Linear Regression | End to end project explained | Pune Housing Data | In Hindi [Lecture 20]

Detailed project explained from scratch to end.

In this video, we walk you through the essential steps of building a machine learning model from start to finish.

📌 Video Chapters:
00:00 - Overview of steps in building a machine learning model
01:29 - Problem Definition
04:06 - Data Collection
05:06 - Data Exploration
10:39 - Data Processing
37:52 - Model Selection & Training
38:55 - Model Evaluation
41:15 - Hyperparameter Tuning
43:17 - Checking for Assumptions
47:10 - Accuracy Improvement
51:10 - Insights and Recommendations

🎓 Meet Your Instructor
Pritam Kudale, an experienced AI educator with 10+ years of expertise, is dedicated to equipping educators with modern AI/ML teaching strategies and tools.

🔗 Connect with Pritam Kudale: LinkedIn Profile   / pritam-kudale-90793236  

🔗 Relevant Links:
Check out more resources in the description below for datasets, code snippets, and additional reading material :
https://github.com/pritkudale/ML-for-...
https://github.com/pritkudale/Code_fo...

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