Topic: "hyper-parameter-tuning"
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
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
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
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
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
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
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
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
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
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: 12 days ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1
e-baumer/pos
A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle
Language: Python - Size: 43 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
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
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
Jooong/optuna-worker
CLI to create and optimize optuna study without explicit objective function
Language: Python - Size: 18.6 KB - Last synced at: 9 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
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
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
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
hssandriss/performance-predictor
Performance predictor with learning curves and meta-features
Language: Jupyter Notebook - Size: 616 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
dkatz23238/RandomForestAdaptiveExperim
Using Facebook Adaptive Experimentation platform to tune random forest regressors using docker
Language: Python - Size: 4.5 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
rhysstubbs/HPOExperimentResults
Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)
Language: MATLAB - Size: 61.6 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 1
