Machine Learning for Apps
Course Overview Machine learning is shaping the future of app development. Our Machine Learning for Apps course teaches you how …
0 Students
Unlock 3,000+ Courses & Unlimited Free Digital Certificates for £99 Only! Grab Now
Course Overview
Machine learning is shaping the future of app development. Our Machine Learning for Apps course teaches you how to create intelligent applications using Python, classification models, neural networks, and Core ML basics. This comprehensive course equips you with essential skills to build smarter and more efficient apps.
Whether you are starting out or expanding your skill set, this course guides you step-by-step. By the end, you will confidently develop a handwriting recognition app and understand the core principles of machine learning for app development.
Description
The Machine Learning for Apps course combines essential concepts with step-by-step learning. It ensures you gain the skills needed to develop intelligent apps and integrate machine learning into your projects.
What You’ll Learn:
- Python Basics
- Classification Models
- Handwriting Recognition Apps
- Core ML Basics
- Model training and Deployment
Who Is This Machine Learning Course Course For?
This course is ideal for:
- Aspiring Data Scientists: Build a strong foundation in machine learning and Python.
- IT Professionals: Learn how to integrate machine learning into applications.
- Beginners and Students: Start your machine learning journey without prior experience.
- Aspiring App Developers: Gain the knowledge needed to create intelligent apps.
Certificate of Achievement
Upon completion, you will receive a CPD Accredited Certificate recognised globally. You can choose the format that suits you best:
- PDF Certificate: Only £2.99.
- Hard Copy Certificate: Only £8.99.
This credential validates your expertise and enhances your professional profile.
Requirements For Machine Learning Course
To enrol in this course, you need:
- A device with a stable internet connection.
- Basic computer literacy.
- A willingness to learn and explore new opportunities in data science.
Career Path
This course prepares you for roles such as:
- Data Scientist
- Machine Learning Engineer
- App Developer
- Predictive Modelling Specialist
- Software Developer
Course Curriculum
| Section 01: Intro to Course | |||
| What is Machine Learning? | 00:08:00 | ||
| Basics of Machine Learning | 00:07:00 | ||
| Installing Anaconda / Python Environment | 00:07:00 | ||
| Downloading / Setting Up Atom and Plugins | 00:09:00 | ||
| Section 02: Python Basics | |||
| Variables in Python | 00:08:00 | ||
| Functions, Conditionals, and Loops in Python | 00:10:00 | ||
| Arrays and Tuples in Python | 00:14:00 | ||
| Importing Modules in Python | 00:05:00 | ||
| Section 03: Building a Classification Model | |||
| What is scikit-learn? Why use it? | 00:04:00 | ||
| Installing scikit-learn and scipy with Anaconda | 00:03:00 | ||
| Intro to the Iris Dataset | 00:03:00 | ||
| Datasets: Features and Labels Explained | 00:08:00 | ||
| Loading the Iris Dataset / Examining and Preparing Data | 00:09:00 | ||
| Creating / Training a KNeighborsClassifier | 00:10:00 | ||
| Testing Prediction Accuracy with Test Data | 00:12:00 | ||
| Building Our Own KNeighborsClassifie | 00:18:00 | ||
| Section 04: Building a Convolutional Neural Network | |||
| What is Keras? Why use it? | 00:08:00 | ||
| What is a Convolutional Neural Network (CNN)? | 00:27:00 | ||
| Installing Keras with Anaconda | 00:05:00 | ||
| Preparing Dataset for a CNN | 00:18:00 | ||
| Building / Visualizing a CNN using Sequential: Part 1 | 00:14:00 | ||
| Building / Visualizing a CNN using Sequential: Part 2 | 00:20:00 | ||
| Training CNN / Evaluating Accuracy / Saving to Disk | 00:18:00 | ||
| Switching Python Environments / Converting to Core ML Model | 00:14:00 | ||
| Section 05: Building a Handwriting Recognition App | |||
| Intro to App-Handwriting | 00:03:00 | ||
| Building Interface / Wiring Up | 00:12:00 | ||
| Drawing on Screen | 00:21:00 | ||
| Importing Core ML Model / Reading Metadata | 00:05:00 | ||
| Utilizing Core ML / Vision to Make Prediction | 00:18:00 | ||
| Handling / Displaying Prediction Results | 00:15:00 | ||
| Section 06: Core ML Basics | |||
| Intro to App -Core ML Photo Analysis | 00:04:00 | ||
| What is Machine Learning? | 00:08:00 | ||
| What is Core ML? | 00:05:00 | ||
| Creating X code Project | 00:03:00 | ||
| Building Image VC in Interface Builder / Wiring Up | 00:08:00 | ||
| Creating Image Cell | 00:08:00 | ||
| Creating Food Items Helper File | 00:07:00 | ||
| Creating Custom 3×3 Grid UI Collection View Flow Layout | 00:09:00 | ||
| Choosing, Downloading, Importing Core ML Model | 00:05:00 | ||
| Passing Images through Core ML Model | 00:12:00 | ||
| Handling Core ML Prediction Results | 00:10:00 | ||
| Challenge –Core ML Photo Analysis | 00:01:00 | ||
Certificate of Achievement
Upon completion, you will receive a CPD-accredited certificate recognised globally. Choose from:
Pdf Certificate & Transcript £7.99
Hardcopy Certificate & Transcript £17.99
This certification validates your knowledge and skills, boosting your employability in healthcare.
Exclusive Deal! 95% Off, Today Only!
Offer Ends Soon
Take All courses for £49
Access
Level
Number of Units
Duration
- Original price was: £424.00.£29.99Current price is: £29.99.
- 1 year
- Intermediate
- Number of Units42
- Number of Quizzes0
- 6 hours, 53 minutes Gift this course
14-Day Money-Back Guarantee
Exclusive Deal! 95% Off, Today Only!
Discounted Total:- 50% discount for orders of 10+ courses
- 60% discount for orders of 50+ courses
- 70% discount for orders of 100+ courses