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10 class Classification Of Cells Using Logistic Regression.ipynb
10 class Classification Of Cells Using Logistic Regression.ipynb
 
 
10 class Classification Of Cells Using Neural Network.ipynb
10 class Classification Of Cells Using Neural Network.ipynb
 
 
10_class_Classification_Of_Cells_Using_FFNN_RELU.ipynb
10_class_Classification_Of_Cells_Using_FFNN_RELU.ipynb
 
 
Binary Classification Of Cells Using Logistic Regression.ipynb
Binary Classification Of Cells Using Logistic Regression.ipynb
 
 
Binary Classification Of Cells Using Neural Network.ipynb
Binary Classification Of Cells Using Neural Network.ipynb
 
 
Capacitance Estimation.ipynb
Capacitance Estimation.ipynb
 
 
Dimensionality Reduction Using Principal Component Analysis.ipynb
Dimensionality Reduction Using Principal Component Analysis.ipynb
 
 
Linear Regression with One Variable.ipynb
Linear Regression with One Variable.ipynb
 
 
Multinomial Regression with Multiple Variables.ipynb
Multinomial Regression with Multiple Variables.ipynb
 
 
README
README
 
 

README

These notebooks are created and tested with following infrastructure.

1. Jupyter Notebook 5.1.0 (http://jupyter.org)
2. Python 3.6.3 (https://www.python.org)
3. numpy 1.13.3 (http://www.numpy.org)
4. Tensorflow 1.4.0 (http://tensorflow.org)