anishkasachdeva / Data_Analytics

Added the Data Analytics-I Projects. The projects includes implementations of Classification (K Nearest Neighbours and Decision Trees), Clustering (K-Means, Hierarchical Clustering and DBScan) and Frequent itemsets mining (Apriori and FP-Growth) algorithms. It also includes analysis and observations of large datasets using these algorithms.

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Data-Analytics

Projects

The repository contains Data Analytics-I Projects done under Professor Vikram Pudi. The projects includes implementations of Classification (K Nearest Neighbours and Decision Trees), Clustering (K-Means, Hierarchical Clustering and DBScan) and Frequent itemsets mining (Apriori and FP-Growth) algorithms. It also includes analysis and observations of large datasets using these algorithms.

Notes

The repository includes extra class notes.

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Added the Data Analytics-I Projects. The projects includes implementations of Classification (K Nearest Neighbours and Decision Trees), Clustering (K-Means, Hierarchical Clustering and DBScan) and Frequent itemsets mining (Apriori and FP-Growth) algorithms. It also includes analysis and observations of large datasets using these algorithms.


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Language:Jupyter Notebook 99.1%Language:C++ 0.9%