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.ipynb_checkpoints
.ipynb_checkpoints
 
 
data
data
 
 
my_logs
my_logs
 
 
.DS_Store
.DS_Store
 
 
Chapter 2 - End to End Machine Learning Project - Housing Prices in California.py
Chapter 2 - End to End Machine Learning Project - Housing Prices in California.py
 
 
Classification Tree.py
Classification Tree.py
 
 
Clustering.ipynb
Clustering.ipynb
 
 
Decision Tree
Decision Tree
 
 
Decision Trees.ipynb
Decision Trees.ipynb
 
 
Deep Computer Vision using CNNs.ipynb
Deep Computer Vision using CNNs.ipynb
 
 
Dimensionality Reduction.ipynb
Dimensionality Reduction.ipynb
 
 
Ensemble Learning and Random Forests.ipynb
Ensemble Learning and Random Forests.ipynb
 
 
Fast AI and PyTorch Test.ipynb
Fast AI and PyTorch Test.ipynb
 
 
Hyperparameter Tuning.ipynb
Hyperparameter Tuning.ipynb
 
 
Intro to Artificial Neural Networks (ANNs).ipynb
Intro to Artificial Neural Networks (ANNs).ipynb
 
 
Linear Classifier.py
Linear Classifier.py
 
 
Linear Regression to predict housing prices in California.py
Linear Regression to predict housing prices in California.py
 
 
Linear Regression.py
Linear Regression.py
 
 
Logistic Regression (Binary and Multi-class Problem).ipynb
Logistic Regression (Binary and Multi-class Problem).ipynb
 
 
MNIST_classification.py
MNIST_classification.py
 
 
README.md
README.md
 
 
Regression Tree.py
Regression Tree.py
 
 
Regularized Linear Models.ipynb
Regularized Linear Models.ipynb
 
 
Support Vector Machines (SVM).ipynb
Support Vector Machines (SVM).ipynb
 
 
Training Deep Neural Networks.ipynb
Training Deep Neural Networks.ipynb
 
 
image
image
 
 
image.pdf
image.pdf
 
 
model.png
model.png
 
 
support vector machines.py
support vector machines.py
 
 

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handsonmachinelearning

Code snippets of ML methods I learned while reading: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems By Aurélien Géron

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