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bayukurnia.com icon bayukurnia.com

My personal website built with Next.js, Vanilla Extract, and Contentlayer

gbdt-and-rf-to-amazon-reviews-dataset icon gbdt-and-rf-to-amazon-reviews-dataset

GBDT(Gradient Boosting Decision Tree) and RF(Random Forest) algorithm is applied on amazon reviews datasets to predict whether a review is positive or negative. Procedure to execute the above task is as follows: • Step1: Data Pre-processing is applied on given amazon reviews data-set. • Step2: Time based splitting on train and test datasets. • Step3: Apply Feature generation techniques(BOW,TF-IDF,avg w2v,tfidfw2v) • Step4: Apply GBDT(Gradient Boosting Decision Tree) algorithm using each technique. • Step5: Apply RF(Random Forest) algorithm using each technique. • Step6: To find Number of Base learners(m) using gridsearch cross-validation in case of RF(Random Forest) algorithm . • Step7: To find Number of Base learners(m),depth,learning rate(v) using gridsearch crossvalidation in case of RF(Random Forest) algorithm. 0.2 Objective: • To classify given reviews (positive (Rating of 4 or 5) & negative (rating of 1 or 2)) using GBDT(Gradient Boosting Decision Tree) and RF(Random Forest) algorithm .

manning icon manning

Repository for the book Grokking Machine Learning, by Manning Editors

ml.manash.me icon ml.manash.me

:alien: Open Source Bangla Machine Learning Book :gift:

mlcrate icon mlcrate

A python module of handy tools and functions, mainly for ML and Kaggle

siml icon siml

Machine Learning algorithms implemented from scratch

themlbook icon themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

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