Master Generative AI with 10+ Real-world Projects in 2025!
In this article, we will try players Selling Price Prediction given their past performances in other cricket formats Using machine Learning.
In this article, we will be working with a Regression problem, and you will see how easy it becomes to code using Pycaret with AutoML.
Learn polynomial regression from basic to advanced techniques. Easily identify trend, make predictions, and develop models for large datasets,
In this project, we will learn to convert an photo into a sketch, using the OpenCV library in Python. This is an important application of CV
In this article, we will talk about Logistic Regression in Pytorch. Logistic Regression is one of the most important classification algorithms
In this article, I will be demonstrating how to deploy a machine learning model made with PySpark MLlib in Google Cloud Platform.
Let us learn about linear regression using neural network and build basic neural networks to perform linear regression in python seamlessly
This is part 1 of a series on Linear predictive models.The articles will have a practical code-based approach so one can easily start coding after reading.
Explore the Random Forest algorithm: its applications, key features, differences from decision trees, important hyperparameters. Read Now!
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