top of page

Machine Learning Foundational level

Course Outline

In this course, participants will examine the Visual Basic for Applications Environment and create custom procedures to enhance the functionality of Excel.

​

  1. Statistics refresher

  2. Getting started with Pandas & Sklearn

  3. Statistical modelling using Sklearn

  4. Supervised learning

  5. Unsupervised Learning

  6. NEURAL NETWORKS

Pre-requisite

  • Must to have Good Knowledge of Python: Good to have Pandas

  • Basic Concepts of Python: Data Types, Comprehensions, lambdas, functions, slicing

  • Understanding of Data Type, scales of measurement

  • Measures of Summary: Mean, mode median, standard deviation, variance, quantile, covariance, skewness and kurtosis and its significance

  • Describing Data: bar, pie, box and whiskers plot, scatter plot Basics of Probability Correlation

Duration

3 Days, 9.30am to 5.30pm

Request for full course flyer or discuss your requirement with us now!

Thank you for your enquiry. We will response to you within 24 hours.

bottom of page