Machine learning in Python

Training description

Machine Learning changes the business reality rapidly. Solutions that is being built based on data, may support the decision-making process.

“Machine Learning in Python” is an advanced training on building predictive analytics in Python.

Duration: 3 days 8 hours each (including an hour lunch break)

Extended version is also available – 4 days 8 hours each.

Requirements: knowledge of Python programming language at an intermediate level which can be acquired during our training “Introduction to Python”.

Training agenda

Part one: Let’s get it started!

What’s Machine Learning?
Algorithm distinction
Machine Learning workflow

Part two: The necessary foundation

Training data vs.Test data
Exploratory Data Analysis
Feature selection/extraction
Overfitting
Model validation

Part three: Overview of algorithms

Statistical modeling recap (linear regression, logistic regression)
Decision trees
SVM
Ensemble methods
- Random Forest
- Boosting

Part four: In search of best solution…

Dimensionality reduction techniques
Regularization
Hyperparameter tuning
Black-box model interpretability

Machine learning in Python