Kaggle competition

Decision Tree for classifying Poisonous/Edible Mushrooms

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…

This is an implementation of improved Fuzzy Rough QuickReduct algorithm

Project made for Advanced Methods in Machine Learning subject at MINI PW

Machine Learning / Multivariate Statistik in Python

Machine learning models for making predictions of titanic survivors

Implementation of Genetic Algorithms using Python

EDA + ML model building for classification task.

This is a package for improving maching learning, contain all of components, you can very easy use it for traning a model and deploying from original data.

Machine learning with sklearn

To predict the chances of cancellation of hotel rooms

Investigation of various feature importance strategies.

Modelo de boosting que a partir de los datos del usuario de una fintech predice si activaría la tarjeta de debito que ofrece la misma empresa, y en cuantos dias lo haría

Image Classification: Feature Selection, Data Augmentation, and Transferred Learning through Nvidia GPU acceleration.

Detail Exploratory Data analysis, Feature Engineering and Feature Selection for Statistical Analysis

Information gain of a car dataset was calculated in this notebook

Feature Selection of Feature Engineering

Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.