syenirasheila Goto Github PK

detection-of-rice-leaf-disease-in-indonesia-inceptionv3

This project aims to detect diseases on the leaves of rice plants in Indonesia using the Convolutional Neural Network (CNN) Inception V3 method to design a classification model and produce a high level of accuracy.

dicoding-androidfundamental

This repository is the study cases of Dicoding's Fundamental Android course.

dicoding-androidintermediate

This repository is the study cases of Dicoding's Android Intermediate course.

dicoding-appliedmachinelearningforandroid

This repository is the study cases of Dicoding's Applied Machine Learning for Android course.

dicoding-basicandroid

This repository is the study cases of Dicoding's Basic Android course.

fintechbanking-prediction-using-logisticregression-randomforest

This study aims to analyze the comparison of two methods in predicting the success of time deposit marketing campaigns, namely the Logistic Regression and Random Forest classification methods to determine which classification method has the best performance.

predicting-the-magnitude-and-location-of-earthquakes-in-indonesia

The purpose of this study is to predict the strength and locations of earthquakes in Indonesia in the coming years and to determine the maximum earthquake strength that will occur in 2024 using Prophet Forecasting model.

sentiment-analysis-ikn-using-svm-qe

This project aims to analyze the sentiment about IKN (Ibu Kota Negara), the New National Capital in Indonesia. Data is obtained through crawling Twitter data related to IKN discussion topics. Furthermore, the data is analyzed using the SVM classification method by combining it with the Query Expansion technique to produce better model performance.

syenirasheila

volunterpembuatanaplikasi

Repository ini merupakan salah satu studi kasus dari kelas Belajar Dasar Git dengan GitHub.