Neural Networks & Deep Learning
Advanced
Comprehensive understanding of neural network architectures, backpropagation,
and optimization techniques. Experience with CNNs, RNNs, and attention mechanisms.
PyTorch
TensorFlow
Keras
Machine Learning Algorithms
Advanced
Solid foundation in classification, regression, SVM, Bayesian learning,
decision trees, and ensemble methods.
Scikit-learn
NumPy
Pandas
Data Science & Analysis
Intermediate
Experience with data preprocessing, feature engineering, statistical analysis,
and data visualization techniques.
Matplotlib
Seaborn
Jupyter