Pinned Repositories
A-B-Testing-Landing-Pages
This project contains an analysis of an A/B test, which is a commonly used method to compare two different versions of a product or service. In this particular case, we are comparing two versions of a page to determine which version leads to more engagement. We will be comparing the conversions of two pages.
Credit-Card-Customer-Churn-Prediction
This notebook goes through various machine learning techniques such as Random Forest and LightGBM to predict whether a customer would churn. The best roc-auc score models' hyperparameters were tuned in an attempt to get better evaluation metrics.
Customer-Segmentation-K-Means-Clustering-Analysis
This project provides a final clusters analysis and overview of the steps taken to process and explore the data in the customer marketing campaign data. This project uses Pandas,Plotly Express and Seaborn for data preprocessing, visualization, and exploration. Scikit-Learn for clustering and dimensionality reduction.
Doordash-Food-Delivery-Data-Analysis-Case-Study-with-SQL
Using a dataset of Doordash found on Kaggle, I have exercises my time analysis skills to manipulate and uncover insights from time data of food delivery.
Seoul-Bike-Sharing-EDA-with-Python
Exploratory Data Analysis of Seoul Bike Dataset from 2017. Analyzed by district activity, seasonal trends and patterns as well as distributions in bike activity by geography.
Simple-Customer-Cuisine-Recommendation-Model
Created a simple user based collaborative filtering recommendation model with a simple cuisine, customer ID and order counts dataset.
Singapore-Airbnb-Data-Analysis-SQL
The analysis of the dataset was conducted using PostgreSQL. The queries were written to explore the dataset and answer questions related to the pricing, hosts, and locations of Airbnb properties in Singapore.
Univariate_Time_Series_Analysis
Watchbox-E-commerce-Data-Analysis-Python-and-Tableau
The topic of this analysis is centered on second hand watch ecommerce brand Watchbox and their product offerings. This involves webscraping using selenium, data cleaning and analysis with Python and data visualization using Tableau.
yurijeon-g's Repositories
yurijeon-g/A-B-Testing-Landing-Pages
This project contains an analysis of an A/B test, which is a commonly used method to compare two different versions of a product or service. In this particular case, we are comparing two versions of a page to determine which version leads to more engagement. We will be comparing the conversions of two pages.
yurijeon-g/Credit-Card-Customer-Churn-Prediction
This notebook goes through various machine learning techniques such as Random Forest and LightGBM to predict whether a customer would churn. The best roc-auc score models' hyperparameters were tuned in an attempt to get better evaluation metrics.
yurijeon-g/Customer-Segmentation-K-Means-Clustering-Analysis
This project provides a final clusters analysis and overview of the steps taken to process and explore the data in the customer marketing campaign data. This project uses Pandas,Plotly Express and Seaborn for data preprocessing, visualization, and exploration. Scikit-Learn for clustering and dimensionality reduction.
yurijeon-g/Doordash-Food-Delivery-Data-Analysis-Case-Study-with-SQL
Using a dataset of Doordash found on Kaggle, I have exercises my time analysis skills to manipulate and uncover insights from time data of food delivery.
yurijeon-g/Seoul-Bike-Sharing-EDA-with-Python
Exploratory Data Analysis of Seoul Bike Dataset from 2017. Analyzed by district activity, seasonal trends and patterns as well as distributions in bike activity by geography.
yurijeon-g/Simple-Customer-Cuisine-Recommendation-Model
Created a simple user based collaborative filtering recommendation model with a simple cuisine, customer ID and order counts dataset.
yurijeon-g/Singapore-Airbnb-Data-Analysis-SQL
The analysis of the dataset was conducted using PostgreSQL. The queries were written to explore the dataset and answer questions related to the pricing, hosts, and locations of Airbnb properties in Singapore.
yurijeon-g/Univariate_Time_Series_Analysis
yurijeon-g/Watchbox-E-commerce-Data-Analysis-Python-and-Tableau
The topic of this analysis is centered on second hand watch ecommerce brand Watchbox and their product offerings. This involves webscraping using selenium, data cleaning and analysis with Python and data visualization using Tableau.