Attempt to predict future stock prices based on Google Trends data.

A project focused on anomaly detection within web authentication systems, employing both supervised and unsupervised machine learning techniques to enhance security by pinpointing and analyzing unusual activities.

we predict that the patient is suffering with heart attack or not

Speech to Emotion Recognizer for BI mini project

An interactive Streamlit web app for Iris flower species classification using an Artificial Neural Network style model. The project includes a dashboard for entering flower measurements, predicting the Iris species, viewing confidence scores, exploring the dataset, and understanding the model workflow.

Gain a complete and accurate understanding of the disease you’re dealing with.

Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models

One of the simplest examples in image processing is the recognition of handwritten digits. This means that by receiving a photo of a handwritten number, the computer can recognize what number it has entered

💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.

Handwritten digit classification using the MNIST dataset and Neural Network (MLPClassifier) with image preprocessing, normalization, model evaluation, confusion matrix visualization, and prediction analysis.

In this project we will bill build models that can classify handwritten digits.

Progetto per l'esame di Introduzione alla Data Science del Master Mobile e Web Technologies XIV 2021/2022

Speech Emotion Recognition for Audio Data

Bachelor thesis work: Debugging of a counterfactual-explanation library (CFNOW) and its usage in the context of eXplainable Affective Computing. Final evaluation: 30/30.

Student dropout predictions based on grades and other info. Classification problem with MLPClassifier.

Codenrock's New Year's ML Marathon

Sports betting is the activity of predicting sports results and placing a wager on the outcome.

Code for my Medium article: "How you can quickly deploy your ML models with FastAPI"

Exemplos práticos