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devildances
devildances

Dhika Rangga's Projects

datascience_in_small_notes icon datascience_in_small_notes

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 that has been built. These notes are based on the knowledge that the authors have learned and implemented. Enjoy it!

django-testing-deploy icon django-testing-deploy

This repo is used to deploy webapps using Django framework in pythonanywhere.com (testing only).

faceexpressiondetection icon faceexpressiondetection

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 data used in this project comes from Kaggle which can be seen in the READ.me section. All image data have sizes (x, y, 1) because the data provided is all in a greyscale format.

housepriceprediction icon housepriceprediction

This is a small project to test and implement Deep Neural Networks in solving a linear regression problem, which is to predict house prices based on the features provided. The data used in this project are all taken from the Kaggle website.

naturalscenesimageclassification icon naturalscenesimageclassification

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 development are done in 2 ways, building the model from scratch and using pre-trained models. The data obtained from Kaggle, where the data was initially published on https://datahack.analyticsvidhya.com by Intel to host a Image classification Challenge.

nlp_autocompletiontext icon nlp_autocompletiontext

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

recommendersystem_project icon recommendersystem_project

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.

twittersentimentanalysis_final_project icon twittersentimentanalysis_final_project

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 positive or negative meaning.

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