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cerenyanik/README.md

Ceren Yanik

Data Scientist & Python Developer :electron:

Technologies

Python, Libraries (Scikit-Learn, Pandas, Matplotlib, NumPy, TensorFlow, Keras, Seaborn),
Machine Learning, SQL, Git & GitHub, Benchling, AWS, Docker, Big Data Ecosystem, Big O Notation

Dual Nationality and Language

  • 🇬🇧 English (Professional working competence)
  • 🇹🇷 Turkish (Native Language)

How to Connect with Me?

E-Mail: cerenynk@hotmail.com
LinkedIn: My LinkedIn Page

Currently eligible for a Data Scientist or Python Developer role. Lives in Stratford-upon-Avon but ready to relocate.

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  1. Best_Survival_Model_Detection-Titanic Best_Survival_Model_Detection-Titanic Public

    In this study, after detailed Exploratory Data Analysis, 5 different machine learning models were tested on Titanic Data to answer the question "What sorts of people were more likely to survive?" a…

    Jupyter Notebook

  2. Customer_Churn-DecisionT_RandomF Customer_Churn-DecisionT_RandomF Public

    In the Customer Churn Project, detailed customer analysis was carried out to better understand the profile of people who will be churned, and customer churn was estimated using Decision Tree and Ra…

    Jupyter Notebook

  3. Customer_Segmentation-Hierarchical_Clustering Customer_Segmentation-Hierarchical_Clustering Public

    In this Unsupervised Machine Learning Project, customers determined using the Hierarchical Clustering Model created with the Sklearn library were divided into 4 targeted segments.

    Jupyter Notebook

  4. Heart_Failure_Estimation-ANN Heart_Failure_Estimation-ANN Public

    In this Supervised Machine Learning Project, it is aimed to create a model to estimate mortality caused by Heart Failure by using the Artificial Neural Network Model.

    Jupyter Notebook

  5. Linear_Regression_Flight_Data Linear_Regression_Flight_Data Public

    In this study, which includes Flight Take Off data, Exploratory Data Analysis was carried out in order to better understand the reasons for taxi-out causing high costs; and Linear Regression Model …

    Jupyter Notebook

  6. Visualizing_Earthquake_Data Visualizing_Earthquake_Data Public

    In this study, Matplotlib, Pandas, Numpy and Datetime libraries were used and Exploratory Data Analysis (EDA) was performed on earthquake data.

    Jupyter Notebook