Topic: grid-search Goto Github
Some thing interesting about grid-search
Some thing interesting about grid-search
grid-search,This project involves ETL and a Machine Learning Pipeline implementation that classifies tweets to assist people with a disaster emergency response using a Flask Web App.
User: abg3
grid-search,Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.
User: aishwaryakkumar
grid-search,In this project, I used various Machine learning Alogithm(K Nearest Neighbors, Support Vector Machine, Logistic Regression, Decision Tree, Multi Layer Perceptron Neural Network, Random Forest) to implement Smart waste management system
User: anantha-padmanaban
grid-search,Predicting functionality of groundwater pumps throughout Tanzania.
User: andrew-carl
grid-search,To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
User: architectshwet
grid-search, Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel groupβs actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.
User: asaficontact
grid-search,Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.
User: bhavinidata
grid-search,playing with Dwork's adaptive holdout and how to use it for a grid-search
User: bmcmenamin
grid-search,Machine learning toolkits with Python
User: buomsoo-kim
grid-search,(Deprecated) Scikit-learn integration package for Apache Spark
Organization: databricks
grid-search,Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.
User: davidcico
grid-search,python experiment management toolset
User: davidenunes
grid-search,Different hyperparameter optimization methods to get best performance for your Machine Learning Models
User: davisy
grid-search, We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.
Organization: develop-packt
grid-search,Learn to use Support Vector Machines in Python(sklearn) and R
User: devssh
grid-search,Udacity Machine Learning Course Predicting Boston Housing Prices
User: dumebi
grid-search,Spark Parameter Optimization and Tuning
Organization: eharmony
grid-search,Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .
User: enricoschumann
Home Page: http://enricoschumann.net/NMOF
grid-search,All codes, both created and optimized for best results from the SuperDataScience Course
User: farhanchoudhary
grid-search,Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
User: franneck94
grid-search,Hyperparameter tuning for machine learning models using a distributed genetic algorithm
User: gmontamat
grid-search,Hyperparameters-Optimization
User: hyeonsangjeon
grid-search,Implementation of solar irradiance prediction model with grid-search optimization
User: jddeguia
grid-search,Bayesian Optimization and Grid Search for xgboost/lightgbm
User: jia-zhuang
grid-search,Hyperparameter optimization algorithms for use in the MLJ machine learning framework
Organization: juliaai
grid-search,Given a 2d grid with coins, it finds path to collect most possible coins
User: konstantinastoikou
grid-search,real-time grid search engine
User: kunbetter
grid-search,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
grid-search,With some projects to develop "TOOLs" for better Modeling
User: mainkoon81
grid-search,Codes and images used in post at Towards Data Science: https://towardsdatascience.com/grid-search-in-python-from-scratch-hyperparameter-tuning-3cca8443727b
User: marcosdelcueto
grid-search,Case Studies for using Accera - the open source cross-platform compiler from Microsoft Research - to create high performance deep learning computations (i.e. GEMM, Convolution, etc.)
User: marina-neseem
grid-search,A small, simple node module that can be used to generate an array of parameters to use during a machine learning grid search
User: nas5w
grid-search,A library for creating and curating reproducible pipelines for scientific and industrial machine learning
Organization: neuro-ml
Home Page: http://reskit.readthedocs.io/en/0.1.x/
grid-search,Build a Machine learning model to direct customers to subscribe product through a app behavior analysis
User: paritoshyadav
grid-search,Lifelong Planning version of LIAN algorithm
Organization: pathplanning
grid-search,OSCAR: configure and debug variational quantum algorithms efficiently
Organization: quest-uwmadison
Home Page: https://arxiv.org/abs/2308.03213
grid-search,Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
User: romainkp
grid-search,This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.
User: sadmansakib93
grid-search,Customer churn analysis for a telecommunication company
User: saeidrostami
grid-search,Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.
User: sandipanpaul21
grid-search,Evaluating candidate exoplanets using machine learning algorithms.
User: selgho23
grid-search,Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
User: sourcecode369
Home Page: https://github.com/sourcecode369/ml-algorithms-on-scikit-and-keras
grid-search,Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
User: sushantdhumak
grid-search,Cross-validation in Julia
User: triepels
grid-search,Python library to easily log experiments and parallelize hyperparameter search for neural networks
User: williamfalcon
grid-search,Files for compiling my presentation about H2O.ai.
User: williamrappel98
grid-search,Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Organization: wlogsolutions
grid-search,MNIST, SVHN, Transfered Learning, DNN, CNN
User: yh1008
grid-search,an R package implementing the grid search optimization algorithm with a zoom
User: yukai-yang
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