TechFun

programming 2025

Master AI & Machine Learning — One Project at a Time

Explore the world of supervised learning, data classification, and AI lifecycles. Learn through real-world examples, hands-on projects, and expert-guided lessons. No experience needed — just curiosity and the will to learn.

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3 Core Approaches

Machine Learning

Supervised Learning

Uses labeled data — great for teaching models through examples.

Unsupervised Learning

Automatically groups data into patterns or clusters without labels.

Reinforcement Learning

Learns optimal behavior through trial and error — like training a robot with rewards and penalties.

What are you looking for?

Understanding Decision Trees

A powerful supervised learning model used to classify and predict data efficiently.

Decision Trees are a type of model that fall under supervised learning. They're often used to classify data by asking a series of questions and branching based on answers.

Decision trees consist of nodes: the top node is called the root, and each internal node represents a test on an attribute. The leaves represent class labels or outcomes.

Make it techfun

Every successful AI project goes through key stages.

How it works

Steps

Defining the Problem

What are we trying to solve?

Preparing the Data

Clean, organize, and label your dataset.

Training the Model

Teach the system using known data.

Testing the Model

Check how well it performs.

Evaluating the Results

Measure accuracy and reliability.

Explaining the Model

Make it understandable and transparent.

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