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.
Practice codes for Machine Learning, Data Mining and NLP in Python
Association Rule Mining Using FP-Growth & ANN Techniques
Python Implementation of data mining algorithms(Apriori, Eclact, FP Growth ).
The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''
A project for streaming algorithms: Bloom filtering, Flajolet-Martin Algorithm, Fixed-Size Sampling
A Data Mining project which focuses on the comparison between different un-supervised clustering algorithms on geographical data
Course Code: CS626, MCS Batch-2019 (Final Year) Evening
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.
This contains all projects that I have done during my master degree.
Datamining concepts
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.
Used clustering algorithms such as K-Means, Fuzzy C-Means, and Density-Based Algorithms like DBScan to cluster three datasets and reported result of the best algorithm after 200 random starting points.[part of my data mining course]
some training, learning and TD/TP ressources
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