Emanuele Cutore's starred repositories
scikit-learn
scikit-learn: machine learning in Python
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
matplotlib
matplotlib: plotting with Python
handson-ml3
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-api
Official Kaggle API
category_encoders
A library of sklearn compatible categorical variable encoders
pyspark-tutorial
PySpark-Tutorial provides basic algorithms using PySpark
pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
LyricsGenius
Download song lyrics and metadata from Genius.com 🎶🎤
drawio-diagrams
Diagrams for draw.io
PyomoGallery
A collection of Pyomo examples
Python_SQL
A notebook working with Python and MySQL, using MySQL Connector.
beautiful-date
Simple and beautiful way to create date and datetime objects in Python.
SQL_School_Tutorial
This repo contains the associated files for my tutorial series about MySQL at Towards Data Science
ninja_automator
Acquire data with honour and wisdom — using the way of the ninja.
Python-in-100-minuti
Guida rapida al linguaggio di programmazione Python
mo-book.ampl.com
Data-Driven Mathematical Optimization with AMPL in Python
RECOpt
The repository contains a routine that optimizes the operation of a PV system with energy storage for fixed or variable (parametric) sizes for both of them, in the context of collective self-consumption and energy communities in Italy. PV production data are to be provided by the user (PVGIS database can be used), while consumption profiles are generated for an aggregate of households using probabilistic methods.