Machine Learning in Python with use of Linear Regression, Nearest Neighbours Kfold

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.gitignore		.gitignore
AmesHousing.tsv		AmesHousing.tsv
AmesHousing.txt		AmesHousing.txt
DataDocumentation.txt		DataDocumentation.txt
ML-1.ipynb		ML-1.ipynb
ML-10-classification-students.ipynb		ML-10-classification-students.ipynb
ML-11-Classification-multi-classe.ipynb		ML-11-Classification-multi-classe.ipynb
ML-2.ipynb		ML-2.ipynb
ML-3.ipynb		ML-3.ipynb
ML-4-case-cars-clean.ipynb		ML-4-case-cars-clean.ipynb
ML-4-case-cars.ipynb		ML-4-case-cars.ipynb
ML-4-case-golf.ipynb		ML-4-case-golf.ipynb
ML-5-case-houses-linear-reg-Copy1.ipynb		ML-5-case-houses-linear-reg-Copy1.ipynb
ML-6-case-houses-linear-reg-part-2.ipynb		ML-6-case-houses-linear-reg-part-2.ipynb
ML-7-gradient-descent.ipynb		ML-7-gradient-descent.ipynb
ML-8-caracteristiques-transform.ipynb		ML-8-caracteristiques-transform.ipynb
ML-9-case-houses-predict-prizes.ipynb		ML-9-case-houses-predict-prizes.ipynb
README.md		README.md
admissions.csv		admissions.csv
golf-data-extended.csv		golf-data-extended.csv
golf-data.csv		golf-data.csv
imports-85.data		imports-85.data
imports-85.names		imports-85.names
paris_airbnb.csv		paris_airbnb.csv
paris_airbnb_2.csv		paris_airbnb_2.csv
paris_airbnb_test.csv		paris_airbnb_test.csv
paris_airbnb_train.csv		paris_airbnb_train.csv
requirements.txt		requirements.txt
sphist.csv		sphist.csv

Provide feedback