Ernitia Paramasari (eparamasari)

eparamasari

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Location:Indonesia

Twitter:@eparamasari

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Ernitia Paramasari's repositories

AutoML_vs_HyperDrive_Classification_Azure_ML

In this project, a binary classification model was trained to predict the event of heart failure. Two methods of training were done, Azure Automated ML and Hyperdrive run.

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AIWonderGirls-Climate-Change-Mitigation-Assistant

This Climate Change Mitigation Assistant created by the AI Wonder Girls helps users to answer climate change questions related to their industry

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animal-trading-card-basic-html-css

A basic HTML and CSS project for learning purposes

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co2-emissions-forecaster

This is a forecaster model for CO2 emissions

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Edinburgh_Urban_Farming_Clustering

In this project, clustering was performed on Edinburgh boroughs to find the most suitable location(s) for urban farming

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Exploring_US_bikeshare_data

This Python code explores US bike sharing data through an interactive text interface

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pixel-art-maker

A simple app to create pixel arts

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solar-vision

This is an app that shows people recommended members of a solar energy communityin the city they're in, number and locations for solar panels, initial investment, potential net savings, and carbon emissions reduction.

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gradio-app

This is a repository for a gradio app

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my-travel-plans

A simple app to keep track of destinations I'd like to visit.

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Operationalizing_Machine_Learning_in_Azure

In this project, an AutoML run was performed on a bank marketing dataset from the Azure ML Studio, which aimed to predict whether contacted customers would subscribe to the bank product offered

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Optimizing_a_Pipeline_in_Azure

In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run.

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personal-blog

This is my personal blog

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Segmenting-and-clustering-neighborhoods-in-Toronto

In this project we segment and cluster neighborhoods in Toronto

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solutions

The mission of Project Drawdown is to help the world reach “Drawdown”— the point in the future when levels of greenhouse gases in the atmosphere stop climbing and start to steadily decline, thereby stopping catastrophic climate change — as quickly, safely, and equitably as possible.

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temp-repo

This is a temporary repo

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test

A test repository

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TestRepository

This is a repository for testing purposes.

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the-energy-stone-python-text-based-game

This is a classic text-based python interactive game

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