Machine-Learning

This repository contains some examples(code) of different machine learning algorithms.

Created by Sanjay Sane

For access to all the codes join the course http://www.saneacademy.com/Machine-Learning-Algorithms.html

Name		Name	Last commit message	Last commit date
Latest commit History 70 Commits
Bagging Classifier - Breast Cancer Data.ipynb		Bagging Classifier - Breast Cancer Data.ipynb
Boston.csv		Boston.csv
BreastCancer.csv		BreastCancer.csv
BreastCancer_DecisionTree.ipynb		BreastCancer_DecisionTree.ipynb
Cancer.csv		Cancer.csv
Cars93.csv		Cars93.csv
Concrete_Data.csv		Concrete_Data.csv
Datasets.zip		Datasets.zip
Energy_2_output_model.ipynb		Energy_2_output_model.ipynb
FunctionalAPI.ipynb		FunctionalAPI.ipynb
HR_comma_sep.csv		HR_comma_sep.csv
Housing.csv		Housing.csv
Insure_auto.csv		Insure_auto.csv
K-NN Regression - Boston Housing.ipynb		K-NN Regression - Boston Housing.ipynb
KFold_svm.py		KFold_svm.py
KNIME_PY.txt		KNIME_PY.txt
Kyphosis.csv		Kyphosis.csv
Lin_Reg.py		Lin_Reg.py
Naive Bayes - Telecom.ipynb		Naive Bayes - Telecom.ipynb
README.md		README.md
Rec_Ipwidgets_ml.ipynb		Rec_Ipwidgets_ml.ipynb
SLR.md		SLR.md
Simple_Widget.ipynb		Simple_Widget.ipynb
Stack_Ensembler1.ipynb		Stack_Ensembler1.ipynb
Stack_Ensembler2.ipynb		Stack_Ensembler2.ipynb
Stack_Ensembler3.ipynb		Stack_Ensembler3.ipynb
Support Vector Machines.ipynb		Support Vector Machines.ipynb
Surprise_KNN_Filmtrust.ipynb		Surprise_KNN_Filmtrust.ipynb
Surprise_MF_Filmtrust.ipynb		Surprise_MF_Filmtrust.ipynb
Telecom.csv		Telecom.csv
Widgets_Interact.ipynb		Widgets_Interact.ipynb
best_model.py		best_model.py
box_plot_1.py		box_plot_1.py
col_trans.py		col_trans.py
conf_matrix.py		conf_matrix.py
custom_trn_loop-1.ipynb		custom_trn_loop-1.ipynb
cv_predict.ipynb		cv_predict.ipynb
diamonds.csv		diamonds.csv
gscv.py		gscv.py
hf_txt_classif_1.ipynb		hf_txt_classif_1.ipynb
infer1.py		infer1.py
iris.csv		iris.csv
knn.joblib		knn.joblib
milk.csv		milk.csv
nutrient.csv		nutrient.csv
pipe_gs_split.py		pipe_gs_split.py
pipe_tt_split.py		pipe_tt_split.py
pizza.csv		pizza.csv
recomm_datasets.zip		recomm_datasets.zip
requirements.txt		requirements.txt
rf.py		rf.py
scatter_plot1.py		scatter_plot1.py
stack-best.joblib		stack-best.joblib
strat.py		strat.py
wine.csv		wine.csv

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