Introduction:

The Deep Learning Time Series Project is an advanced thesis associated with the University of Thessaly, focusing on predictive modeling using deep learning and machine learning techniques. The project aims to predict the number of citations an author will receive based on their publications in scientific papers, magazines, and journals. This work demonstrates expertise in understanding data science fundamentals, data processing, and comparing machine learning and deep learning models for multivariate time series analysis.

Key Skills Gained:

• Artificial Intelligence (AI)
• Data Analysis
• Data Science
• Python / R
• Data Engineering
• Deep Learning
• Machine Learning
• Big Data
• Big Data Analytics
• Data Analytics
• Data Mining
• Data Visualization
• Statistical Data Analysis
• Statistical Modeling
• Statistics
• SciPy
• Scikit-Learn
• Pandas (Software)
• NumPy
• TensorFlow
• Computer Science
• Seaborn
• Matplotlib
• Python (Programming Language)
• JupyterNotebook / JupyterLab / GoogleColab
• Jupyter
• PyCharm