Topic: expolatory-data-analysis Goto Github
Some thing interesting about expolatory-data-analysis
Some thing interesting about expolatory-data-analysis
expolatory-data-analysis,This project analyzes hotel booking cancellations and revenue generation factors for City Hotel and Resort Hotel. The dataset contains booking data from July 2015 to August 2017, covering bookings, cancellations, and arrivals. Insights gained aim to improve revenue efficiency and reduce cancellations.
User: amitomjeesharma
expolatory-data-analysis,The primary goal of this exploratory data analysis is to create a reliable and effective Python program. Based on the training data, the program should select the four best-fit ideal functions from a set of 50 functions and then map the test data to these chosen functions while taking a deviation criterion into account.
User: kaushik-puttaswamy
expolatory-data-analysis,This repository explores the interplay between dimensionality reduction techniques and classification algorithms in the realm of breast cancer diagnosis. Leveraging the Breast Cancer Wisconsin dataset, it assesses the impact of various methods, including PCA, Kernel PCA, LLE, UMAP, and Supervised UMAP, on the performance of a Decision Tree.
User: mohammad95labbaf
expolatory-data-analysis,From Concept to Code: Breathing Life into Ideas.
User: smtkmr102
Home Page: https://smtkmr102.github.io/AI-Blogs-Infographics/
expolatory-data-analysis,The Food Price Estimation project focuses on providing estimates of food prices to capture local price fluctuations in regions where people are vulnerable to localized price surges. The project utilizes a machine-learning algorithm designed to predict ongoing subnational price surveys, demonstrating accuracy comparable to direct price measurements.
User: thangam-11
expolatory-data-analysis,Understanding Historical data to interpret customers that are likely to churn by performing predictive modelling
User: yashikaaaaaa05
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