Thalibar Rifqi's Projects
For Algoritma's pre-interview assessment
Calculated metrics to mapping the client by city and location. See the most used ATM Type and client order by year.
A simple website using bootstrap framework, check the website @
Web and android based equipment damage reporting system, using mysql database. The system is running on a local network. The system was created for the New Yazaki System department, PT. Jatim Autocomp Indonesia, Indonesia. Project Description: https://youtu.be/7yprC7nK8ig ------Project Demo: https://youtu.be/tB5KBR-QnrI
In this project, I used convolutional neural network to identify digits from tens thousands of handwritten images.
Thanks to codebasic youtube channel https://www.youtube.com/c/codebasics for the AtliQ Hardware sales dataset. Here I tried to get insight from the sales dataset. Before that, I did some data cleaning and transformation before doing the visualization.
In this project we'll try to predict the probability of borrowers pay back the money to investor. I got this project while following lecture by Jose Portilla, from Pierian Data.
Download album artwok from your favorite spotify playlist using python, in this project I used the spotipy library to collect data from spotify and used urllib library to download the artwork.
This project is MFC based and using Tchart to draw the IMF and OMF
This is my project to pursue an applied bachelor's degree in computer engineering study program, PENS. Detail of the Project can be seen at https://www.youtube.com/watch?v=GnNAJxPSKqE
I try to predict the house based on some features data, XGBoost Regression and Neural Network are used in this project. In XGBoostV2 the hyper parameter tuning is used.
Using the AtliQ company's attendance dataset, we may learn about the employees' preferred work schedules (WFO vs. WFH) and the reasons of sick leave.
Image Filter from file and livecam
Using Firebase library, ApexChart, Material-UI, Material-UI/icon
Using NodeMCU, PIR, LDR and DHT11 sensor for the hardware used. Using Firebase Realtime Database, ReactJS, React Router, Material Ui for the software used
For this project we will attempt to use KMeans Clustering to cluster Universities into to two groups, Private and Public.
Build a model that can predict wether or nor a borrower will pay back their loan. Binary Classification is used for this model
In this project, I will try to cluster songs from Spotify playlists based on their song feature data. I use a playlist that Spotify created and in that playlist doesn't have a specific genre, I used the "Best of the decade for you" playlist. The KMeans clustering will be used as the machine learning algorithm, beacuse it is simple and easy to understand.
Just a Landing page
In this project (Kaggle competition), there are some model I used, you can check on the branches. The main goal is to predict the passengers of Titanic wether survived or not.
Miniletics Sales Dataset is analysis for Miniletics' sales dataset in Tokopedia and Shopee
My spotify wrapped 2021 used spotipy library to get data. I tried to compared my spotify wrapped with the one provided by Spotify.
Using natural language processing and then attempt to classify Yelp reviews into one star or five star categories based off of the text content in the reviews
I used TFIDF to find meaning of sentences consisting of words and cancels out the incapabilities of Bag of Words technique which is good for text classification or for helping a machine read words in numbers.
On May 29 we had the UEFA Champions League final between Real Madrid vs Liverpool. I use the keyword "UCL" to scrape about 10000 tweets from twitter, and then use it to see how twitter users think about it.
In this project, we used assimp library to import the 3D object from blender.
System Monitoring for FireFighter (GPS Tracker, Emergency, and Heart Rate)
A simple website using reactjs, check the website down below
Exploring sales data by product and by month
Shape detection and count them
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent