PracticalMachineLearning

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.DS_Store		.DS_Store
.gitignore		.gitignore
1 - Linear Regression.ipynb		1 - Linear Regression.ipynb
10 - Convolutional Neural Networks.ipynb		10 - Convolutional Neural Networks.ipynb
11 - Gradient Descent.ipynb		11 - Gradient Descent.ipynb
12 - Real Case Studies.ipynb		12 - Real Case Studies.ipynb
2 - Logistic Regression.ipynb		2 - Logistic Regression.ipynb
3 - Decision Trees.ipynb		3 - Decision Trees.ipynb
3 - Gaussian Naive Bayes.ipynb		3 - Gaussian Naive Bayes.ipynb
4 - Bagging, Forest, & Boosting.ipynb		4 - Bagging, Forest, & Boosting.ipynb
4 - k-Nearest Neighbor.ipynb		4 - k-Nearest Neighbor.ipynb
5 - Decision Trees.ipynb		5 - Decision Trees.ipynb
6 - Random Forest.ipynb		6 - Random Forest.ipynb
7 - Gradient Boosted Trees.ipynb		7 - Gradient Boosted Trees.ipynb
7 - Support Vector Machines.ipynb		7 - Support Vector Machines.ipynb
8 - Neural Networks.ipynb		8 - Neural Networks.ipynb
9 - Deep Neural Networks.ipynb		9 - Deep Neural Networks.ipynb
README.md		README.md

Provide feedback