One Data Set with multiple Algorithms
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Updated
Nov 13, 2018 - R
One Data Set with multiple Algorithms
SASTuit a free tool for sentiment analysis on Twitter, analyze the technological trends in this social media for the classification of tweets in Spanish as positive, negative and neutral using artificial intelligence. Developer by Anibal Armando Herrera Contreras
This script demonstrate the Naive Bayes concepts
Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behavior, contract details and the payment details. The data also indicates which were the customers who canceled …
KNN, Naive Bayes and Trees - Wine UCI Dataset
Implementation of Naive Bayes algorithm for categorical data
Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.
Imbalanced classification with loan clients dataset.
This project focuses on predicting the attrition rate of employees by using different ML algorithms. The dataset is a fictional data taken from Kaggle
This project was conducted in my 3rd semester of Btech Data Science. Took a survey on home remedies from all kinds of people. We first cleaned our data and then predicted if one would prefer using home remedies or not using Naïve Bayes theorem in Excel as well as Python. Also tested a few hypotheses we made at the start of the project using z-te…
Predicting the income level of a person given demographic data.
Introduction to three machine learning models using the programming language R
Examples of some popular algorthms for solving problems in maschine learning
The data at hand is of flight satisfaction survey along with the customer flight information, the task at hand is to build a model that predicts satisfaction/dissatisfaction given the various attributes
Vežbe 6: Naivni Bajes
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
R mini project using Data Science and ML model
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
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