emrecanduran 's repositories
Google-Analytics-4-API-Analyzing-My-Blog-Page
In this repository, I performed an analysis of my blog page 6 months data from a Google Analytics 4 (GA4) account using Google Cloud services within a Jupyter notebook. The aim of this project is to leverage my knowledge of GA4 in conjunction with my proficiency in Jupyter notebooks to conduct an analysis.
Random-Forest-Classifier-Hyperparameters-Travel.com
The Random Forest model employed in this project utilizes random split hyperparameters, which create an ensemble of decision trees trained on diverse subsets of the training data.
Databricks-Big-Data-Reordered-Prediction
This repository contains code and resources for performing EDA and, predictive modeling on a large-scale e-commerce dataset using PySpark and SQL. Additionally, Hypothesis testing by using Chi-square is applied to features.
End-to-End-Azure-ML-Regression-Deployment
This repository contains code and resources for deploying a machine learning regression model using Azure App Service for a real estate house price prediction.
Market-Basket-Analysis-on-TripAdvisor-Portugal-based
Market Basket Analysis, Portugal based, on TripAdvisor Top 100 Tourist Attractions dataset from January 1, 2019 to August 21, 2021.
Marketing-Campaign-Response-Prediction
Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.
MySQL-Relational-Database-for-Small-Fictitious-Business
Create a relational database using MySQL for a fictional small business that offers products or services, allowing customers to rate their experience, while keeping in mind the three normal forms for database design.
RFM-Analysis-Wonderful-Wines-Of-The-World
In this project, I utilized the RFM Model on the WonderfulWines dataset. As a noteworthy enhancement, I employed a log transformation to achieve greater data symmetry, which ultimately resulted in more accurate outcomes.
SAS-Enterprise-Miner-Customer-Credit-Card-K-Means-Clustering
This is my first small project in SAS Enterprise Miner. It is applied K-Means Clustering for Credit Card Customer Data in Kaggle.
SAS-Enterprise-Miner-Wonderful-Wines-Of-The-World-Predictive-Modeling
In this project, it is applied Neural Networks and Decision Tree predictive models in SAS Enterprise Miner, compared the models and choose the best model to predict target column in unseen data.
Top-250-French-Movies-EDA-Sentimental-Analysis
In this project, it is applied EDA, WordCloud visualization and Sentimental Analysis to understand overall mood of the movies by audience.