BPLIT

03/09/2025

Don’t wait for the perfect course to be professional developer,

• Build a Weather Dashboard with OpenWeather API
• Build a Blog Platform with Flask + SQLAlchemy
• Build a Music Player with JavaScript
• Build a Task Automation Script with Python
• Build a Notes App with React Native
• Build a Price Tracker with BeautifulSoup
• Build a Portfolio CMS with Strapi
• Build a Chatbot with LangChain

You don’t need more tutorials. You need practice.

21/07/2025

Multiclass Classification
Ever wondered how your phone knows whether a photo contains pizza, sushi, or salad?
That’s Multiclass Classification !

It’s helping machines choose the right category when there are more than two options.

It’s the next step after binary classification and a must-know for real-world ML applications.

📌 Definition:

Multiclass classification is a supervised learning technique where a model learns to assign inputs to one of three or more distinct classes.

🔍 Examples:

• Image recognition
• Handwriting recognition
• News sorting

✨ Why it matters?

Real-world problems are rarely just yes or no.
Multiclass classification powers tools we use every day from photo filters to recommendation engines and smart assistants.

21/07/2025

Binary Classification

Ever wondered how Netflix knows what to recommend or how Gmail spots a spam mail

Binary Classification helps machines make a yes or no decision about classifying a category.

📌 Definition:
It’s a supervised learning technique where the model learns to classify input data into two distinct classes
🟰 A decision boundary that separates the two classes.

Why it matters:

Binary classification is the starting point for most real-world ML applications from email filters to fraud detection systems.

21/07/2025

21/07/2025

Clustering- Groups similar data points into clusters without predefined groups or outcomes. For example, you can use clustering to group music into genres based on its characteristics.

21/07/2025

Regression - Predicts continuous numeric values, such as prices.

21/07/2025

Classification - Predicts categorical labels or classes for data. For example, you can use classification to determine if an animal is a cat or a dog.

21/07/2025

We can use machine learning to solve a classification, Regression or clustering problem.

21/07/2025

Machine learning Models/Algorithms

20/07/2025

How Machine Learning work

20/07/2025

Types of Machine Learning