persian Ham Spam detector with python, hazm, nltk and nlp.

Welcome to the official GitHub repository for the "Machine Learning" course 2024! In this course, we explore the fascinating world of machine learning, diving deep into the algorithms, techniques, and tools that enable computers to learn from data and make intelligent decisions.

This project involves cohort analysis and customer segmentation to help an e-commerce giant improve its product offerings, customer relations and maximize profit.

The goal of this assignment is to perform an in-depth analysis of a dataset containing information about cars and fuel consumption. We will use Python for the solution, leveraging libraries such as Pandas for data manipulation and analysis, and NumPy for numerical operations.

End-to-End Machine Learning/Data Science Project

this repository contains two projects : the first it s applying ML algorithm (Logistic regression) for classification on Titanic dataset From scratch and with use Sickit-Learn and the second for analyze this data : Understanding data - data preprocessing

The code below is for a machine learning project that builds a regression model using different algorithms and evaluates their performance.

Machine Learning model trained to predict prices of real estate properties in Belgium

L'objectif de cette étude est de définir à partir des enquêtes d'insertion professionnelles réalisé par le ministère de l'enseignement supérieur si le salaire moyen annuel brut permet lmoyen permet de faire partie des 30% des français les plus riches

Projeto final da disciplina de Machine Learning (2022.2).

This project analyzes and predicts Apple stock prices using historical data. The analysis includes data visualization and linear regression for predicting stock prices

This project aims to classify wine into two different categories: red wine or white wine using various machine learning algorithms and performing their evaluation.

The project involves analyzing transactions and classifying them into fraudulent and non-fraudulent through Machine Learning techniques.

Market size analysis is essential in market research as it defines potential sales volume within a specific market. It aids businesses in gauging demand, evaluating market saturation, and pinpointing avenues for growth. # For those interested in mastering market size analysis for any product, this article provides a comprehensive guide.

Developed a predictive model to classify individuals into one of seven weight categories (ranging from insufficient weight to obesity type 3) based on various personal factors using diverse neural network architectures.

Developed a sentiment analysis model to classify tweets as positive, negative, or neutral. Preprocessed the dataset by cleaning the text for analysis. Conducted EDA with visualizations to gain insights into public opinion. Implemented NLP techniques and machine learning models for sentiment classification, revealing perceptions on Twitter.

Implémentation d'une pipeline permettant de faire la prédiction de la maladie de parkinson via des outils d'IoT, Cloud, et Big Data