Machine Learning, Data Science and Generative AI with Python
Comprehensive tutorial on machine learning, data science, TensorFlow, AI, and neural networks
Created by Frank Kane
Explore the practical side of machine learning, data science, and generative AI using Python. You'll work with real-world tools and techniques, from building neural networks to scaling up with Apache Spark. Dive into hands-on projects that cover everything from data visualization to advanced AI models.
Packt | Sep 2016 | 1091 min
What You Will Learn
You'll start by setting up your Python environment and quickly move into coding practical projects. Each topic is broken down into manageable steps, with hands-on examples that let you apply what you learn right away. By practicing with real datasets and industry tools, you'll gain skills you can use on the job.
Key Features
- Build and train neural networks with TensorFlow and Keras for real-world tasks
- Visualize and analyze data in Python using Matplotlib and Seaborn
- Scale machine learning projects with Apache Spark for big data applications
Target Audience
Ideal for software developers and programmers ready to branch into data science or AI roles. Data analysts looking to move from traditional tools to code-based analysis will also benefit. Some experience with coding or scripting is required to get the most out of the material.
