Machine Learning with Python Training in Canada

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Python (along with R) has become the dominant language in machine learning and data science. It is now commonly used to fit complex models to messy datasets. This two-day intensive course will equip you with the knowledge and tools to undertake a variety of tasks in a standard machine learning analytics pipeline. We stress the importance of data preparation, both in terms of data standardisation and feature selection, before tackling model building. The course covers regression and classification models, including, tree-based methods, clustering and sparse regression models. Model selection is introduced using cross-validation and bootstrapping.


It is expected that participants are comfortable using the Python programming language and common data structures. Some exposure to common statistical terms would be an advantage, but not essential Attendance of the Introduction to Python course or equivalent experience should be sufficient.


  • How to build and quantitatively assess a variety of models suitable for a range of problems
  • The importance of data preprocessing and regularisation
  • Confident compare the efficacy of their models using a rigorous training and testing framework
  • How various types of models operate
  • Some modern, state of the art machine learning techniques

Introducing Machine Learning (ML)

An introduction to machine learning and the associated packages in Python, such as Numpy, Scipy, andSciKit-Learn.


Data Reprocessing

Learn the why and how about preprocessing your data with scaling transformations and one hot encoding. We cover typical standardisation and normalisation procedures.


Introduction to Modelling

Introductory modelling techniques such as linear regression and how we move from a statistical model to a machine learning model.


Model Assessment

Quantify the effectiveness of your models using training, validation and test sets plus techniques such as cross-validation. We discuss the different metrics that can be used to judge a model and which are appropriate


Regularisation

Techniques to avoid overfitting and to perform feature selection, such as lasso, ridge and elastic net regression.


Clustering

An unsupervised learning technique for uncovering patterns and structure within data.

 

Advanced Techniques

Some more advanced model fitting using algorithms such as gradient boosted trees and support vector machines.



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom
18 November 2024
Toronto, Montreal, Calgary
2 Days
Classroom / Virtual Classroom
07 November 2024
Toronto, Montreal, Calgary
2 Days
Classroom / Virtual Classroom
07 November 2024
Toronto, Montreal, Calgary
2 Days
Classroom / Virtual Classroom
10 November 2024
Toronto, Montreal, Calgary
2 Days
Classroom / Virtual Classroom
10 November 2024
Toronto, Montreal, Calgary
2 Days
Classroom / Virtual Classroom
20 November 2024
Toronto, Montreal, Calgary
2 Days
Classroom / Virtual Classroom
20 November 2024
Toronto, Montreal, Calgary
2 Days
Machine Learning with Python Training Course in Canada

Canada is a North American country. Known as the second-largest country of the world, Canada’s capital city is Ottawa. Toronto, Vancouver and Montreal are the biggest and most popular cities of this country. The 8,891-kilometer southern and western border between Canada and the United States is the world's longest intergovernmental land border. This country also has the longest coastline in the world.

Canada is a constitutional monarchy. The country was originally a British Empire colony and is now a part of the British Commonwealth. Both French and English are Canada’s official languages. Canada’s national animal is a beaver and the its flag design is a vertical triband of red and white with a red maple leaf charged in the centre. Some of the top-rated tourist attractions in Canada are Niagara Falls, Banff National Park and Rocky Mountains, CN Tower in Toronto City, Bay of Fundy, Old Quebec (Vieux-Quebec in French), the ski resort of Whistler, Ottawa's Parliament Hill and Vancouver Island.

Choose from our extensive selection of IT courses, covering programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Our highly skilled instructors will deliver hands-on training and valuable insights at a location of your choice within Canada.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.