Machine-Learning-Supervised

Description

Using regression, tree, bagging, boosting, probabilistic models to learn the patterns from data and predict the future

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
ANNs		ANNs
Decision_Trees		Decision_Trees
Dimensionality reduction		Dimensionality reduction
Hyper plane models		Hyper plane models
Lasso_Ridge_Regression		Lasso_Ridge_Regression
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
Naive Bayes		Naive Bayes
SoftMax Regression		SoftMax Regression
.gitignore		.gitignore
Bagging Techniques.ipynb		Bagging Techniques.ipynb
Bias-Variance.ipynb		Bias-Variance.ipynb
Boosting Techniques.ipynb		Boosting Techniques.ipynb
ML_101.ipynb		ML_101.ipynb
README.md		README.md
Tree Based Techniques.ipynb		Tree Based Techniques.ipynb
acc1.png		acc1.png
accuracy.png		accuracy.png
confusion_matrix.png		confusion_matrix.png
f1_score.png		f1_score.png
image-1.png		image-1.png
image.png		image.png
mae.png		mae.png
mse.png		mse.png
performance_metrics.ipynb		performance_metrics.ipynb
precision.png		precision.png
recall.png		recall.png