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	3.4 Modeling Data Patterns (Derek Fawcett) View
	Lesson 3.4 - Linear Models (Patricia Blodgett) View
	3.4 Springtime: eXplainable Machine Learning techniques for spatio-temporal phenological modelling (Center of Expertise in Big Geodata Science) View
	3.4 Huffman Coding - Greedy Method (Abdul Bari) View
	3.4. Potential outcomes model (NPTEL-NOC IITM) View
	Curve Fitting with Exponential and Logarithmic Models (Marcia Pecek) View
	TREEADS Course 3.4 Training and evaluation of ai models for wildfire detection (TREEADS PROJECT) View
	3.4 The Fundamental Tradeoff of ML [Applied Machine Learning \|\| Varada Kolhatkar \|\| UBC] (Applied Machine Learning ) View
	Computational Thinking: What Is It How Is It Used (College \u0026 Career Ready Labs │ Paxton Patterson) View
	SABR Volatility Model and its Calibration in Python (Statistics and Risk Modeling) View