Theofilus Arifin's repositories
House-Pricing-Prediction
Real Estate refers to tangible properties such as land, buildings, or other structures, which can serve as investment assets or a source of income through rent or property sales. Machine Learning plays a crucial role in the real estate industry by predicting property prices based on factors such as location, size, amenities, and property condition.
Analyzing-eCommerce-Business-Performance-with-SQL
In any company, measuring business performance is crucial for tracking, monitoring, and evaluating the success or failure of various business processes. Therefore, this project aims to analyze the business performance of an eCommerce company, considering several business metrics: customer growth, product quality, and payment types.
Predicting-German-Credit-Risk-with-PyTorch
This project focuses on predicting credit risk using deep learning techniques implemented with PyTorch. We leverage the German Credit Risk Dataset, which contains various attributes representing the credit profiles of individuals. Our goal is to build a robust predictive model that can assess the creditworthiness of applicants.
FIFA21-Valuable-Player-Prediction
This project aims to predict valuable players in FIFA21 using machine learning techniques. In the world of professional soccer, identifying valuable players is crucial for clubs in building successful teams and making strategic decisions in player recruitment and management.
Youtube-Views-Pediction
The YouTube View Prediction Project aims to develop a machine learning model capable of forecasting the potential number of views a video might receive on the YouTube platform, by leveraging various factors such as title, likes, comments, description, and other relevant elements.
Airline-Customer-Segmentation
Conducted univariate and multivariate analyses on a dataset of 62,989 rows and 23 columns. Segmented using the RFM method and K-means clustering, revealing two groups via elbow method determination.
Time-Series-Forecasting-of-Vehicle-Speed-on-Roadway
This project explores data analysis and time series forecasting to understand average vehicle speed on a roadway, crucial for traffic management and congestion reduction.
Exclusive-Product-Classification
In today's competitive market, understanding what makes a product exclusive can provide valuable insights for businesses. This project aims to develop a classification model to categorize products as exclusive or non-exclusive based on various attributes.
EmoTweetAI-Classifying-Emotions-in-Tweets
EmoTweetAI is a sentiment analysis system designed to classify emotions in Twitter uploads. It categorizes tweets into positive, negative, or neutral sentiments, providing valuable insights into public opinion on various matters.
Aksara-Document-Transliteration-Using-Object-Detection-and-Automata
Explore Aksara Jawa effortlessly with YOLOv8 and Finite State Automata-powered Transliteration that i developed. Achieving high metrics (Train: 0.967/0.922/0.961, Validation: 0.966/0.924/0.961), our Streamlit interface ensures easy input and accurate output. Unlock precision and simplicity in Aksara Jawa to Latin conversion.
Insurance-Cross-Selling-Prediction
Health Insurance Cross Sell Prediction project, led by Team Data 200 from Rakamin Academy, aimed to develop a classification model predicting health insurance policyholders' interest in vehicle insurance using demographic and behavioral data.
Project_ISA
Penetration Testing Project This is a website that me and my friend created for Information and Security Assurance final exam. We intentionally make this website full of vulnerability so we can perform penetration testing easily. We used some tools for penetration testing.
dmd
"Daily Meme Digest" is a provider of daily intake of meme stock. Users can view memes created by other users and interact by giving likes and comments. This application can also create new memes with the templates provided.
Zerenity
Project UAS IIR