Why data analysis? , How to understand the problem, what to do for data analysis, and how clean the data for building Machine Learning models

Các khái niệm cơ bản về Machine Learning. Các kỹ thuật tiền xử lý dữ liệu. Giới thiệu tổng quan về thuật toán regression, classification, neural-network

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

Embark on a journey of data-driven insights with our diabetes research project. Leveraging Python's pandas, matplotlib, and scikit-learn, we preprocess, visualize, and analyze 330 health features. Employing logistic regression, decision trees, KNN, and SVM, we predict diabetes with precision.

The Secure Attendance System based on Blockchain Technology is a decentralized application attendance record on Ethereum and Biometric fingerprint Authentication on MongoDB.

Datamining - Trabajo Práctico 1 - Preprocesamiento de datos

RNN that generates a new, "fake" TV script, based on patterns it recognizes in this training data. Deep Learning Nanodegree project.

In this project, Exploratory Data Analysis approach is applied to analyse a dataset of car advertisement in a web, to determine what factors correlate with a car's selling price.

Titanic dataset analysis using NumPy and Matplotlib, includes preprocessing, feature engineering, statistical analysis, and visualizations to explore survival patterns.

Supervised Machine Learning study to predict the student dropout in the Instituto Politécnico de Portalegre (IPP) dataset. INF01017 Aprendizado de Máquina, 2024/2.

Classify malware dataset and evaluate the impact of obfuscation techniques on model performance.

Uso da linguagem Python e da biblioteca Pillow para converter a cor de imagens, a fim de aumentar a eficiência de modelos de Machine Learning.

Pre-processing datasets, tokenizing, employing LDA and MultinomialNB algorithm.

The model aimed at prediction of employee's salary

8-Data Mining Prediction - Comprehensive K-Means clustering tutorial with step-by-step Python implementation, including normalization, elbow and silhouette methods, cluster visualizations and applications in image segmentation, Monkey analysis, and other clustering tasks.