66 | BigQuery ML Tutorial | Train Machine Learning Models Using SQL Only | No Python Required
Can we build Machine Learning models without Python?
Absolutely! 🚀
In this hands-on BigQuery ML tutorial, you'll learn how to create, train, evaluate, and generate predictions using only SQL queries directly inside BigQuery.
No Python.
No Jupyter Notebooks.
No TensorFlow.
Study Material - https://drive.google.com/drive/folder...
Just SQL + BigQuery ML.
In this video, we use a real-world sales dataset to train a Machine Learning model that predicts expected sales quantity based on Product, Region, and Price.
📌 Topics Covered
✅ What is BigQuery ML?
✅ Why BigQuery ML?
✅ Upload CSV to BigQuery
✅ Create Dataset & Tables
✅ BigQuery ML Architecture
✅ Regression vs Forecasting
✅ Train First ML Model Using SQL
✅ CREATE MODEL Statement
✅ Model Types Explained
✅ LINEAR_REG
✅ BOOSTED_TREE_REGRESSOR
✅ ARIMA_PLUS Forecasting Model
✅ Evaluate Model with ML.EVALUATE()
✅ Generate Predictions with ML.PREDICT()
✅ Sales Prediction Demo
✅ BigQuery ML vs Google Cloud AI
✅ Real-World Use Cases
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🎯 Hands-On Demo
Input:
Product = Mobile
Region = Delhi
Price = ₹25,000
Output:
Predicted Sales Quantity = ?
Using BigQuery ML, we'll train a model and generate predictions directly with SQL.
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📚 Google Cloud AI & ML Series
Video 1 - Introduction to AI, ML, DL, GenAI & Google Cloud AI
Video 2 - Machine Learning Lifecycle Explained
Video 3 - Vertex AI Workbench (Managed Jupyter Notebooks)
Video 4 - Build Your First AI Model with AutoML
Video 5 - Model Evaluation Explained
Video 6 - BigQuery ML | Train ML Models Using SQL ✅
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#BigQueryML #BigQuery #MachineLearning #GoogleCloud #GCP #SQL #DataScience #ArtificialIntelligence #CloudComputing #Forecasting
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