Data Analysis and Predictive Analysis of Algorithms on the Titanic Dataset

"TensorFlow Image Classification Project" This project demonstrates image classification using TensorFlow. The CIFAR-10 dataset, consisting of 60,000 32x32 color images across 10 classes, is explored and analyzed. Key components include data loading, dataset characteristics, and a machine learning model built using the functional API.

This repository is for Fake News Detection using Deep Learning models

Interactive UI for understanding how a confusion matrix work in machine learning classification.

Build an algorithm to best identify potential donors of CharityML

Analysis to predict the trust value of a borrower, such a way the bank sanctions the loan or not

A National Scale architecture for preemptive diagnosis and medical planning.

Interactive confusion matrix - change numbers of different types of results and see how the derived statistics change

Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.

This project analyzes to two datasets to help make better decisions for our client Budweiser. This is done as a Midterm Project for DS6306 at Southern Methodist University.

Using information retrieval to help an emerging local artist boost its streams

Introduction to Machine Learning course - Spring 2021 - Supervised and Unsupervised Learning, KNN Classification Models, Naive-Bayes Classifier, Regression Analysis, K-Means and DBSCAN Clustering Analysis, Association Rules and PCA, Confusion Matrix, Normalization, Dummy Variables.

Detecção de Fraudes no Tráfego de Cliques em Propagandas de Aplicações Mobile

AutoValuate: A machine learning-driven tool for classifying used car prices as high or low, enabling smarter decisions in the car resale market.

Feature Engineering and Prediction of Survivors on the Titanic Dataset

Program performs text classification using BERT vector with Logistic Regression and Neural Network Models.

Predicting Bank note genuine or not.

This includes various assignments I worked on learning Data Mining in R Studio

Predicting whether or not a cell has cancer.