Lilia MAHDID's repositories
Kaggle-Competitions
This repository contains the codes that has been written for Kaggle competitions
A-Mini-Interpreter_OOP2CP_TP
This is my OOP Practical work during the second year of preparatory classes at ESI Algiers
Breast-Cancer-Prediction-using-SVM
This is an AI Model for Breast Cancer Prediction using SVM
Intro-to-Machine-Learning
This is a Kaggle course which allowed me to learn the core ideas in machine learning, and build my first models.
N-Queens-Problem
This is a solution to the n queens problem with aima-python
awesome-public-datasets
A topic-centric list of HQ open datasets.
bootstrap-project-starter
Let's start a bootstrap project
CustomerChurnPrediction
A major utilities company. has had declining profits due to significant customer churn. We have been engaged to drive churn reduction within their Small & Medium Enterprise (SME) customers.
Data-Visualization
In this hands-on course, I learned how to take my data visualizations to the next level with seaborn, a powerful but easy-to-use data visualization tool.
DistributedDB
This Github repository contains a collection of practical works for learning and implementing distributed databases. The practical works are designed to provide hands-on experience with building, configuring, and managing distributed databases in a variety of scenarios.
ES6-HTML-DOM
ES6 and Dom manipulation
Kaggle-Deep-Learning
In this course, I learned how to use TensorFlow and Keras to build and train neural networks for structured data.
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
mindsdb
In-Database Machine Learning
OR-Project
This is an Implementation of some Operations Research Solutions with Matlab
Quick-Draw-Image-Classification-Challenge
This repository contains the solution for a deep learning image classification challenge undertaken as part of the Artificial Intelligence and Deep Learning module at the engineering school ISIMA.
StreamlitChallenge
30 Days of Streamlit 🎈, self-paced 30 day challenge that teaches me how to build and deploy data apps with Streamlit.
SysOpsToolkit
A repository of essential system commands and scripts for efficient system administration.
Time-Series
Exercices from Kaggle course, I learned the application of modern machine learning methods to time series data with the goal of producing the most accurate predictions.
unit3_Project
This the final project for the unit 3 ( Classical) Machine Learning