In this event, the algorithms, workflows and toolboxes of MATLAB in these areas were examined in detail, focusing on artificial intelligence and machine learning. In addition, examples from real world projects were presented and artificial intelligence applications developed with MATLAB were demonstrated with examples.

The gains I have achieved with this course:
✅Data Structures
✅Functions
✅Conditions, Loops
✅Comprehension
✅Data Analysis with Python (Numpy, Pandas)
✅Data Visualization
✅Advanced Exploratory Data Analysis
and I was entitled to receive this certificate.

The gains I have achieved with this course:
✅ Outliers
✅ Missing Values
✅ Encoding Scaling (Label Encoding, One Hot Encoding, Rare Encoding, Feature Scaling)
✅ Feature Extraction (Binary Features, Text Features, Regex Features, Date Features, Feature Interaction)
and I was entitled to receive this certificate.

The gains I have achieved with this course:
✅Linear Regression
✅Logistic Regression
✅KNN (K-Nearest Neighbors)
✅CART (Classification and Regression Tree)
✅Advanced Tree Methods (Random Forests, Gradient Boosting Machines, XGBoost, LightGBM, CatBoost)
✅Unsupervised Learning (K-Means, HCA, PCA)
✅Machine Learning Pipeline
and I was entitled to receive this certificate.

I learn how to work on complex programming projects efficiently, to get the data in the shape that your program needs, how to prepare and process your data to understand the story it holds.
Course content:
✅Introduction and review
✅Object-oriented programming
✅Preparing data
✅Processing data
✅Working with datasets
✅Data visualization
✅Wrap up

Course content:
✅Introduction to machine learning
✅Regression
✅Classification
✅Clustering
✅Regularization
✅Models
✅Wrap up & final project

Course contents with general headings in this long-term course:
✅Gas Turbine Engines
✅Piston Engines in Aviation
✅Engine Parts, Engine Materials & Special Processes
✅Engine and Component Tests & Instrumentation

I have successfully achieved student level credential for completing CyberOps Associate course administered by the Cisco Networking Academy & UNX Academy. This student-level credential provides a broad understanding of Security Operations. I developed many skills in cybersecurity by completing hands-on lab using virtual machines (Security Onion - ELK) and/or Cisco Packet Tracer.
Link for the badge I earned

I have successfully achieved student level credential for completing Cisco Networking Academy IoT Security course administered by the Cisco Networking Academy & UNX Academy.

Some skills I have acquired:
✅Think algorithmically / how to analyze a problem and translate it for a computer to process.
✅Design, develop, and improve multi-module computer programs.
✅Analyze and model real-life problems in Object-Oriented Programming categories.
✅Understand a programmer's work in the software development process.
✅Learn how a program is executed in a computer environment.
✅Gain skills to create and develop your own programming portfolio

It is the certificate I have earned for completing the training given by BTK Academy and achieving success. Within the scope of this training, the basics of Python are laid and the stages of project development with the TensorFlow library are included.

It is aimed to teach the Git version control system, which is frequently encountered in software development processes and helps us manage our processes, to software developers in a comprehensive way.

Course content:
✅Python Basics
✅Object Oriented Programming
✅Handling with Errors
✅Numpy Library
✅Pandas Library
✅Matplotlib Library