Python is one of the most popular programming languages in the world, especially for helping companies manage the mountains of data that are now available. To help today’s data scientists continue to become experts, we’re adding a suite of new courses to our Data Academy subscription – Clustering and Classification with Machine Learning in Python.
This new learning path includes 7 courses that will guide you to mastering the use of Python for machine learning. You’ll learn the core concepts of Python data science, along with Anaconda, a powerful framework for data science. Next, you’ll learn Pandas and read data structures such as CSV, Excel, and HTML. You’ll also gain skills in data cleaning and munging, and learn how to handle conditional data.
Additionally, these courses will introduce concepts of unsupervised learning, the theory of dimension reduction and feature selection as it relates to machine learning. You’ll also go through two real-world case studies to understand Principal Component Analysis (PCA), and more.
All of these courses are included as part of our Data Academy, which provides online classes taught by industry experts, along with hundreds of real-world, hands-on practice exercises, instructor-led demonstrations, and helpful knowledge checks.
Additionally, each course includes a course completion certificate, so you can document your progress.
Start your free trial of Data Academy today for instant access!
Clustering and Classification with Machine Learning in Python Course Index
- The Key Concepts and Software Tools for Machine Learning in Python
- Read in Data from Different Sources with Pandas
- Data Cleaning and Munging
- Unsupervised Learning in Python
- Dimension Reduction & Feature Selection for Machine Learning
- Supervised Learning: Classification
- Neural Networks and Deep Learning Based Classification Techniques