Predict which of two different computer brands that customers tend to prefer.
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Updated
May 8, 2021 - R
Predict which of two different computer brands that customers tend to prefer.
OptimClassifier — Create the Best Train for Classification Models
Performed dataset analysis and predicted the crime category using Naïve Bayes classification. R language, R Studio
Implementation of unsupervised and supervised algorithms.
Bu uygulamada; C4.5, C5.0 ve CART algoritmalarını kullanarak sınıflandırma gerçekleştirdim.
1. Algoritmos de clasificación de operaciones financieras / 2. Liquidez (horquillas y profundidad) / 3. Descomposición de horquillas / 4. Modelos basados en series temporales
In this project, I trained an SVM model to classify donors (By making a buy) and to answer the question "How likely would a donor donate the next time?" based on his/her Age and Income.
Data Analytics: Predicting Customer Preferences 2020
Classification and clustering texts
It's a little knowledge base using some scripts that I faced in my professional life.
Laboratoria z LSED i MSR (LSED - Laboratorium Statystycznej Eksploracji Danych; MSR - Zastosowanie pakietu R w statystyce medycznej)
Hack Aotearoa 2020
Predicting the churn of customers in a Telecom company using classification algorithms.
This repository contains various classification, clustering and data analysis code.
🌳 Predicting a wildfire's severity using classification models
As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.
R / Kaggle Competition / Rank 2nd - Classification algorithms to determine if a customer is going to answer positively to a Marketing campaign.
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