This project was created to solve an E-Commerce business case provided by Rakamin Academy.

Bitcoin price fluctuation prediction model using headline sentiment scores from top newpaper articles. This is the repository that includes all the data and python scripts used while creating the project.

This EDA project analyzes factors like ADR, deposits, and booking channels to understand their impact on resort and city hotel performance, aiming to uncover insights for revenue growth and improved booking strategies.

A Comprehensive exploratory data analysis (EDA) on a loan dataset to uncover key trends, patterns, and relationships among various loan attributes. By visualizing and analyzing the data, we aim to gain insights into loan performance, borrower characteristics, and market dynamics. 🪙🏦

Predicting stock performance with LSTM

Exploratory and Descriptive Data Analysis on Indonesian data using R. This project involves reading data, feature analysis, correlation analysis, logistic regression, PCA, MDS, and clustering. Visualizations include boxplots, scatter plots, corrgrams, and dendrograms. Comprehensive report available in report.docx.

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

The purpose of this report is to analyze medical appointment data to identify factors influencing no-show rates

This project analyzes a dataset of nearly 1500 IBM employees to explore factors contributing to employee attrition.

Worldwide-Mortality-Analysis-2021 examines COVID-19's impact on global mortality rates and national responses, revealing significant age-related effects and highlighting disparities linked to institutional trust rather than income inequality.

Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data

Automating process of EDA (Explaratory Data Analysis) with Generative AI and opensource python tools.

This is the final community contribution for EDAV Fall 2023, Columbia University. Author: Xinyi Zhao, Jean Law

Proyek Akhir kelas Belajar Analisis Data dengan Python dari Dicoding Indonesia

Analysis tools for machine learning projects

This GitHub repository contains a comprehensive analysis of the popular Iris dataset using various machine learning algorithms, including Logistic Regression, Support Vector Machines (SVM), and Random Forest. Additionally, it explores the impact of different data split ratios (80-10-10 vs. 60-20-20) on model performance.

Explanatory data analysis of anime ratings dataset 🕵🏻‍♀️

This is a part of the exercise project provided by Dicoding in "Learn Data Analytics with Python" course.

This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process: Exploratory and Explanatory Data Visualization.

FellowshipAi project