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an apriori algorithm proposed improvement, and its comparing between basic apriori and improved in terms of execution time and result quality, the used dataset is titanic survivors list, but i recommend using a bigger dataset for better results
SARS-COV-2 genome analysis using Big Data algorithms in order to find clusters of similar mutations that belongs to different clades which mutate together and generate the correspondent clade.
Market basket analysis is a technique used mostly by retailers to identify which products clients purchase together most frequently. This involves analyzing point of sale (POS) transaction data to identify the correlations between different items according to their co-occurrence in the data.
Practicum 100 project: analyze the store's product range and identify patterns that could be used in marketing strategy for boosting profit and customer satisfaction
"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.
GitHub repository showcasing Machine Learning code: KNN, KMeans, Random Forest, Decision Tree, Apriori, Conflict Serializable, Naive Bayes used for skin detection and UCI dataset evaluation to check accuracy. Extensively tested on reliable datasets like breast_cancer and iris, providing valuable insights for ML training and testing.