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Search results for jupyter notebook dbscan
dbscan
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jupyter-notebook
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8 search results found
Machine Learning
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117
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic
Textclustering
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71
Topic_modelling_financial_news
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32
Topic modelling on financial news with Natural Language Processing
Centrifuge Toolkit
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22
Tool for visualizing and empirically analyzing information encoded in binary files
Clustering In Python
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17
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
Feature Engineering For Fraud Detection
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Implementation of feature engineering from Feature engineering strategies for credit card fraud
Mall Customers Segmentation
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6
This case requires to develop a customer segmentation to understand customer's behaviour and separate them in different groups according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.
3d_obj_detection
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5
3D object detection on the nuScenes dataset
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1-8 of 8 search results
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