The course provides the students with practical hands-on experience in data mining and machine learning using open source machine learning libraries such as sci-kit-learn in Python programming language. After completing the course, the students will be able to apply and use various data mining and machine-learning techniques on real-word big/business datasets.
The course provides knowledge of various concepts, techniques, and methods related to data mining, machine learning and deep learning approaches. Furthermore, it introduces :
Basics of Data mining and machine learning
Strengths and weaknesses of Dimensionality Reduction Algorithms: variance thresholds, Correlation Thresholds, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)
Linear models for regression such as maximum likelihood, sequential learning, regularized least squares
Linear models for classification such as linear classification, logistic regression, support vector machines
Classification models such as probabilistic generative models, probabilistic discriminative models
Don't worry we won't spam you ! You'll only receive one mail per month.
DATUM ACADEMY NEWSLETTER
Thank you for your interest ! Almost done !
We value your privacy and therefore we have send you an email to ask for your permission in order to finalize your newsletter subscription.
We value your privacy!
In order to function properly, our website uses cookies. We process personal data such as IP addresses and cookie identifiers for security reasons but also to understand how you interact with our website and improve your user experience. To continue, we need your agreement by clicking on the button below.