PyStatsLearn

This is a python module which is made for education purpose. The aim is to implement machine learning algorithms and publish it. Currenlty this package has 2 functionalities

1. Calculating mean by taking a dataframe as an input. (Mean Calculates is not done by using any library. The code is developed from scratch)
2. Implemeted Gaussian Naive Bayes Classifier which is build upon numpy

Installation

pip install PyStatsLearn

Usage

import pandas as pd
from PyStatsLearn.PyLearn import Measure, GaussianNaiveBayesClassifier
from sklearn.model_selection import train_test_split

df = pd.read_excel('data.xlsx')

a = Measure(df)
print(a.mean('Insulin'))


X = df.iloc[:, :-1]
y = df.iloc[:, -1]

X = X.to_numpy()
y = y.to_numpy()
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25)

nb_classifier = GaussianNaiveBayesClassifier()

nb_classifier.train(X_train, y_train)

predictions = nb_classifier.predict(X_test)
print(predictions)