Gems & Holiday Package Prediction

Last update: Jan 27, 2022

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Overview

Predictive_Modelling

Gems & Holiday Package Prediction

This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction. In the first case study, concepts of linear regression are tested and it is expected from the learner to predict the price of gems based on multiple variables to help company maximize profits. In the second case, concepts of logistic regression and linear discriminant analysis are tested. One has to predict if the customer will purchase the holiday package to target the relevant customer base.

Skills and Tools

Linear Regression, Logistic Regression, Linear discriminant Analysis

Owner

Avnika Mehta

GitHub Repository

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Gems & Holiday Package Prediction

Related tags

Overview

Predictive_Modelling

Owner

Avnika Mehta

A tensorflow model that predicts if the image is of a cat or of a dog.

Painting app using Python machine learning and vision technology.

Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

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code for ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

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Duke Machine Learning Winter School: Computer Vision 2022

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Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

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