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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.
In this resp, You will have chance to explore Basic AI Projects (5)
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
a web application for spam emails detection
Implémentation d'une pipeline permettant de faire la prédiction de la maladie de parkinson via des outils d'IoT, Cloud, et Big Data
Projeto final da disciplina de Machine Learning (2022.2).
This project aims to classify wine into two different categories: red wine or white wine using various machine learning algorithms and performing their evaluation.
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.
End-to-End Machine Learning/Data Science Project
Diabetic Patients' Re-admission Prediction. This project is part of the DA380A HT24 Machine Learning course at Kristianstad University.
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.
A very simple neural network implementation in python.
This project aims to predict movie ratings based on various features using machine learning techniques. It is then deployed using a web application built with Streamlit, allowing users to input movie attributes and receive predicted ratings.
A portfolio of all of the various Kaggle competitions and projects I have participated in, which mostly revolves around machine learning.
AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn
This is a "Big Mart Sales Prediction Project" using python programming language.
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.
Parkinsons Disease Detection using Machine Learning
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.
Anotações e exercícios resolvidos do livro "Projetos de Ciência de Dados com Python: Abordagem de estudo de caso para a criação de projetos de ciência de dados bem-sucedidos usando Python, pandas e sickit-learn.
The Resume Categorization App helps automate the process of categorizing resumes into different job domains using machine learning. It provides a user-friendly interface for uploading resumes, categorizing them, and downloading the results.
Spotify Playlist Creator in Python using KNN algorithm
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
This is projected is working on zomato restaurants focusing analysing the data and predicting whether the restaurant is good or not based on other features and finally deploying the app.
Model Predicting If someone defaults from loan payment (Classification)
K-means Model to categorize Mall customers into different clusters based on their spending habits
This Project utilizes 3 Decision Tree Algorithms to make stroke Prediction models