This repository contains code and tutorials for NLP
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Updated
Sep 30, 2017 - MATLAB
This repository contains code and tutorials for NLP
Implementation of the logistic function in GNU bash and bc
To build a classification model to predict the likelihood of a liability customer buying personal loans.
The objective of this simple logistic regression model is to predict the class of flower based on available attributes.
This repository contains the implementation of the Logistic Regression algorithm for classifying the Iris dataset using the One-vs-Rest (OvR) approach, developed with Python 3.12 and TensorFlow v2.16.
Logit function.
Logistic distribution skewness.
Logistic distribution variance.
Logistic Regression in tensorflow, with random datasets and also plotting the best fitted line
UWP application for fire prediction using logistic regression.
Predict the Cancer Data set by using Logistic Regression Algorithm and predict where the patient Benign or Malignant .
This is same problem which is solved in https://github.com/ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER project. But here we have used Logistic Regression instead of XGBClassifier to classify the Statuses as 0 or 1 i.e. Parkinson positive or negative. And clearly we can see that how our Accuracy suddenly dropped from 95% to 84% as we m…
Second project worked on at Hamoye Internship involving a classification problem.
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