hyper-parameter-tuning · GitHub Topics

#计算机科学#DataFrame support for scikit-learn.

Python 数据科学机器学习 model-selection hyper-parameter-tuning cross-validation pandas-dataframe

Python 62

1 年前

sharmaroshan / Big-Mart-Sales-Prediction

#计算机科学#Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

数据科学 beginner eda 数据分析数据可视化 data-cleaning modelling evaluation-metrics cross-validation hyper-parameter-tuning 机器学习

Jupyter Notebook 31

6 年前

timzatko / Sklearn-Nature-Inspired-Algorithms

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

Python 数据科学 hyper-parameter-optimization hyper-parameter-tuning scikit-learn

Python 28

1 年前

sharmaroshan / Online-Shoppers-Purchasing-Intention

#计算机科学#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 di...

机器学习数据可视化数据分析 hyper-parameter-tuning support-vector-machines cross-validation eda 教程 pca cluster

Jupyter Notebook 16

6 年前

sharmaroshan / Cervical-Cancer-Prediction

#计算机科学#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.

health cancer 机器学习 classification 数据分析数据可视化 eda evaluation-metrics hyper-parameter-tuning modelling heatmap

Jupyter Notebook 10

6 年前

sharmaroshan / Breast-Cancer-Wisconsin

#计算机科学#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 Su...

health cancer 机器学习 classification heatmap feature-extraction 数据分析数据可视化 eda beginner evaluation-metrics hyper-parameter-tuning

Jupyter Notebook 8

6 年前

sharmaroshan / Employee-Reviews

#自然语言处理#This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.

eda 自然语言处理机器学习 bag-of-words feature-extraction classification 数据科学 modelling evaluation-metrics hyper-parameter-tuning

Jupyter Notebook 8

6 年前

cebes / hyper-optimizer

#计算机科学#Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt

hyper-parameter-optimization hyper-parameter-tuning bayesian-optimization 机器学习 Python

Jupyter Notebook 6

8 年前

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

#计算机科学#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: Hy...

andrew-ng andrew-ng-course convolutional-neural-networks Coursera coursera-assignment coursera-machine-learning 深度学习深度神经网络 hyper-parameter-tuning model 神经网络 recurrent-neural-networks sequence

Jupyter Notebook 4

2 年前

thieu1995 / mealpy-text-classification

#计算机科学#Text classification with Machine Learning and Mealpy

cnn convolutional-neural-networks 深度学习 genetic-algorithm gru hyper-parameter-tuning lstm 机器学习 naive-bayes-classifier 神经网络 random-forest

Python 4

2 年前

thieu1995 / mealpy-timeseries

#计算机科学#Hyper-parameter tuning of Time series forecasting models with Mealpy

genetic-algorithm hyper-parameter-tuning 机器学习 mlp 神经网络 time-series-forecasting

Python 4

2 年前

thieu1995 / mealpy-classification

Hyper-parameter tuning of classification model with Mealpy

classification-model cnn-classification genetic-algorithm hyper-parameter-tuning mlp particle-swarm-optimization svm

Python 4

2 年前

SankethNagarajan / tracta_ml

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

hyper-parameter-optimization hyper-parameter-tuning feature-selection model-selection

Python 4

7 年前

e-baumer / pos

A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle

optimization hyper-parameter-tuning hyper-parameter-optimization particle-swarm-optimization

Python 3

2 年前

bettercallshao / sklearn_surrogatesearchcv

#计算机科学#Surrogate adaptive randomized search for hyper-parameters tuning in sklearn.

机器学习 Python scikit-learn cross-validation optimization hyper-parameter-tuning 数据科学

Python 2

5 年前

kyu999 / KMBBO

Efficient and Scalable Batch Bayesian Optimization Using K-Means

bayesian-optimization hyper-parameter-tuning batch sampling unsupervised-learning

Python 2

6 年前

vigneshprakash1997 / Online-Shoppers-Purchasing-Intention

#计算机科学#The data used in this analysis is an Online Shoppers Purchasing Intention data set provided on the UC Irvine’s Machine Learning Repository. The primary purpose of the data set is to predict the purcha...

机器学习数据科学 eda 数据可视化数据分析 hyper-parameter-tuning

Jupyter Notebook 1

4 年前