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.

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.

This is tool which can be used by students and teachers in order to predict a students grade based on 19 different attributes that needs to be filled by the user. It uses a simple Linear Regression model to predict continuous values

To clean and analyze data to find trends in global population, fertility, and life expectancy from 1960 to 2016. This idea was inspired by hans rosling . To analyze the data, I used a scatter bubble chart, which clearly shows how's the population increased and the fertility rate decreased from 1960 to 2016.

Basic pipeline for exploratory data analysis(EDA) which can be applied to various datasets with one main function.

Understanding Historical data to interpret customers that are likely to churn by performing predictive modelling

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.

keterangan project yang ingin dibahas berserta metde dan cara pengembilan datanya

This exploratory data analysis (EDA) delves deep into a comprehensive dataset of hotel bookings, uncovering valuable insights into customer behaviour and market trends. By employing a rigorous statistical analysis and a variety of data visualization techniques, we have gained a nuanced understanding the factors influencing hotel booking decision.

Contains daily Bitcoin prices (Open, High, Low, Close, Volume). Includes Crypto Fear & Greed Index, showing market sentiment. Useful for crypto trading strategies, ML models & finance research.

From Concept to Code: Breathing Life into Ideas.

EDA w/ Python & Pandas

Aims to uncover trends, identify influencing factors, and provide actionable insights

This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.