datascientist-hist Goto Github PK

bitcoin-price

Using LSTM to predict Bitcoin Price

bottles-synthetic-images-classification

Classification bottles using ResNet-18

convolutiona-neural-network-explanation

Expalined on Kaggle by user DATAI

crimes-in-italy-dashboard

Project done with my colleague Orazio Pontorno

data-pipeline

A journey through the data pipeline

demo-mysql

Example of an exam

foliar-diseases-classification

Identify the category of foliar diseases in apple trees

football-results-classification

gan_augmentation

Use a Gan to increase the number of images of a dataset to improve the performance of a classifier

geometric-ward-method

A new geometric ward's method

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kaggle-competition-house-prices

The second project on Kaggle

kaggle-competition-titanic

This is my first Code Competition on Kaggle

knowledge-discovery

Knowledge Discovery HW1/HW2

ml

Machine learning tools in JavaScript

portfolio-giuseppe-pulino

Portfolio Projects

project-walkthroughs

spam_messages_classification

talend

Python Code used to implement a pipeline in Talend

water-potability-prediction-in-python

The objective of this project is to analyze and study, through the use of supervised and non-supervised machine learning methods, the potability of water from data in the 'drinking water potability' dataset.