A project for streaming algorithms: Bloom filtering, Flajolet-Martin Algorithm, Fixed-Size Sampling
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Updated
Jan 15, 2024 - Python
A project for streaming algorithms: Bloom filtering, Flajolet-Martin Algorithm, Fixed-Size Sampling
The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''
Association Rule Mining Using FP-Growth & ANN Techniques
Practice codes for Machine Learning, Data Mining and NLP in Python
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.
Python Implementation of data mining algorithms(Apriori, Eclact, FP Growth ).
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.
Datamining concepts
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.
Course Code: CS626, MCS Batch-2019 (Final Year) Evening
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