Repositori ini berisi proyek data mining yang menganalisis perilaku pelanggan di sektor perbankan, dengan fokus pada prediksi churn. Dilengkapi dengan visualisasi data dan implementasi algoritma Naive Bayes untuk analisis lebih lanjut.

ML projects, which I worked on utilising different machine learning algorithms.

A Virtual Assistant integrated in TUP Website using NLP and Naive Bayes Algorithm

This repository provides a practical learning ground for data analysis with code and visualizations. Explore techniques like Apriori algorithm, EDA, K-Means clustering, and more!

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

Crypto is a mental health conversational AI chatbot that can help people from depression, anxiety, stress, etc.

Algoritmo de predicción para géneros en base al nombre de una persona

A dataset is taken from Kaggle and Naive Bayes algorithm is used to predict the salary of the employee

Componente central de processamento de linguagem natural, voltado para aplicações de aprendizado de máquina.

This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.

Welcome to a diverse collection of hands-on ML, AI, Python, and Data Science projects. Explore and learn through practical applications. Happy coding! 🚀

Effortlessly overcome language barriers with our Python tool, utilizing the Naive Bayes algorithm for language detection and English-to-French/Urdu translation. Backed by diverse datasets, it ensures precise results for seamless communication. Experience accurate linguistic processing without the complexity!

Machine learning Model

Trabalhos da disciplina de Inteligência Artificial Aplicada a Saúde

DocBot is a cutting-edge machine learning model built with a user-friendly Graphical User Interface (GUI) for seamless disease prediction based on input symptoms. By leveraging ML algorithms and intuitive design, DocBot provides accurate and accessible disease predictions, transforming the healthcare experience for users.

API based on flask using machine learning to detect spam comments. Use the URL for POST request

Streamlit app to detect if a comment is spam or not ?

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

Implementation of KNN and Naive Bayes Algorithm for Machine Learning from my university studies