🤖📊 Machine Learning in Data Science | Complete Beginner-Friendly Explanation
Автор: ACTE Technologies Bangalore
Загружено: 2025-11-29
Просмотров: 1
Описание:
In this video, we dive into the role of Machine Learning (ML) in Data Science, explaining how ML helps in making predictions, identifying patterns, and solving real-world problems. This session is designed for beginners, students, and anyone who wants to understand how Machine Learning fits into the Data Science workflow.
You’ll also see simple examples, practical explanations, and real-time insights to make learning easier.
🔍 What You Will Learn:
What is Machine Learning in Data Science?
Importance of ML for modern data analysis
Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
How ML improves decision-making
Real-world applications of Machine Learning
Steps in building an ML model
Introduction to ML tools & libraries (Pandas, NumPy, Scikit-learn)
Examples and use cases
🧠 Why Machine Learning Is Important in Data Science
Machine Learning helps Data Scientists to:
Predict future trends
Analyze large datasets quickly
Detect patterns and anomalies
Build intelligent systems
Improve business performance
Automate decision processes
ML is the heart of Data Science, powering projects in finance, healthcare, marketing, cybersecurity, and more.
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