The course starts by setting the foundation with an introduction to machine learning, Python, and essential libraries, ensuring you grasp the basics before diving deeper. It then progresses through exploratory data analysis, data scrubbing, and pre-model algorithms, equipping you with the skills to understand and prepare your data for modeling.
The journey continues with detailed walkthroughs on creating, evaluating, and optimizing machine learning models, covering key algorithms such as linear and logistic regression, support vector machines, k-nearest neighbors, and tree-based methods. Each section is designed to build upon the previous, reinforcing learning and application of concepts.
Wrapping up, the course introduces the next steps, including an introduction to Python for newcomers, ensuring a comprehensive understanding of machine learning applications.
publication date
2024-03-06
what you will learn
Analyze datasets for insights
Scrub data for model readiness
Understand key ML algorithms
Design and validate models
Apply Linear and Logistic Regression
Utilize K-Nearest Neighbors and SVMs
key features
Navigate through Python's machine learning libraries effectively * Learn exploratory data analysis and data scrubbing techniques * Design and evaluate machine learning models with precision
approach
Dive into Machine Learning with Python through a comprehensive format, blending expert knowledge with practical exercises for an immersive learning experience.
audience
This course is ideal for aspiring data scientists and professionals looking to integrate machine learning into their workflows. A basic understanding of Python and statistics is beneficial.
short description
Dive into the world of Machine Learning with Python, exploring essential algorithms, data scrubbing techniques, and model design to unlock the potential of AI and data science.
subtitle
Unlocking AI Potential with Python and Machine Learning
keywords
Python machine learning, Data science with Python, ML algorithms Python, Python data analysis, Machine learning basics, Data scrubbing Python, Python model design, Linear regression Python
Product ISBN
9781835461969
