You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project focuses on predicting stock prices using a univariate linear regression algorithm, built entirely from scratch without the use of any machine learning libraries such as Scikit-learn or TensorFlow.
In the real estate industry, the determination of rental prices plays a critical role in shaping the interactions between property owners, tenants, and property management companies. The ever-changing nature of the real estate market necessitates a dynamic and data-driven approach to set competitive and fair rental prices.
The Used Car Price Prediction project aims to develop a robust data science solution for accurately predicting used car prices. Leveraging a diverse dataset encompassing essential features like car model, number of owners, age, mileage, fuel type, kilometers driven, additional features, and location, this project aspires to build a powerful machine
The Food Price Estimation project focuses on providing estimates of food prices to capture local price fluctuations in regions where people are vulnerable to localized price surges. The project utilizes a machine-learning algorithm designed to predict ongoing subnational price surveys, demonstrating accuracy comparable to direct price measurements.
A dataset containing 1300 Iranian IT job advertisements in English from August 2019 to January 2021 and collected by using a new crowdsourcing-based dataset gathering process.
Malware detection project by Machine Learning Algorithms. Top class BE second year project of EnTC students . It detects and tells the accuracy through Machine Learning Algorithms.
The "Industrial Copper Modeling" project is designed to enhance your proficiency in data analysis and machine learning, focusing on the challenges posed by complex sales and pricing data in the copper industry. This hands-on project employs advanced machine learning techniques to provide solutions, offering regression models for precise pricing pre
Submission Dicoding Indonesia - Image Classification using TensorFlow (Kelas Belajar Machine Learning untuk Pemula). Proyek Klasifikasi Gambar Rock, Paper and Scissors.
Contributed to the improvement of risk management practices in the lending industry. Led to more responsible lending practices and reduced financial risks