Beschreibung:
A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.
Python: Introduction and Environment Set up. Basic Python Programming. Biopython. Python for Data Analysis. Python for Data Visualization. Principal Component Analysis. Hands-on Projects. Machine Learning and Linear Regression. Logistic Regression. K-Nearest Neighbors (K-NN). Decision Trees and Random Forests. Support Vector Machines. Neural Nets and Deep Learning. The Machine Learning Project. Natural Language Processing. K-Means Clustering.