
Students will be introduced to Anaconda, Jupyter, iPython, as it is taught from an iOS Developers point of view! Students will learn KNN, a supervised algorithmic classification used in Data Science.
Using the Wisconsin Breast Cancer Data Set, students will build on their knowledge of Supervised Deep Learning with the Logistic Regression algorithm. The algorithm will be used in the final Swift Project, BIRADS.
BI-RADS DATA SCIENCE FOR SWIFT/PYTHON HACKERS, is a course designed by an iOS Developer for iOS and Python Developers. In this course you will delve into Data Science on a level past using coreML for Machine Learning.
You will learn iPython enough to implement algorithms used in Data Science with little effort. As a Swift Programmer you will find the syntax needed to flow through iPython in Jupyter a breeze!!!
After grasping a thorough knowledge of supervised learning in the first two sections, you will dive into xCode and write a Logistic Regression Binary Based application.
In your final project, you will build BIRADS, a Breast Imaging-Reporting and Data System that takes the output data from a Neural Network and assigns a BI-RADS Category given input from the following features...
Sample code number ID number
2. Clump Thickness 1 - 10
3. Uniformity of Cell Size 1 - 10
4. Uniformity of Cell Shape 1 - 10
5. Marginal Adhesion 1 - 10
6. Single Epithelial Cell Size 1 - 10
7. Bare Nuclei 1 - 10
8. Bland Chromatin 1 - 10
9. Normal Nucleoli 1 - 10
10. Mitoses 1 - 10
11. Class: (1 for benign, 0 for malignant)
FULL SOURCE CODE APPLICATION INCLUDED!