Pinned Repositories
Bank_ETL_Project
Global Banking Landscape Analysis: Extract, Transform, Load (ETL) Operations on Largest Banks Data
Classification_Products
This project trains Logistic Regression and Random Forest models to predict winning products based on features like 'sport', 'phone', etc. It includes data preprocessing, model evaluation, feature importance analysis, and hyperparameter tuning to optimize performance.
Contact-Manager-Java-
JavaFX Contact Management System: A desktop app for managing contacts and groups with JavaFX and MySQL. Features include adding, updating, searching, and deleting contacts, with a user-friendly interface.
powermetrics
Predict_Winning_Product
Product Winner Prediction Tool: A web application that uses machine learning (Logistic Regression and Random Forest) to predict the success of products based on their features. Built with Flask and React.
Student_Management_System
Student Management System Efficiently manage student information and enhance the educational experience. Admins can handle user, course, and library management, while students access profiles, courses, library resources, and chat with peers.
text-generator
Developed a text generation model using an LSTM-based RNN trained on Fyodor Dostoevsky's "Crime and Punishment." The model generates coherent text in Dostoevsky's style. Key features include custom tokenization, vocabulary lookup tables, and evaluation using BLEU and ROUGE scores. Technologies used: Python, PyTorch ..
Tweets-Classification
This repository contains a machine learning project focused on classifying tweets into two categories: politics and sports. The project utilizes natural language processing techniques and supervised learning algorithms to train models for accurate classification.
weather-app
ZakariaBenlamkadam
ZakariaBenlamkadam's Repositories
ZakariaBenlamkadam/powermetrics
ZakariaBenlamkadam/text-generator
Developed a text generation model using an LSTM-based RNN trained on Fyodor Dostoevsky's "Crime and Punishment." The model generates coherent text in Dostoevsky's style. Key features include custom tokenization, vocabulary lookup tables, and evaluation using BLEU and ROUGE scores. Technologies used: Python, PyTorch ..
ZakariaBenlamkadam/Classification_Products
This project trains Logistic Regression and Random Forest models to predict winning products based on features like 'sport', 'phone', etc. It includes data preprocessing, model evaluation, feature importance analysis, and hyperparameter tuning to optimize performance.
ZakariaBenlamkadam/Predict_Winning_Product
Product Winner Prediction Tool: A web application that uses machine learning (Logistic Regression and Random Forest) to predict the success of products based on their features. Built with Flask and React.
ZakariaBenlamkadam/ZakariaBenlamkadam
ZakariaBenlamkadam/Contact-Manager-Java-
JavaFX Contact Management System: A desktop app for managing contacts and groups with JavaFX and MySQL. Features include adding, updating, searching, and deleting contacts, with a user-friendly interface.
ZakariaBenlamkadam/weather-app
ZakariaBenlamkadam/Tweets-Classification
This repository contains a machine learning project focused on classifying tweets into two categories: politics and sports. The project utilizes natural language processing techniques and supervised learning algorithms to train models for accurate classification.
ZakariaBenlamkadam/Bank_ETL_Project
Global Banking Landscape Analysis: Extract, Transform, Load (ETL) Operations on Largest Banks Data
ZakariaBenlamkadam/Student_Management_System
Student Management System Efficiently manage student information and enhance the educational experience. Admins can handle user, course, and library management, while students access profiles, courses, library resources, and chat with peers.