- Artificial Intelligence and Machine Learning (AI/ML)
- PyTorch (Machine Learning Library)
- Scikit Learn (Machine Learning Library)
- Data Manipulation
- Keras (Neural Network Library)
- NumPy
- Image Analysis
- Deep Learning
- Artificial Neural Networks
- Jupyter
- Data Science
- Pandas (Python Package)
Python per la Data Science
Completed by DANIELE MARIO AREDDU
June 1, 2023
18 hours (approximately)
DANIELE MARIO AREDDU's account is verified. Coursera certifies their successful completion of Python per la Data Science
What you will learn
Imparare a manipolare e visualizzare i dati python, tramite l'uso di alcune librerie molto diffuse
Imparare a instanziare, addestrare ed utilizzare reti neurali (feedforward e ricorrenti) usando scikit learn
Imparare ad usare i tool Keras e PyTorch per il deep learning
Instanziare e utilizzare una rete encoder/decoder per la segmentazione semantica e come usare reti deep pre-addestrate per la object detection
Skills you will gain
