Types of Problems Machine Learning Solves | Join CodeSquadz to Become an ML Engineer

Описание: Machine learning is used to solve some of the most important real-world problems across every industry.
In this video, we explain the Top 5 Types of Problems that Machine Learning Solves in a simple and beginner-friendly way. Whether you’re a student, beginner, or someone planning a career in data science or AI, this breakdown will help you understand how ML is used in the real world.
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🔹 1. Classification Problems

Classification is used when the task is to assign data into categories.
Examples:
– Spam vs Not Spam
– Cat vs Dog image
– Disease prediction (yes/no)
– Fraud vs Genuine transaction

Classification helps machines make decisions based on patterns.

🔹 2. Regression Problems

Regression is used when the output is a continuous number.
Examples:
– House price prediction
– Stock price forecasting
– Temperature prediction
– Sales forecasting

Regression helps businesses plan and predict future outcomes.


🔹 3. Clustering Problems

Clustering is used when the system needs to group similar data without labels.
Examples:
– Customer segmentation
– Market research
– Social media audience grouping
– Fraud pattern analysis

Clustering helps companies understand user behaviour.


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🔹 4. Recommendation Problems

Recommendation systems suggest the best options to users.
Examples:
– Netflix movie suggestions
– Amazon product recommendations
– YouTube recommended videos
– Music playlist recommendations

These systems personalize the user experience.