House Price Prediction
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Updated
Dec 17, 2022 - Jupyter Notebook
House Price Prediction
Essential files for pac-bayes-tree
Building an application for pneumonia detection from X-ray images
The goal of this project is to implement a graph label propagation method to study and classify image data. The method has the particularity that it combines well with other classifiers to achieve enhanced performance.
The Muffin vs Chihuahua NN assignment for the Statistical Methods for ML course of UNIMi.
Authorship attribution is a task to identify the author of a given document. Our task is to come up with test predictions for an authorship attribution problem given a training set and test inputs.
My assignments/project for MATH5470 Statistical Machine Learning
Project in the course TDDE16 - Text Mining at Linköping University
machine learning is a combination of statistics,computer science and mathematics. It uses a lot of statistical tool and mainly a lot of interpretation terms are adapt from statistics .So here I will add little but important concepts of statistics in ML.
TTIC Statistical Machine Learning
Analyzing the binary gender difference in lead roles using statistical machine learning
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
Statistical Machine Learning coursework (Sharif University of technology)
Python implementation of Bayesian Online Changepoint Detection, Adams, R. P., & MacKay, D. J. C. (2007)
Solutions from Elements of Statistical Machine Learning course at AGH UST. If you use it and it helped you please leave a star ⭐
Statistical Machine Learning is a 3xx-level course offered to undergrads at IIIT-Delhi.
A supervised machine learning project where I develop a number of models to classify an individual's income level using census data.
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