Simple Machine Learning Models using R Programming

Machine learning simplifies complex decision-making by enabling computers to learn patterns from data. R programming offers an accessible and flexible environment for implementing machine learning algorithms. Simple Machine Learning Models using R Programming introduces foundational models like linear regression, decision trees, clustering, and classification. It emphasizes hands-on learning through examples and step-by-step R implementations. Readers gain practical skills in data analysis, model evaluation, and performance optimization. The book bridges theoretical understanding with real-world applications, serving as a beginner-friendly guide for data enthusiasts and professionals.

Mohsen Nady is a pharmacist with a M.D. in Microbiology and a Diploma in Industrial Pharmacy. Besides, Mohsen has more than 10 years of experience in Statistics and Data Analytics. Mohsen has applied his skills to different projects related to Genomics, Microbiology, Biostatistics, Six Sigma, Data Analytics, Data Visualization, Building Apps, Geography, Market Analysis, Business Analysis, Machine Learning, etc. Mohsen also published his thesis in a high-impact journal that attracted many citations, where all the statistical analyses were performed by him in addition to the methodological part. Furthermore, Mohsen has earned different certificates, from top universities (Harvard, Johns Hopkins, Denmark, etc) in Statistics, Data Analytics, Data Visualization, and Machine Learning that highlight his outstanding diverse skills.