Results for "machine-learning"
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California Housing Price Prediction: Random Forest + Sklearn Pipeline
Introduction — Problem Kya Hai? Socho tumhare paas California ke hazaron ghar ka data hai — unki location, age, rooms, income of people — aur tumhara kaam ha...
Understanding Accuracy and Evaluation Metrics in Machine Learning
Learn accuracy and ML evaluation metrics with simple Hinglish explanations, formulas, examples, and real-world use cases for better model performance.
Complete Guide to Anaconda, Conda, and Jupyter for Beginners
Master Anaconda, Conda, and Jupyter Notebook from scratch. Learn installation, environments, packages, and data science workflows in one complete guide.
Matrices
Definition A matrix is a rectangular array of numbers , symbols, or expressions arranged in rows and columns. Types of Matrices Square Matrix : A matrix wi…
What is Resilient Distributed Datasets (RDDs)
Resilient Distributed Datasets (RDDs) are a data structure of Apache Spark. They represent an immutable, distributed collection of objects that can be proc…
How to use Window Functions in PySpark
Absolutely! Let’s break it down and explain each PySpark window function with examples using your code and dataset. I’ll categorize the functions into thre…