luisezequielmunoz

People-Analytics-Absenteeism-Data-Cleaning

The goal of this project is to apply certain Data Cleaning techniques to prepare the dataset, which will be further analyzed. Pandas and NumPy are the main libraries used in this project.

ab-testing-adobe

A/B Testing - New homepage Adobe Creative Cloud

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

end_to_end_students

Fraud-Credit-Card-Project

ML models development to check how accurate they perform in detecting whether a transaction is a normal payment or a fraud.

KMeans-Country-Clustering-Project

Obtain insights regarding countries similarities by experimenting with different number of clusters and features. KMeans implemented.

KNN-Rock-Mine-Detection

Developing K-Nearest Neighbors (KNN) model - Two approaches: GridSearchCV with no pipeline implementation and GridSearchCV with pipeline implementation

Logistic-Regression-Heart-Disease-Project

The goal of this project is to develop a classification model to predict whether or not a person has presence of heart disease..

luisezequielmunoz

luisezequielmunoz/luisezequielmunoz

luisezequielmunoz/end_to_end_students

luisezequielmunoz/deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

luisezequielmunoz/People-Analytics-Absenteeism-Data-Cleaning

The goal of this project is to apply certain Data Cleaning techniques to prepare the dataset, which will be further analyzed. Pandas and NumPy are the main libraries used in this project.

luisezequielmunoz/Fraud-Credit-Card-Project

ML models development to check how accurate they perform in detecting whether a transaction is a normal payment or a fraud.

luisezequielmunoz/KMeans-Country-Clustering-Project

Obtain insights regarding countries similarities by experimenting with different number of clusters and features. KMeans implemented.

luisezequielmunoz/ab-testing-adobe

A/B Testing - New homepage Adobe Creative Cloud

luisezequielmunoz/udemy-feml-challenge

luisezequielmunoz/coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

luisezequielmunoz/Support-Vector-Classifier-Machine

with margin visualizations for SVC & SVM

luisezequielmunoz/KNN-Rock-Mine-Detection

Developing K-Nearest Neighbors (KNN) model - Two approaches: GridSearchCV with no pipeline implementation and GridSearchCV with pipeline implementation

luisezequielmunoz/Logistic-Regression-Heart-Disease-Project

The goal of this project is to develop a classification model to predict whether or not a person has presence of heart disease..