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Junny31

Junny Tayou

Recently Published

Bayesian algorithm to predict spam sms messages
Using Naves Bayes algorithm to generate a classification model that can predict whether or not a text message is spam with great accuracy.
Identification of items that are usually bought together from a grocery store using market basket analysis
Determine the relationship between 2 Nominal variables
Using 2-way cross-tabulation to determine the relationship between 2 variables
Logistic Regression: Predicting the factors that determined the survival of the passengers that boarder the Titanic
Text mining using Latent Dirichlet allocation (LDA) algorithm
Linear regression: Prediction of the medical expenses of people enrolled an insurance program
Text mining and Bayesian classification
Use of k-NN algorithm to classify breast cancer as benign or malignant
Detection of breast cancer involves examination of breast tissue for abnormal lumps. If a mass is detected, a tiny sample is extracted using a fine-needle. This biopsy is then examined microscopically by a histopathologist to determine whether or not the mass is benign or malignant. If we can automate this microscopic examination process via machine learning, we could significantly reduce the bias in the diagnostic process.