#Parameter-tuning
Showing 7 of 7 repositories tagged #parameter-tuning, ranked by stars
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
LAMA - automatic model creation framework
Automated modeling and machine learning framework FEDOT
A unified interface for optimization algorithms and experiments
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.