Covers attribute selectors, pseudo-classes like hover and focus, and pseudo-elements (::before, ::after).Teaches adding smooth transitions and ...
Duration: approximately 20 hours, divided into five 4-hour modules.Self-paced learning allows flexible scheduling.Modules cover simple ...
Teaches media queries for responsive layouts.Covers browser compatibility and accessibility using POUR guidelines.Includes exercises to ...
Covers font styling, text properties, and color rules.Teaches layout adjustments using the box model, width, height, and spacing.Includes ...
Some prior HTML familiarity recommended but not strictly required.Focuses on styling, layout, and accessible web design.Includes hands-on ...
Teaches Latent Dirichlet Allocation (LDA) for topic modeling.Covers vector space representation and cosine similarity metrics.Hands-on ...
4 modules, approximately 1 week each.Self-paced learning allows flexible scheduling.Modules cover text handling, NLP basics, ...
Covers converting text to numerical representations for machine learning.Teaches building classifiers like Naive Bayes for document ...
Covers tokenization, lemmatization, stemming, and stop-word removal.Teaches pattern extraction using regular expressions.Focuses on ...
Basic Python and introductory machine learning knowledge recommended.Focuses on text preprocessing, classification, and topic modeling....
