Hybrid Python3|Swift4 Applications

Hybrid Python3|Swift4 Applications, available at Free, has an average rating of 4.25, with 9 lectures, based on 11 reviews, and has 4543 subscribers.

You will learn about Anaconda Jupyter iPython scikit-learn Accelerate Framework Basic Neural Network Subroutines (BNNS) Build Cancer Predicting Neural Network Build Swift BIRADS App! This course is ideal for individuals who are iOS Developers interested in Data Science && Machine Learning on a greater level than coreML. It is particularly useful for iOS Developers interested in Data Science && Machine Learning on a greater level than coreML.

Enroll now: Hybrid Python3|Swift4 Applications

Summary

Title: Hybrid Python3|Swift4 Applications

Price: Free

Average Rating: 4.25

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Anaconda
Jupyter
iPython
scikit-learn
Accelerate Framework
Basic Neural Network Subroutines (BNNS)
Build Cancer Predicting Neural Network
Build Swift BIRADS App!

Who Should Attend

iOS Developers interested in Data Science && Machine Learning on a greater level than coreML.

Target Audiences

iOS Developers interested in Data Science && Machine Learning on a greater level than coreML.

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!�

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Chapter 2: KNN CLASSIFIERS

Lecture 1: KNN CLASSIFIERS

Chapter 3: LOGISTIC REGRESSION

Lecture 1: LOGISTIC REGRESSION

Chapter 4: BUILD BIRADS CANCER DIAGNOSIS APP WITH SWIFT!

Lecture 1: BIRADS UI Overview

Lecture 2: BUILDING UI: PART 1

Lecture 3: BUILDING UI: PART 2

Chapter 5: BUILD BIRADS CANCER DIAGNOSIS APP: Final Project

Lecture 1: BIRADS: Code App

Lecture 2: BIRADS Final Project

Lecture 3: Bonus Lecture: Free Bonus Courses

Instructors

Brian Rouse
Data Scientist / iOS Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 4 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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