Welcome to the Machine Learning tutorial.

Machine Learning is a branch of Artificial Intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. It is widely used in various industries such as healthcare, finance, e-commerce, and more. This tutorial will help you understand the basic concepts and common questions related to Machine Learning.

Course Fess 15,000/-

Frequently Asked Questions?

Machine Learning is a method of data analysis that automates analytical model building. It allows computers to learn from and make predictions based on data.

The main types are Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

Examples include spam filtering, recommendation systems, fraud detection, and self-driving cars.

Python is the most commonly used language, followed by R and Java.

Yes, understanding of linear algebra, statistics, and probability is helpful.

Popular tools include Jupyter Notebook, Google Colab, Anaconda, TensorFlow, Scikit-learn, and PyTorch.