Learnby Krutik Parikh
Machine LearningIntermediateNew

Build Your First ML Model

Step-by-step tutorial: create a house price prediction system from scratch.

14 Lessons

What You'll Learn

Complete machine learning workflow
Setup Python environment
Work with datasets using pandas/numpy
Build and train prediction model
Evaluate model performance
Deploy for real-world use

Prerequisites

Python fundamentalsBasic statisticsLinear algebra basics

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Step 1: Understanding What We're Building

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🎯 House Price Predictor

Build ML model: house features → price prediction

Tools: pandas, numpy, scikit-learn, matplotlib

Steps: Setup → Data → Visualize → Train → Test → Deploy

📊 Tutorial Progress

Step-by-step guidance | Follow along with code examples

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Additional Resources

Complete Code File
documentation
Kaggle House Prices Dataset
tool
Scikit-learn User Guide
documentation
Python Data Science Handbook
documentation
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