Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google Dataset Search remain top choices ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

The library is built to be as minimalist as possible with modularity as a design principle, and includes the ability to self-drive with computer vision using machine-learning algorithms.