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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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Machine-Learning

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

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Machine Learning in Scikit-Learn and TensorFlow

Topics

tensorflow scikit-learn cross-validation pipelines regression beautifulsoup audio-data decision-trees bootstrapping knn svm-model hyperparameter-tuning feature-scaling elastic-net nueral-networks stationarity time-series-data

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