Nashville Housing Data Cleaning
In this project, I used the raw data from Nashville housing dataset in Kaggle and transformed it in SQL Server to make it more usable for data analysis.
Nashville Housing Data Cleaning
COVID19 Data Analysis and Visualization
In this project, I used SQL Server to explore global COVID19 data and created a Tableau dashboard.
AirBnB Data Visualization
In this project, I used the data from AirBnB dataset in Kaggle and created a dashboard for data visualization.
Movies Correlation
In this project, I looked at what variables affect the gross revenue from movies and created visualiztions.
Amazon Web Scraper
In this project, I scraped data from Amazon to analyze price data for products.
Automated API Pull from Crypto Website
In this project, I created a method to use coin market cap website's API to pull data.
EDA on World Population
In this project, I performed EDA (Exploratory Data Analysis) on world population data.
Data Professional Survey Breakdown
In this project, I used the data from data professional dataset in Kaggle and visualized it in PowerBI.
Wikipedia Web Scraper
In this project, I scraped the list of the largest companies in the US by revenue from Wikipedia.
Customer Call List Data Cleaning
In this Project, I used the data from customer call list dataset in Kaggle and performed a data cleaning.
XGBoost on Housing Prices
In this project, I used the data from housing prices dataset in Kaggle and performed feature engineering. Then, I implemented XGB Regressor technique to predict SalePrice as the target variable.
freeCodeCamp Data Analysis with Python Projects
In this repository, I completed all of the Data Analysis with Python Projects to earn the freeCodeCamp's Data Analysis with Python certification.
Time-series Analysis with Python
I performed Time-series Analysis with visualization libraries and XGBoost regressor in Python on electricity consumption dataset from Kaggle.
Mushroom Classification Project
I performed multiple machine learning models as classifiers to decide whether mushrooms are edible. In this project, I also performed tailored aggregation, plotting, and encoding as Exploratory Data Analysis with bivariate approach.
CRM Analytics with ML
I performed CRM Analytics with RFM segmentation and CTLV calculation. Based on these, I applied a Clustering algorithm to segment customers as an unsupervised learning. Based on RFM, CLTV and Clustering labels, I calculated the final score as a target. And, then I applied a Classification algorithm as a supervised learning to predict customer segmentation.