Movie Recommender
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Updated
May 27, 2024 - Jupyter Notebook
Movie Recommender
Product Recommender
The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.
Predicting Walmart Sales and Performing Exploratory Data Analysis
This Project will perform linear regression on Automobiles MPG
Compute a moving root mean squared error (RMSE) incrementally.
Compute the root mean squared error (RMSE) incrementally.
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
[DACON Competition] experience Jeju specialities
experience Jeju specialities
This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.
Optimizing lighting distribution across regions by adjusting lamp powers.
Python, K-fold, RMSE, Pearson
An R package to apply affine and similarity transformations on vector layers (sp objects)
The dataset comprises data obtained from the 1990 census conducted in the state of California.
Delve into the exciting world of Applied Machine Learning to deliver personalized anime recommendations! This project is designed to help anime enthusiasts discover new series tailored to their unique preferences, enhancing their viewing experience.
Trains, tunes, and evaluates different regression models to develop a time-efficient, high-quality model for predicting car prices based on RMSE and CPU runtime.
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