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aitextgen

A robust Python tool for text-based AI training and generation using GPT-2.

bayesclassifierrainprediction

We are using Bayes theorem on Seattle rain data set from Kaggle. Here we have used Gaussian pdf.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

knn

logisticregression

Logistic regression is a classification algorithm used to assign observations to a discrete set of classes. Unlike linear regression which outputs continuous number values, logistic regression transforms its output using the logistic sigmoid function to return a probability value which can then be mapped to two or more discrete classes.

multivariatelinearregression

Here we will take KC housing data set from kaggle and apply multivarite linear regression on 18 features to predict the price of the house.

naive-bayes-spam-classifier

neuralnetworks

Credit card fraud detection using neural networks

potential-enigma

Linear Regression from scratch

simplelinearregression

Linear Regression is a statistical method of finding relationship between independent and dependent variables. We have taken a data set with single independent variable to understand in a better way.

smart-qr-code-scanner

stopwords-mr

Marathi stopwords collection

tutorial-0-welcome

A resource to welcome people to Orquestra.

vehicle_detection_haarcascades

Vehicle Detection by Haar Cascades with OpenCV