Python Programming Guide for begginers. No prior knowledge required.

This is the code for "Recurrent NeuralNetwork using keras and numpy" By M.Junaid Fiaz

Supermarket Sales Analysis

This project focuses on price prediction using advanced data cleaning, regex-based address parsing, and feature engineering. It includes normalization, correlation analysis, and multiple regression models. Bayesian Regression achieved the highest accuracy at 91.89%. Evaluation involved R² score, cross-validation, and GridSearchCV for HP Tuning.

[Mix] Preparation for web programming exams (mid-end)

Python implementation of the programming assignments from Machine Learning class by Andrew NG on Coursera, which is originally implemented in Matlab/Octave.

This repo contains resources including Jupyter Notebook files for exploatory data analysis on a dataset for Programming for Engineers College Course.

This project scrapes Wikipedia pages on various topics, processes the text using TF-IDF vectorization, and clusters the topics using KMeans. The results are visualized in a 2D plot using UMAP, providing insights into the relationships and groupings of different Wikipedia topics based on their content.

Efficient scheduling determines process execution order, affecting metrics like turnaround, waiting, and response time. This Python project compares five algorithms: FCFS, SJF, Priority Scheduling, HRRN, and EDF. Through simulations, it evaluates their performance, offering insights into selecting suitable strategies for different applications.