Mellisa Damayanti
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Bisindo Gesture Recognation
Bisindo Gesture Recognation

This project is part of the Bangkit Academy 2024 Capstone Project. It aims to develop a dataset of 33 classes (alphabets and 7 commonly used words) and compares the performance of GRU, LSTM, and Conv-LSTM models for BISINDO sign language gesture recognition.

Deep LearningPythonTensorflowMediapipeOpenCV

Plant Leaf Disease Image Classification

This project is part of the final submission for the 'Belajar Pengembangan Machine Learning' course on Dicoding. The goal of this project is to classify plant leaf diseases using image classification techniques based on deep learning.

PythonTensorflowKeras

Bike Sharing Analysis
Bike Sharing Analysis

This project is the final submission for the 'Belajar Analisis Data dengan Python' class on Dicoding. It focuses on analyzing Bike Sharing Orders data and developing an interactive dashboard to visualize key insights.

Exploratory Data AnalysisData VisualizationDashboardPythonStreamlit

Drought Forecasting
Drought Forecasting

This undergraduate thesis project focused on developing two drought forecasting models based on the Long Short-Term Memory (LSTM) architecture, utilizing SPI and SPEI as main drought indicators.

PythonLSTMForecastingClimate Data

ML Ops Development

This project is part of the final submission for the Machine Learning Operations (MLOps) course on Dicoding. The main objective of this project is to build a simple machine learning pipeline using TensorFlow Extended (TFX) with cloud-based computing.

PythonTFX-PipelineRailway

Analytics of Educational Institution Problems

This project is part of the final submission for the 'Belajar Penerapan Data Science' course on Dicoding. The main objective of this project is to identify, analyze, and visualize the key factors contributing to high dropout rates in educational institutions.

PythonSklearnMetabaseStreamlit

Analytics of Human Resource Problems

This project is part of the initial submission for the 'Belajar Penerapan Data Science' course on Dicoding. The main objective of this project is to identify, analyze, and visualize the key factors contributing to high attrition rates within a company. In addition, the project aims to design a business dashboard to help the HR team effectively monitor key performance indicators.

PythonSklearnMetabase

Cellphones System Recommendation

This project is part of the final submission for the 'Machine Learning Terapan' course on Dicoding. The main objective is to build a mobile phone recommendation system based on device specifications and user interactions. The model aims to provide the top 5 phone recommendations tailored to each user's preferences. The main approaches used in this project include Content-Based Filtering and Collaborative Filtering.

PythonTensorflowSystem Recommendation

Air Quality Predictive Analysis

This project is part of the initial submission for the 'Machine Learning Terapan' course on Dicoding. The objective of this project is to predict air quality by applying time series forecasting techniques to estimate PM2.5 levels using a deep learning approach.

PythonTensorflowForecasting

Tokopedia Sentiment Analysis

This project is part of the first submission for the 'Belajar Pengembangan Machine Learning' course on Dicoding. In this project, I conducted sentiment analysis on the Tokopedia app using review data collected from the Google Play Store

PythonNLTKSastrawiGoogle Play Scraper

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