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Biomass

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

data-analysis-with-python-pipeline

In this series of tutorials I am demonstrating the whole pipeline of Data-wrangling, exploratory data analysis and development and evaluation of machine learning models using python.

data-driven_building_simulation_polimi_eetbs

In this repository, you found the notebooks and data regarding the lessons on Data-driven building behaviour prediction and simulation which have been offered in the context of "Energy and Environmental Technologies for Building System" course at Politecnico di Milano

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

git_class

Testing phase

machinelearning_smartmeteranalytics

Master Thesis for Energy Engineering #Python. This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector machines. This repository is still immature. More notebooks will being added and updated in the future.

myproj

nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

python4scientificcomputing_fundamentals

This repository includes the guidelines and the exercise files of the first part of my lectures on python for scientific programming which is dedicated to a general introduction to Python programming language. These lectures are a part of the "Energy and Environmental Technologies for Building Systems" course offered for M.Sc in Energy Eng. at Politecnico di Milano.

python4scientificcomputing_numpy_pandas_matplotlib

python4ScientificComputing, Numpy, Pandas and MATPLotLIB

real-time-gesrec

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture and Jester

torrentmerge

Merge incomplete files downloaded using the BitTorrent protocol