Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

MATLAB-based ML model for submission classification

To build a predictive model using machine learning to predict the probability of a device failure. When building this model, be sure to minimize false positives and false negatives. The column you are trying to Predict is called failure with binary value 0 for non-failure and 1 for failure.

Predicting wine quality scores based on sensory data using machine learning models in Python

Lab Assignments of Course Web Mining (CSE-3024)

A.Nezamisafa

Data Science project that uses popular machine learning techniques to perform HR analytics. The dataset contains employee information from IBM and is linked in the readme.

Made to classify the different species of the Iris flower🌼

Uber_fare_prediction. This model based on machine learning. This model predicts 89% accuracy.

Data Science Major Project Completed in IT Vedant Institute using Machine learning algorithms

Machine Learning based Fault Detection in machines using sensor data

A repository with our team's final Python project in MGMT 590 Analyzing Unstructured Data course at Krannert School of Management, Purdue University.

The labs cover the full breadth of machine learning concepts—from linear models and optimization to decision trees, ensemble methods, kernel-based SVMs, unsupervised learning, Bayesian inference, and explainable AI—through a mix of theory, Python coding, and real-world datasets.

Precision Tree Module for precision decision analysis, supporting custom nodes (Decision, Chance, and Payoff) with visualization and optimal path calculation.

OpenCV Machine Learning samples

Compilación de trabajos realizados en la asignatura de Machine Learning con Python

An investigation into London Fire Brigade's callout data.

This Repository is based on data preprocessing of our dataset and implementing ml and dl models

This repository contains a data science project that focuses on predicting the survival of passengers aboard the Titanic during the tragic disaster. The goal is to build a machine learning model that can accurately predict whether a passenger survived or not based on various features such as socio-economic status, age, gender, and more.