Enroll Course: https://www.udemy.com/course/python-ile-programlama-ve-yapay-zekaya-giris/
Are you looking to dive into the exciting world of Artificial Intelligence and Machine Learning? The Udemy course ‘Python Programlama ve A’dan Z’ye Makine Öğrenmesi’ (Python Programming and Machine Learning from A to Z) is an excellent starting point, designed for both absolute beginners and those with programming experience looking to specialize in Python and AI.
This comprehensive course takes a practical approach, blending theoretical concepts with hands-on coding examples and quizzes to ensure you grasp the material effectively. You’ll learn to use two powerful Integrated Development Environments (IDEs) favored in the AI community: Spyder and Jupyter Notebook. The course provides clear instructions on how to install these IDEs, along with Python 3 itself, on your Windows 10 machine. While the development environment is Windows, the Python libraries used are cross-platform, making them compatible with Mac and Linux as well.
The curriculum is structured into three main parts:
**Part 1: Python Programming – From Zero to Expert**
This section covers the fundamentals of Python programming, starting with basic syntax like print functions and variables, moving through arithmetic operations, control flow (if/elif/else), functions, and data types (lists, tuples, dictionaries). You’ll also delve into intermediate concepts such as modules, loops, lambda functions, error handling (try/except), and advanced topics like Object-Oriented Programming (OOP), file I/O, regular expressions, and network programming with sockets. The course even includes practical projects like building a calculator, a face recognition system using OpenCV, and analyzing Google Trends. A significant highlight is a practice exam featuring interview questions from tech giants like Facebook, Google, and Microsoft.
**Part 2: Machine Learning with Python**
This part introduces you to essential Python libraries for machine learning, including Pandas, NumPy, and Matplotlib. You’ll get acquainted with the Kaggle platform, a hub for datasets, and Jupyter Notebooks for data analysis. The course covers core machine learning concepts like mean, median, mode, variance, standard deviation, and outlier detection. You’ll then dive into various regression models (Linear, Multiple Linear, Polynomial), classification algorithms (KNN, Logistic Regression, Decision Trees, Random Forest, SVM), clustering (K-Means), recommendation systems, and dimensionality reduction (PCA). Each model is explained with theory and practical Python examples.
**Part 3: Machine Learning Model Deployment with Flask REST APIs**
This newly added section bridges the gap between building models and deploying them. You’ll learn how to save and load your trained machine learning models and then use Python’s Flask framework to create REST APIs. This allows you to serve your models as web services. The course includes building example client programs to interact with your APIs, culminating in a capstone project: developing a sentiment analysis tool for IMDB movie reviews using Natural Language Processing (NLP).
**Recommendation:**
‘Python Programlama ve A’dan Z’ye Makine Öğrenmesi’ is a highly recommended course for anyone serious about learning Python and Machine Learning. Its structured approach, extensive practical examples, real-world datasets from Kaggle, and coverage of deployment aspects make it an invaluable resource. The inclusion of interview-style questions and projects like face recognition and sentiment analysis ensures you gain both foundational knowledge and practical skills applicable in the job market. You’ll receive a digital certificate upon completion, validating your new expertise.
Enroll Course: https://www.udemy.com/course/python-ile-programlama-ve-yapay-zekaya-giris/