Machine-Learning

Practice with machine learning in scikit-learn, tensorFlow, and distributed computing.

Name		Name	Last commit message	Last commit date
Latest commit History 92 Commits
Columbia-Machine-Learning-Course		Columbia-Machine-Learning-Course
Cornell-Machine-Learning		Cornell-Machine-Learning
Automatic Data Preparation.ipynb		Automatic Data Preparation.ipynb
Data Exploration - Heart Disease Prediction with Sklearn		Data Exploration - Heart Disease Prediction with Sklearn
Email Spam Classifier - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow		Email Spam Classifier - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
GLM.ipynb		GLM.ipynb
Heart Disease Prediction with Sklearn		Heart Disease Prediction with Sklearn
Holt_Winters_Method.R		Holt_Winters_Method.R
ML Custom Functions		ML Custom Functions
MNIST 97% Accuracy Exercise - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow		MNIST 97% Accuracy Exercise - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Model Precision in Scikit-learn		Model Precision in Scikit-learn
Neural Networks in TensorFlow		Neural Networks in TensorFlow
Preprocessing and Pipelines in Sklearn		Preprocessing and Pipelines in Sklearn
README.md		README.md
Regression with Scikit-learn		Regression with Scikit-learn
Time Series Models in Scikit-learn		Time Series Models in Scikit-learn
Working with Time Series as Inputs to a Model		Working with Time Series as Inputs to a Model
arima_model_gov_expenditures.Rmd		arima_model_gov_expenditures.Rmd
arima_model_gov_expenditures.pdf		arima_model_gov_expenditures.pdf
backup		backup
hyp_test.Rmd		hyp_test.Rmd
neural_networks.ipynb		neural_networks.ipynb
parralel.rmd		parralel.rmd

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