Corsi di Data Science

4 ore

25 capitoli

Avanzato

Competenze acquisite: Neural Networks, Model Training and Evaluation, Data Preprocessing, Hyperparameter Tuning, Machine Learning with scikit-learn

4 ore

32 capitoli

Intermedio

Competenze acquisite: Machine Learning with scikit-learn, Model Training and Evaluation, Hyperparameter Tuning

5 ore

29 capitoli

Avanzato

Competenze acquisite: Natural Language Processing, Natural Language Handling

3 ore

18 capitoli

Avanzato

Competenze acquisite: TensorFlow Basics, Neural Networks, Python Data Structures, Data Preprocessing

2 ore

19 capitoli

Intermedio

Competenze acquisite: Linear Regression with Python, Model Training and Evaluation

3 ore

24 capitoli

Intermedio

Competenze acquisite: Python Programming, Python Classification Models, Logistic Regression, Data Preprocessing, Model Training and Evaluation, Hyperparameter Tuning

4 ore

34 capitoli

Intermedio

Competenze acquisite: Clustering fundamentals and algorithms , Handling missing and categorical data , Data normalization and distance metrics , K-Means: principles and cluster optimization , Hierarchical clustering and dendrograms , DBSCAN: noise handling and irregular shapes , Gaussian Mixture Models: probabilistic clustering

3 ore

22 capitoli

Intermedio

Competenze acquisite: Understanding RNNs, LSTMs, and GRUs, Implementing recurrent networks in PyTorch, Processing time series and sequential data, Applying RNNs to NLP tasks (sentiment analysis) , End-to-end model development and evaluation

4 ore

29 capitoli

Intermedio

Competenze acquisite: Image Processing with OpenCV, Convolutional Neural Networks, Object Detection Approaches

6 ore

37 capitoli

Avanzato

1 STUDIANDO ORA

Competenze acquisite: Reinforcement Learning Foundations, Multi-Armed Bandit Algorithms, Dynamic Programming Methods, Monte Carlo Techniques, Temporal-Difference Learning, Gymnasium Basics

3 ore

20 capitoli

Avanzato

Competenze acquisite: PyTorch Basics, Neural Networks, Model Training and Evaluation