“Build real AI skills by understanding machine learning algorithms, working with data, and creating predictive models used in real-world applications.”
Course Content
Machine Learning Basics
Data Handling
Algorithms Basics
Python for AI
Model Training
Simple AI Project
What is Machine Learning
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Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
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Real-World ML Applications
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Introduction to Data in AI
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Data Collection and Cleaning
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Training vs Testing Data
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Linear Regression
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Decision Trees
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Clustering (K-Means basics)
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NumPy Basics
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Pandas Basics
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Matplotlib for Visualization
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What is Model Training
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Overfitting vs Underfitting
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Model Evaluation Basics
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Build a Basic Prediction Model
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Test the Model
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Improve Accuracy
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Final Quiz
AI Intermediate Assessment
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