Faris Dzikrur Rahman's Projects
I tried to predict adult US income using Random Forest, Naive-Bayes, and K-Means algorithm, and compare all of them to get best accuracy
Notebook berisi analisa dan visualisasi untuk membantu analisa kejadian dalam pertandingan sepak bola
Memprediksi jenis bola menggunakan fastai
Tutorial dasar, menengah, dan lanjutan mengenai TensorFlow. Ditulis dalam Bahasa Indonesia. Diterjemahkan dari berbagai tutorial berbahasa inggris yang tersebar di belantara internet. (Dalam tahap pengerjaan)
The data is structured by each row containing one match, including match info, along with winning and losing playerβs statistics. The goal of this project is to explore how top tennis players group together based on their statistics, particularly in the matches that have best of 5 format, using Principle Component Analysis (PCA) and K-Means clustering analysis. In addition, I also explore how clusters of players differ by surface (hard, clay, and grass).
Melakukan Analisa Menggunakan R dan Algoritma ML Prophet
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
An End-to-End project for Prediction of Data Scientist's Salaries during COVID-19 (in the US)
Mendeteksi masker wajah menggunakan tensorflow beserta penggunaannya pada web cam
EjaArti is my writing pad to save all my random thought regarding the social condition in the world that we live on. Often times, I translate some articles that I find interesting, but sometimes I write my own piece based on the event that I want to delve deeper on. This blog is created using Hugo-Novela theme.
Creating face recognition web application using streamlit
Portfolio website to showcase all my data science work
Create Fishery Data Visualization using ggplot2
Ini adalah salah satu kompetisi yang diselenggarakan oleh Zindi, dimana disediakan dataset berupa kumpulan tweet dengan label "bertemakan Covid" dan "tidak bertemakan Covid". Tujuannya adalah membuat model yang dapat menentukan apakah tweet yang dibuat kemudian terklasifikasi sebagai tweet Covid ataukah tidak, meskipun tidak menyertakan kata Covid secara implisit. Setelah didapatkan model, kemudian dilakukan deployment ke dalam streamlit untuk dijadikan aplikasi mini yang mampu mendeteksi tweet seseorang.
Create machine learning web application to predict Penguin species using Streamlit
Predict whether the x-ray image of lungs classified as having pneumonia or not. Using simple CNN
Determine what kind of words are frequently used by social media users when discussing about poverty. And from those words, the sentiment analysis was created.
Memprediksi apakah individu rentan meninggal dunia terhadap penyakit Hepatitis. Setelah melakukan model, hasil pemodelan dan visualisasi akan disebarkan (deploy) ke dalam aplikasi berbasis Streamlit.
Aplikasi Web berbasis Streamlit untuk memprediksi Gaji Ilmuwan Data di Amerika Serikat selama masa pandemi Covid-19. Algoritma dalam pemodelan menggunakan Random Forest Classifier
Using Single Shot MultiBox Detector to Predict the Location of Rice Field in Banyuwangi Region
Build shiny dashboard from Global Mortality Data
Repo to store all my take on Shopee code league challenge 2020. I plan to join all of the competition available, so this repo will contain 8 different notebooks for each challenges.
Predict the ups and downs of Tesla stock price using LSTM algorithm
Create time series modelling using online ride sharing data in Turkey