M. S. Lori – AI for Science

Outlier or Anomalies, Detection and Removal

Outlier-Detection

Outliers are values that significantly differ from other observations in a dataset, potentially suggesting variations in measurement, experimental errors, or the presence of…

Probability Theory (Naïve Bayes Classification)

Probability Theory

Probability Theory (Naïve Bayes Classification)

Kmeans Clustering

Clustering

In this post, we do a segmentation analysis for the Customer data set

Regression Machine Learning Methods

Regression

In this post, we use some regression machine learning methods on a dataset and make a comparison of outcomes for different methods. The applying methods are 1- Random…

Spray Cooling Prediction by ML and DL

Paper

In this post, we have applied some ML and DL algotihms on a dataset compiled from previous studies in the literature about spray cooling systems. The target variable is…

Implement Different Classification Models

Classification

In this post, we try to apply different classification models on a real data. In addition, we provide tables and diagrams for optimized hyperparameters.