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Hi there 👋

  • 🔭 I’m Novita, a final year undergraduate student majoring in Data Science.

  • 🌱 I’m currently learning Python for data processing and data analyzing.

  • 📫 I'm an active Instagram user, find me there by @novitaangrn.

Novita Anggraini's Projects

21083010104 icon 21083010104

Kumpulan Tugas Sistem Operasi - Kelas A - Novita Anggraini - 21083010104

dataset icon dataset

The repository contains a collection of datasets for programming practice. Most of the datasets are sourced from various platforms such as Kaggle and others. The available datasets consist of supervised datasets or unlabeled numerical datasets.

dataset-sentimen-analisis-bahasa-indonesia icon dataset-sentimen-analisis-bahasa-indonesia

Repositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasikan pada artikel/paper ilmiah.

opencv icon opencv

Open Source Computer Vision Library

pibal icon pibal

This repository contains a wind data exploration dashboard that includes a data cleaning program. The dashboard provides visualizations of wind direction and speed patterns through interactive windrose charts. Additionally, it generates frequency tables and descriptive tables for further analysis.

pibal-heading icon pibal-heading

This repository contains a Python script that generates an output based on the current date and time. The script utilizes the datetime module to determine the date and hour, and then constructs a specific output format accordingly. The generated output follows a predefined pattern and includes values such as UPID, PPAA, UGID, and PPBB.

tomolda icon tomolda

Projek ‘Klasifikasi Teks dalam NLP untuk Mendeteksi Topik Berita Berbasis Teks’ dibuat untuk mendapatkan sebaran topik dari dokumen-dokumen yang ada dalam sebuah korpus. Data yang diambil berupa berita berbasis teks yang bisa didapatkan melalui proses scraping web secara real-time, atau bisa juga dengan mengunggah dataset lokal di menu yang telah disediakan. Kemudian dataset yang telah didapatkan diproses dengan menggunakan LDA (Latent Dirichlet Allocation). Metode LDA ini memudahkan dalam mencari atau memunculkan topik-topik tersembunyi saat melakukan pemrosesan serta dapat mendeteksi seberapa proporsionalnya kemunculan sebuah topik-topik tertentu.

validator icon validator

This repository contains a simple website built using the Python programming language. The website is designed to validate the correctness of synoptic code writing according to international code writing rules. It incorporates 50+ functions to recognize the codes for each code segment and accurately determine their positions.

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