Nourine Mohammed Nadir's repositories
Speech_Processing
This repository explores speech processing techniques like noise cancellation and speech segmentation through Python code.(Speech recognition soon)
Arabic-NLP-Engine
A Natural Language Processing (NLP) engine for Arabic text analysis and tokenization. The engine extracts content from a folder of text files, tokenizes it, and analyzes the most frequent next words or sequences. Additionally, it checks the syntax of the extracted tokens against a provided Arabic dictionary.
Collaborative-filtering-recommander
Collaborative filtering is a recommendation technique that relies on collecting and analyzing user interactions, behaviors, or preferences to make predictions and suggest items or content that users might find relevant.
House-price-EDA-and-Regression
Regression Analysis and EDA for House Price Prediction
BigMart-Sales-EDA-Regression
This repository contains a Jupyter Notebook for predicting BigMart sales using machine learning techniques. The notebook covers data preprocessing, exploratory data analysis, feature engineering, encoding categorical variables, scaling features, and building a Ridge regression model. The trained model is saved as a .pkl file for future use.
Cross-Entropy
Cross entropy applied to small-scale data, both binary and multiclassification.
Crowd-Simulation
This repository will contain my future crowd simulations projects
Healthcare-Classification
Healthcare Classification with Sklearn
Movie-Recommander-system-Content-based-
A Movie Recommender System implemented in Python using content-based filtering techniques. The system processes a dataset of 10,000 movies, extracting features such as keywords, genres, cast, and crew information to generate movie recommendations based on user input.
Smart-Home-IoT
This was an exercise to simulate the management of some sensors in a Smart Home.
House-price-regression
Simple house price prediction using Linear Regression
Shallow-Neural-Network
digit recognizer using shallow neural network (1 hidden layers)