Protocol
Taken from the work of Dr. Neha Karanjkar
Registration-and-Login-website
HTML webpages for event registration and login. All entries are stored in a MySQL database with admin access.
The-Pac-Man-Project
My solutions to the UC Berkeley AI Pacman Projects. Search: Implement depth-first, breadth-first, uniform cost, and A* search algorithms. These algorithms are used to solve navigation and traveling salesman problems in the Pacman world.