30th November - 4th December 2020
Virtual Classroom,
Online
AI Foundations: Data Science and Machine Learning
Intensive crash-course: Gain a solid foundation on ML and data science
Course Overview
5 half day Virtual Classroom
What sets this course apart?
A Detailed Guide On How To Prepare For Machine Learning
A Detailed Guide On How To Prepare For Machine Learning
Cross Evaluate The Performance of Your Machine Learning Model
Cross Evaluate The Performance of Your Machine Learning Model
Hands On Experience With Python Data Science
Hands On Experience With Python Data Science
Real World Solutions Customised To Your Industry & Role
Real World Solutions Customised To Your Industry & Role
Attend the 5-day half day virtual classroom and you will be able to:
Have hands-on experience with core Python data science, visualization, and
machine learning tools Understand supervised vs unsupervised machine
learning
Learn how to build classification and regression decision trees
Understand how to prepare data for machine learning, including preprocessing,
cleansing, and feature selection and engineering
Be able to use cross-validation to evaluate the performance of your machine
learning models
Enhance customer experiences by modernizing existing applications such as
recommenders, search ranking and time series forecasting
Make better decisions from automated data visualization
Save time and money by automating repetitive tasks
Gain insights from more accurate data analysis
A solid foundation in machine learning and data science
Your Instructor
Delegates will be led by our experienced instructor, with vast experience in real-world data science and machine learning - specialising in Python programming.