Skip to content
View emrecanduran's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report emrecanduran

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
emrecanduran/README.md

Hi there 👋, I'm Emrecan

I'm currently doing my master's degree in Data Science. I really enjoy learning about Machine Learning and how it's used in different areas. Even though I do not have professional experience yet, I continue to be eager to learn and discover the unlimited applications of data science.

The tools I use:

  • Python 🐍: Data analysis, manipulation, visualization and modeling.
  • MySQL 🗄️: Data retrieval, and manipulation.
  • Databricks 💻: Skilled in utilizing Databricks for big data analytics and machine learning applications.
  • SAS 📊: Familiar with SAS for statistical analysis, data management, reporting purposes and modeling.
  • Azure Web App ☁️: Gaining hands-on experience by deploying machine learning models as web applications on the Azure platform.

github linkedin instagram

Pinned

  1. End-to-End-Azure-ML-Regression-Deployment End-to-End-Azure-ML-Regression-Deployment Public

    This repository contains code and resources for deploying a machine learning regression model using Azure App Service for a real estate house price prediction.

    Python

  2. Marketing-Campaign-Classification Marketing-Campaign-Classification Public

    In this repository, two tree-based models from different families-bagging(RF) and boosting(XGB)- are implemented using the CRISP-DM process to predict responses for a marketing campaign, incorporat…

    Jupyter Notebook

  3. SAS-Enterprise-Miner-Wonderful-Wines-Of-The-World-Predictive-Modeling SAS-Enterprise-Miner-Wonderful-Wines-Of-The-World-Predictive-Modeling Public

    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.

  4. Databricks-Big-Data-Binary-Classification Databricks-Big-Data-Binary-Classification Public

    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-squa…

    Jupyter Notebook

  5. CRISP-DM-Process-Market-Basket-Analysis-on-TripAdvisor-Portugal-based CRISP-DM-Process-Market-Basket-Analysis-on-TripAdvisor-Portugal-based Public

    Market Basket Analysis, Portugal based, on TripAdvisor Top 100 Tourist Attractions dataset from January 1, 2019 to August 21, 2021.

    Jupyter Notebook

  6. MySQL-Relational-Database-for-Small-Fictitious-Business MySQL-Relational-Database-for-Small-Fictitious-Business Public

    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 f…