Python, PHP, and R Training / Python Programming Training
Introduction to Machine Learning
Accelebrate's Introduction to Machine Learning training class teaches experienced developers, architects, and team leaders the foundations of building machine learning solutions. Starting with data handling, going through data exploration, and finishing with an algorithms overview, this training provides students with the knowledge of modern tools and the appropriate way of thinking that are crucial for being successful with machine learning.
Location and Pricing
Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.
Machine Learning Training Objectives
All students will:
Machine Learning Training Outline
What is Data Science?
The Role of Machine Learning
Quality of Data
Introduction to Pandas
Working with DataFrames
Measures of Center
Measures of Dispersity
Pandas and Descriptive Statistics
Introduction to matplotlib
The Seaborn Library
Introduction to Data Exploration
Introduction to SKLearn
Regression vs. Classification
Overfitting vs. Underfitting
Introduction to Unsupervised Learning
Testing and Scoring
Overview of Scoring Methods
No prior knowledge of machine learning, math or data science is required. However, all attendees should know the fundamentals of the Python programming language and feel confident with its syntax.
All Machine Learning training students receive comprehensive courseware.
Software needed for each student PC: