Programming & Data Analysis
Programming & Data Analysis
Python:
- Python Data Structures (Use of Files, Lists, Dictionaries, Tuples, etc.)
- Tensorflow, Keras, Pytorch, Scikit-learn
- Data Visualization Using Matplotlib and Seaborn
- Using Python for DL Algorithm Like CNN, RNN and ML Algorithm Like SVR, Sktime ( For time series analysis and forecasting)
MATLAB:
- Design optimization with MATLAB
- Data cleaning and Visualization with MATLAB
Document Preparation & Others
Latex:
- Creating Publication-Quality Documents Using LaTeX
- Use of Texstudio with MiKTeX
- Use of BibTeX for Reference Management
- Use of Beamer for Presentation
InkScape:
- Creating and editing vector graphics.
- Drawing Machine learning and Deep learning model architecture
Microsoft Office Tools:
- Data Analysis Using Microsoft Excel
- Proficiency Microsoft Word and Microsoft PowerPoint
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