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  • Greater Jakarta, Indonesia

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devildances/README.md

Welcome to my github account, fellas!! 😄

indonesia

devildances

📫 you can contact me at

Languages and Tools:

Visual Studio Code

anaconda

PyCharm

jupyter

watson

gcp

git

tableau

powerbi

mysql

mssql

mongodb

sharepoint

flask

bootstrap



python json html css js pandas numpy scipy matplotlib seaborn folium sklearn tensorflow keras


devildances
devildances

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  1. DataScience_in_small_notes DataScience_in_small_notes Public

    Some little notes from the author for everyone who wants to know or learn about the process that a data scientist must do from the beginning of data collection to making predictions with a model th…

    Jupyter Notebook 9

  2. TwitterSentimentAnalysis TwitterSentimentAnalysis Public

    Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positiv…

    Jupyter Notebook 21 5

  3. NaturalScenesImageClassification NaturalScenesImageClassification Public

    Image classification is still one of the interesting challenges for many data science practitioners today. In this project, I created several models to classify scene images where the models develo…

    Jupyter Notebook 1

  4. FaceExpressionDetection FaceExpressionDetection Public

    In this project I created a classification model using Convolutional Neural Networks (CNN) which will classify facial expressions based on the 7 categories that have been mapped for each image. All…

    Jupyter Notebook

  5. RecommenderSystem_Project RecommenderSystem_Project Public

    A simple project to provide recommendations for types of food & beverages that are suitable for users who want to start a culinary business in certain areas in Jakarta, Indonesia.

    Jupyter Notebook 1

  6. NLP_AutoCompletionText NLP_AutoCompletionText Public

    The autocomplete system model for Indonesian was built using the perplexity score approach and n-grams count probability in determining the next word.

    Jupyter Notebook