Detect exoplanets in stellar light flux data using machine learning models.
Background:
Astronomers collect data on stars' light intensity changes to identify exoplanets orbiting stars beyond our solar system.
Key Tasks:
● Data Exploration: Analyzed the data set's structure,and identified relevant attributes for prediction.
● Data Preprocessing:Preprocessed the data, handled missing values and outliers.
● Model Building: Developed predictive models (e.g., machine learning, statistical) for estimating impact likelihood.
● Model Optimization: Fine-tuned hyperparameters, preventing overfitting or underfitting.
● Validation and Testing: Validate model performance using appropriate techniques, tested on unseen data.
● Presentation: Prepared a compelling presentation summarizing the problem, data,approach, and results.