gianman89 Goto Github PK
Name: Gianluca Manca
Type: User
Company: ABB
Bio: Industrial AI Research Scientist @ABB.
Location: Oslo, Norway
Gianluca Manca's Projects
cifar-10_image_classifier
In this Udacity project, you'll demonstrate the skills you’ve developed in this course by building an image classifier and object detection system using PyTorch and the CIFAR-10 dataset.
conformal_prediction_early_time_series_classification
Using conformal prediction for early time series classification to incorporate the model's uncertainty over time.
customer_churn_prediction
Identify credit card customers that are most likely to churn.
disaster_response_pipeline
Udacity Data Scientist Nanodegree: analyze disaster data from Appen to build a model for an API that classifies disaster messages.
dog_breed_classifier
Udacity Data Scientist Nanodegree: Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
face_generation
Using Generative Adversarial Networks (GANs) to generate realistic images based on the CelebA dataset.
finding_donors
Testing different supervised learning approaches from sklearn for Udacity's Introduction to ML with PyTorch Nanodegree.
identify_customer_segments
In this Udacity project, two datasets are provided; one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. The aim is to look at relationships between demographics features, cluster the population, and identify customer segments.
landmark_classification_and_tagging
CNN-based classification and tagging app for landmarks in social media images.
mnist_handwritten_digits_classifier
Build, train, tune, and evaluate a deep neural network on the handwritten digits MNIST dataset.
online_causal_criticality_analysis
Online causal criticality analysis method for alarm floods in industrial process plants.
recommendation_engines
Udacity Data Scientist Nanodegree: Experimental design and recommendations for user interactions with IBM Watson Studio platform.
stackoverflow_survey_2017
Udacity Data Scientist Nanodegree: CRISP-DM process on a user survey of StackOverflow from 2017
text_translation_and_sentiment
The objective of this project is to analyze the sentiment of movie reviews in three different languages - English, French, and Spanish. We are using pre-trained transformer models from HuggingFace.
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