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Course for Advanced Data Science with Python

Advanced course that explains advanced machine learning and deep learning techniques through practical examples and exercises using complex datasets.
€2400
€1200
Exclusive price for the first 25 students.
Level
Advanced
Duration
10 Weeks
Starting date
Мај
Јазик
Англиски
Requirements
Finished courses "Python Programming" и "Data Science Basics with Python"
Language
English

Course details

  • Advanced AI Concepts: An overview of artificial intelligence introducing advanced topics such as deep learning and neural networks.
  • Time Series Analysis: Exploration of methodologies like ARIMA and SARIMA for time series analysis.
  • Random Forests: In-depth study of decision tree algorithms and random forests.
  • Reinforcement Learning: Fundamentals of reinforcement learning, including Q-learning, deep Q-networks, and policy gradients.
  • Deep Learning: Introduction to neural networks, convolutional neural networks, and other advanced models, with practical implementation exercises.
  • Natural Language Processing (NLP): Text data preprocessing, word embeddings, and hands-on work with NLP libraries in Python.
  • Model Evaluation: Techniques for evaluating advanced machine learning models (precision, recall, cross-validation).

Upon completion, students will be able to implement, optimize, and critically evaluate complex machine and deep learning models, applying them to address specific real-world challenges in AI and data science.

  • Python
  • Spyder
  • Jupyter Notebook

All tools are free, and instructions for downloading and installing them will be provided at the start of the program.

Learning paths
€2400
€1200
Exclusive price for the first 25 students.

Educators

Tomaž Kaštrun

Data Scientist and SQL Server Guru
Tomaž Kaštrun is a data scientist and SQL Server expert with over 20 years of experience in data science and data engineering. A recognized speaker at official Microsoft events, Tomaž is also a blogger and the author of numerous technical papers and books.
More about Tomaž

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