ScikitLearn-Machine-Learning
Requirements:
Python (>= 2.6 or >= 3.3),
NumPy (>= 1.6.1),
SciPy (>= 0.9).
To install Scikit follow the steps :
pip install -U scikit-learn
or :
conda install scikit-learn
Documentation : Scikit-Learn
Using Scikit Learn to train classifiers.
Directory : apples-oranges
Program 1 : Apples and Oranges
Classifier to predict the apple and oranges based on the feature table.
Now vizualizing the IRIS dataset
Directory : iris-data-vizualization
Program 1 : 1.dataset-view (to just view rows i.e features and results)
Program 2 : 2.Preparing-Training-Data-Classifier (preparing the training classifier and testing it on the data to predict the results and comparing it with test data to measure the efficiency)
Program 3 : 3.Final-Prediction-with-vizualization (Source code of Program 2 with the vizualization in pdf)