parameter-tuning

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

(Deprecated) Scikit-learn integration package for Apache Spark

LAMA - automatic model creation framework

Automated modeling and machine learning framework FEDOT

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Hyperparameter optimization in Julia.

Workflow engine for exploration of simulation models using high throughput computing

⚡ Fast Concurrent / Parallel Sorting in Go

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

Purely functional genetic algorithms for multi-objective optimisation

An abstraction layer for parameter tuning

A Python Toolkit for Managing a Large Number of Experiments

Machine Learning Project using Kaggle dataset

Trying PostgreSQL parameter tuning using machine learning.

Algorithm Configuration Visualizations for irace!

Swarming behaviour is based on aggregation of simple drones exhibiting basic instinctive reactions to stimuli. However, to achieve overall balanced/interesting behaviour the relative importance of these instincts, as well their internal parameters, must be tuned. In this project, you will learn how to apply Genetic Programming as means of such t…

a library to tune xgboost models

Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.

It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achi…