This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.
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Updated
Oct 30, 2023 - R
This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.
Statistical Machine learning using Supervised learning approach
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
Stochastic Gradient Descent for Supervised Machine Learning
This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
Supervised learning models, an assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021
This code is part of my doctoral research. The aim choose the best partition generated.
Projects of Machine Learning and DataMining - course followed at Université de Technologie de Compiegne (UTC) France.
Customer Churn project for a telecom firm. The project aims to predict the possibility of a customer to churn by using methods of Data Analysis and Machine Learning with sound accuracy and justifies its result by showing the expected cost-benefit from following their recommendations.
computational multivariate statistics course, scripts for data analysis and classification
Supervised amd Unsupervised ML Algorithms in R
Using association rules to understand which variables affect each other, either negatively or positively or independently.
Use a variety of data science techniques to detect whether a tax return is fraudulent or not.
Machine Learning algorithms in R
Random Forest algorithm demonstration
Neural Network algorithm demonstration
This code is part of my doctoral research. The aim is to generate a specific version of random partitions for multilabel classification.
Classical Linear Regression
Partitioning Clustering Analysis of Vehicles Data
Trying to predict car acceptability based on Decision Tree Classifier. Supervised Learning.
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