Training and Events
Machine Learning with Python - 6-week tutor-led online course (fully booked)
|Mind Project Ltd|
Simon Walkowiak MSc, MBPsS
17/09/2020 - 22/10/2020
View in Google Maps (EC2A 4NE)
Mind Project Ltd
1. Course description.
Python has become a powerful language of data science and is now commonly used as the leading programming language for predictive analytics and artificial intelligence. During this hands-on “Machine Learning with Python” training course, you will learn to utilise the most cutting edge Python libraries for clustering, customer segmentation, predictive analytics and machine learning on the real-world data.
The course explores practical applications of the most frequently used machine learning approaches such a Multiple Linear, Polynomial (non-linear) and Logistic Regressions, k-Means and Hierarchical Clustering, k-Nearest Neighbours, Naive Bayes, Decision Trees and ensemble algorithms e.g. Random Forests, Adaptive Boosting or Extra Gradient Boosting approaches using Python’s major scientific libraries such as NumPy, pandas, SciPy as well as more specialised, statistical and machine learning oriented packages e.g. scikit-learn, statsmodels, pycaret and h2o.
Apart from this, you will learn to evaluate the predictive models based on the obtained metrics such as sensitivity, specificity, F-score, Kappa etc., and optimise the accuracy and efficiency of these models using various methods of cross-validation, grid-search and performance boosting.
Please note this training course doesn’t include Neural Networks and Deep Learning approaches.
2. Course programme.
This instructor-led course duration is planned over 6 teaching weeks (to qualify for the Course Attendance Certificate) plus an additional 1 calendar month for the completion of the data science project (to obtain the graded Course Completion Certificate).
In between the six weekly online live tutorials (2.5 hours long each) you will improve your skills working through set tasks and homework exercises which will require 4-6 hours of your time commitment per week (24-36 hours). We estimate that the total time commitment for the Course Attendance Certificate is 40-50 hours over 6 teaching weeks, and for the Course Completion Certificate it will equate to 70-80 hours (over 2.5-month period) including the project report writing time.
Start date: Thursday, 17th of September 2020 @14:30 London (UK) time
Week 1: Introduction to Machine Learning with Python
Week 2: Unsupervised learning with clustering approaches
Week 3: Predicting continuous data with linear and non-linear models
Week 4: Binary and multinomial classification - part 1: methods, evaluation metrics, model selection
Week 5: Binary and multinomial classification - part 2: overview of other important approaches
Week 6: From decision trees to ensembles
Additionally, in order to receive the full Course Completion Certificate, you will have to submit a short data analysis report (up to 2,000 words) along with R data processing and analysis scripts within one calendar month from the last day of Week 6. The project will be assessed and graded. You will also receive a formal written feedback about your project.
3. Course pre-requisites and further instructions
Should you have any questions please contact Mind Project Ltd at email@example.com or by phone on 0203 322 3786. Please visit the course website at https://www.mindproject.io/product/machine-learning-with-python-tutor-led-online-course/.
Intermediate (some prior knowledge)
By 27th of August 2020 (Early Bird offer):
Regression Methods, Ordinary least squares (OLS), Generalized liner model (GLM), Linear regression, Logistic regression, Hierarchical models, Forecasting, Data Mining, Machine learning, Dynamic models, Python, clustering , , classification
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