Classify malware into families based on file content and characteristics
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Updated
Jun 2, 2021 - Jupyter Notebook
Classify malware into families based on file content and characteristics
Boston House Price
Goal Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio
Using Logistics, Classification, and KNN modelling to predict if a credit card account will default.
Programming assignments completed in the PG Program for AI ML
Assignments from NIS-08-04 :: Machine Learning University Course, covering Linear Models, Tree Models, and Ensemble Methods.
This project is focused on end to end application of Machine Learning methodologies to achieve best predicting accuracy. Our goal is to predict churn rate of customers for a telecom service provider based on service charges and usage data of customer.
A Machine Learning project to predict the success or failure of startups based on data by using ensemble modeling techniques, MLflow for tracking experiments, Docker for containerization.
Introductory project to Linear Models, Decision Trees and Ensemble Methods
A repository about Robust Deep Neural Networks with Uncertainty, Local Competition and Error-Correcting-Output-Codes in TensorFlow.
Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance
A submission for Türkiye İş Bankası Machine Learning Challenge #2
A comprehensive set of programs demonstrating machine learning techniques have been made.
Experiment on the pruning of pool of classifiers
Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.
Personal implementation of the paper "A two-stage ensemble method for the detection of class-label noise"
With the help of a brand new KATS package, we can detect outliers, change points, and build very strong Time Series Analysis models. By inspecting this repository you can get a solid vision of KATS on real Covid-19 data of Azerbaijan.
Experiment on the generation of pools of classifiers
Experiment on dynamic selection of classifiers in multiple stages
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