Practical AI and Machine Learning Projects in Python

About this course

Want to learn Machine Learning and AI by actually building projects instead of spending hours watching theory-heavy lectures?

This course is designed for developers, students, and beginners who want to learn practical Artificial Intelligence and Machine Learning using Python through real-world projects.

Instead of focusing only on mathematics and theory, this course takes a hands-on approach where you will build complete machine learning and deep learning applications step by step.

You will learn how modern AI systems work while building projects related to:

Car Price Prediction

Lung Cancer Classification

Customer Segmentation

Image Classification

Natural Language Processing (NLP)Object Detection Using YOLO

The course starts with the fundamentals of machine learning and gradually moves into deep learning, computer vision, pretrained neural networks, and natural language processing.

You will also learn how to preprocess datasets, create machine learning pipelines, evaluate models, and save trained models for future use.

What You’ll Learn

Build machine learning models using PythonTrain regression and classification models

Understand clustering using K Means

Create preprocessing pipelines using Scikit LearnTrain deep learning models using TensorFlow and Keras

Use pretrained models like ResNet50Build NLP sentiment analysis projects

Perform image and video object detection using YOLO

Work with real-world datasets

Evaluate and improve model performance

Save and reuse trained machine learning models

Projects IncludedCar Price Prediction SystemLung Cancer Classification ModelCustomer Segmentation Using K Mean

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.