Introduction to Machine Learning and Deep Learning with Python and R ( intrpr | 28 hours )
Prerequisites:
Knowledge of Python and R programming languages. Basic familiarity with statistics and linear algebra is recommended.
Overview:
The course content will be agreed between the delegate and trainer prior to the course commencing, this outline can be used as a guide.
Machine Learning with R
Deep Learning with R
Machine Learning with Python
Course Outline:
Introduction to Machine Learning and Deep Learning with Python and R (4 days)
Machine Learning with R
- Introductin Machine Learning
- Managing and understanding Data
- Lazy learning - classification using nearest neighbours
- Probabilistic Learning - Classification Using Naive Bayes
- Divide and Conquer – Classification Using Decision trees and rules
- Forecasting numeric Data - Regression methods
- Black box methods - nueral networks and support vector machines
- Finding patterns - market basket analysis using association rules
- Finding groups of Data - Clustering with k-means
- Evaluating Model performance
- Improving Model performance
Deep Learning with R
- Getting started with Deep Learning
- Training a Prediction Model
- Preventing Overfitting
- Identifying Anomalous Data
- Training Deep Prediction Models
- Tuning and optimising Models
Machine Learning with Python
- Python Ecosystem for Machine Learning
- Crash course in Python and SciPy
- How to load Machine Learning Data
- Understanding your Data with Descriptive Statistics
- Understanding your Data with Visualisation
- Prepare your Data for Machine Learning
- Feature selection for Machine Learning
- Evaluate the performance of Machine Learning Algorithms with resampling
- Machine Learning Algorithm performance metrics
- Spot-check Classification Algorithms
- 12 Spot-check regression Algorithms
- Compare Machine Learning Algorithms
- Automate Machine Learning workflows with Pipelines
- Improve performance with Ensembles
- Improve performance with Algorithm tuning
- Save and load Machine Learning Models
- Predictive Modelling project template
- Your first Machine Learning project in Python step-by-step
- Regression Machine Learning case study project
- Binary classification Machine Learning case study project
- More predictive Modelling projects