Hybrid Python3|Swift4 Applications
4.1 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,015 students enrolled

Hybrid Python3|Swift4 Applications

Data Science for Swift/Python Hackers.
4.1 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,015 students enrolled
Created by Brian Rouse
Last updated 10/2017
English
English [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1 hour on-demand video
  • 1 article
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Anaconda
  • Jupyter
  • iPython
  • scikit-learn
  • Accelerate Framework
  • Basic Neural Network Subroutines (BNNS)
  • Build Cancer Predicting Neural Network
  • Build Swift BIRADS App!
Course content
Expand all 9 lectures 01:13:49
+ KNN CLASSIFIERS
1 lecture 19:03

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.

Preview 19:03
+ LOGISTIC REGRESSION
1 lecture 06:24

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.

LOGISTIC REGRESSION
06:24
+ BUILD BIRADS CANCER DIAGNOSIS APP WITH SWIFT!
3 lectures 26:18
BIRADS UI Overview
06:48
BUILDING UI: PART 1
08:21
BUILDING UI: PART 2
11:09
Requirements
  • Students should have an intermediate knowledge of an OOPL.
Description

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! 

Who this course is for:
  • iOS Developers interested in Data Science && Machine Learning on a greater level than coreML.