GitHub topics: hyper-parameter-tuning

Repositories

BCG-X-Official/sklearndf

DataFrame support for scikit-learn.

Language: Python - Size: 15.3 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 7

thieu1995/mealpy-timeseries

Hyper-parameter tuning of Time series forecasting models with Mealpy

Language: Python - Size: 15.6 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

bettercallshao/sklearn_surrogatesearchcv

Surrogate adaptive randomized search for hyper-parameters tuning in sklearn.

Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

thieu1995/mealpy-classification

Hyper-parameter tuning of classification model with Mealpy

Language: Python - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

Chandrahasd/exp_manager

A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).

Language: Python - Size: 18.6 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

timzatko/Sklearn-Nature-Inspired-Algorithms

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

Language: Python - Size: 475 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 28 - Forks: 9

thieu1995/mealpy-text-classification

Text classification with Machine Learning and Mealpy

Language: Python - Size: 1.66 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

itahirmasood/coursera-deep-learning-specialization-by-deeplearning-ai

Graded assignments of all the courses that are being offered in Coursera Deep Learning Specialization by DeepLearning.AI. (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network (v) Squence Model

Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1

sharmaroshan/Online-Shoppers-Purchasing-Intention

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 13 - Forks: 11

sharmaroshan/Cervical-Cancer-Prediction

In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms for Classifications, Visualizations and Analysis.

Language: Jupyter Notebook - Size: 543 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 9 - Forks: 3

sharmaroshan/Employee-Reviews

This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 3

sharmaroshan/Breast-Cancer-Wisconsin

This is Data set to Classify the Benign and Malignant cells in the given data set using the description about the cells in the form of columnar attributes. There are Visualizations and Analysis for Support.

Language: Jupyter Notebook - Size: 86.9 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 4

sharmaroshan/Big-Mart-Sales-Prediction

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

Language: Jupyter Notebook - Size: 648 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 27 - Forks: 10

kyu999/KMBBO

Efficient and Scalable Batch Bayesian Optimization Using K-Means

Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

imranzaheer612/flight-fare-prediction-regression

Flight fare perdicting model

Language: Jupyter Notebook - Size: 576 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Jooong/optuna-worker

CLI to create and optimize optuna study without explicit objective function

Language: Python - Size: 18.6 KB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Naveen-Karanamu/Used-Cars-Price-Prediction

The used cars price is predicted using various features - Decision Tree & Random Forest

Language: Jupyter Notebook - Size: 464 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

cebes/hyper-optimizer

Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 6 - Forks: 0

SankethNagarajan/tracta_ml

Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms

Language: Python - Size: 32.2 KB - Last synced at: 11 days ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

Rathore25/CNN

Visualized the activations of hidden layers, analyzed feature invariance due to different image alterations and the effects of change in filter-sizes and strides

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0