Association Rule Mining Using FP-Growth & ANN Techniques
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Updated
Aug 9, 2025 - Jupyter Notebook
Association Rule Mining Using FP-Growth & ANN Techniques
A project for streaming algorithms: Bloom filtering, Flajolet-Martin Algorithm, Fixed-Size Sampling
The project's objective is to harness a HR Analytics dataset. With predictive proccess I tried to equip HR management with actionable insights, enabling them to proactively address attrition issues and implement targeted retention strategies.
The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''
Practice codes for Machine Learning, Data Mining and NLP in Python
Python Implementation of data mining algorithms(Apriori, Eclact, FP Growth ).
Course Code: CS626, MCS Batch-2019 (Final Year) Evening
Datamining concepts
Implementing Gaussian Naive Bayes and KNN from scratch and evaluating their performances on heart dataset
This Repository contains the Intermediate level of programing code that are used in Data mining, e.t.c for Understanding of Algorithms and various other tasks.
This contains all projects that I have done during my master degree.
"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."
This is a data mining project that analyzes apple quality attributes to classify apples as "good" or "bad." We use Exploratory Data Analysis (EDA) to visualize data distributions and identify key factors. The study offers recommendations for improving apple production and marketing.
A Data Mining project which focuses on the comparison between different un-supervised clustering algorithms on geographical data
The project or work which goals to extract the opinions, emotions, attitudes of public towards different object of interest. Sentiment analysis is a form of shallow semantic analysis of texts. In the project an automatic approach that involves supervised machine learning and text mining classification algorithms are used which includes the senti…
This repository contains a reference implementation of Range–CoMine (single‑pass colocation mining for a distance range) and two baselines (Naive and RangeInc‑Mining). It is designed for clarity and correctness on small–medium datasets.
A data mining project using the Apriori algorithm for Market Basket Analysis. Association rules were generated and interpreted across various parameter settings to discover purchasing patterns in retail transaction data.
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