MLQuantum

Machine Learning with Quantum Computing The multivariate linear regression is one of the most used techniques to make predictions on the basis of a set of training data. It responds to questions like: at what price I can expect to sell a house of 100 square meters with 4 rooms? What is the expected market growth depending on the increase of salaries and other KPIs? What I tried to do was to provide a so called Normal Form solution by using Quantum Computing algorithms with the purpose of making QC more familiar

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https://lnkd.in/d8azxHJ

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
3SAT Grover_FS.ipynb		3SAT Grover_FS.ipynb
Classic Clustering Example.ipynb		Classic Clustering Example.ipynb
Classic clustering Example.ipynb		Classic clustering Example.ipynb
Ex1 Regressione lineare monovariata.ipynb		Ex1 Regressione lineare monovariata.ipynb
Ex2 Multivariate Regression.ipynb		Ex2 Multivariate Regression.ipynb
Ex3 Logistic Regression.ipynb		Ex3 Logistic Regression.ipynb
Exercise1.ipynb		Exercise1.ipynb
Exercise1_full.ipynb		Exercise1_full.ipynb
Exercise1_multi_quantum.ipynb		Exercise1_multi_quantum.ipynb
Exercise2_logistic.ipynb		Exercise2_logistic.ipynb
Mall_Customers.csv		Mall_Customers.csv
Quantum Clustering Example new.ipynb		Quantum Clustering Example new.ipynb
Quantum Clustering Example.ipynb		Quantum Clustering Example.ipynb
QuantumDistances.csv		QuantumDistances.csv
Quantumnew2.csv		Quantumnew2.csv
README.md		README.md
Titanic.ipynb		Titanic.ipynb
ex1.csv		ex1.csv
ex1_to_be_completed.ipynb		ex1_to_be_completed.ipynb
ex1data1.csv		ex1data1.csv
ex1data2.csv		ex1data2.csv
ex2data1.csv		ex2data1.csv
test.csv		test.csv
train.csv		train.csv

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