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Course Outline
Introduction to Applied Machine Learning
- Statistical learning vs. Machine learning
- Iteration and evaluation
- Bias-Variance trade-off
Regression
- Linear regression
- Generalizations and Nonlinearity
- Exercises
Classification
- Bayesian refresher
- Naive Bayes
- Logistic regression
- K-Nearest neighbors
- Exercises
Cross-validation and Resampling
- Cross-validation approaches
- Bootstrap
- Exercises
Unsupervised Learning
- K-means clustering
- Examples
- Challenges of unsupervised learning and beyond K-means
Requirements
Knowledge of R programming language. Basic familiarity with statistics and linear algebra is recommended.
Testimonials
Highly qualified trainer. Skilled both in data science and advanced R programming, capable of providing in-depth explanation of complex problems from both worlds. The knowledge was highly specialistic and will be extremely valuable to my work. Simply put: this was the best training course I have participated in.
Maria Świderek, Ministerstwo Zdrowia
Advanced R Programming Course
Many examples and exercises related to the topic of the training.
Tomasz - Maria Świderek, Ministerstwo Zdrowia
Advanced R Programming Course
The trainer truly showed how powerful R is and why it is beneficial.
Vodacom
Introduction to R Course
One hands-on exercise that is super relevant to work.
Fannie Mae
R Programming for Excel Course
Practice exercises were relevant and very helpful to reinforce the knowledge.
Andy Kwan - Environment and Climate Change Canada
R Course
Follow-along exercises after slide presentation kept engagement.
Robin White - Environment and Climate Change Canada
R Course
Michael was very knowledgeable and clear in his instruction of the training. Course was well structured to teach the desired subject as well as the right amount of room was left to adjust to fit our needs better. Over all, I am very happy with the course.
Brock Batey - Environment and Climate Change Canada
R Course
Practical exercises with R were very helpful.
CEED Bulgaria
Predictive Modelling with R Course
The exercises.
Elena Velkova - CEED Bulgaria
Predictive Modelling with R Course
Good detail on what R is used for and how to start using it right away
Hoss Shenassa - Trimac Management Services LP
Introduction to R with Time Series Analysis Course
The remote classroom setting worked very well
- Trimac Management Services LP
Introduction to R with Time Series Analysis Course
Modeling and how to fit the data to model
- USDA
R for Data Analysis and Research Course
The trainer was very concern about individual understanding.
Muhammad Surajo Sanusi - Birmingham City University
Foundation R Course
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Foundation R Course
I was benefit from the good examples and opportunity to follow along.
- Environmental and Climate Change Canada
Foundation R Course
I enjoyed the self-learning through exercises and the tips and shortcuts shared.
- Competition Bureau
R for Data Analysis and Research Course
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Introduction to R with Time Series Analysis Course
Exercises on time series modeling
Teleperformance
Data Analytics With R Course
It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.
Sonja Steiner - BearingPoint GmbH
R Programming for Data Analysis Course
The tutor, Mr. Michael Yan, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Programming with Big Data in R Course
the introduction of new packages
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Programming with Big Data in R Course
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training to meet clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Programming with Big Data in R Course
Hands on examples were the most helpful.
Sean Kaukas
Introduction to R Course
A lot of knowldege - theoretical and practical
Anna Alechno
Forecasting with R Course
The way the trainer made complex subjects easy to understand.
Adam Drewry
Data and Analytics - from the ground up Course
learning how to use excel properly
Torin Mitchell
Data and Analytics - from the ground up Course
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Data and Analytics - from the ground up Course
The flexible and friendly style. Learning exactly what was useful and relevant for me
Jenny Tickner
Advanced R Course
Graphs in R :)))
Faculty of Economics and Business Zagreb
Neural Network in R Course
We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.
Tea Poklepovic
Neural Network in R Course
new insights in deep machine learning
Josip Arneric
Neural Network in R Course
Working with 1:1 with Gunnar.
Bryant Ives
Introduction to R Course
very tailored to needs
Yashan Wang
Data Mining with R Course
The trainer was so knowledgeable and included areas I was interested in
Mohamed Salama
Data Mining & Machine Learning with R Course
I get answers on all my questions.
Natalia Gladii
Data Analytics With R Course
He was very informative and helpful.
Pratheep Ravy
Predictive Modelling with R Course
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