Topic: randomsearch-cv Goto Github
Some thing interesting about randomsearch-cv
Some thing interesting about randomsearch-cv
randomsearch-cv,This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost
User: akshayratnawat
randomsearch-cv,Classification model to predict the probability that a customer defaults based on their monthly customer statements using the data provided by American Express.
User: awinml
randomsearch-cv,Developed a predictive model for heart disease using Decision Tree Algorithm to provide early diagnosis, performed Exploratory Data Analysis to find out the exact affecting symptom , visualized the data set using Matplolib, seaborn libraries For improving performance of Decision tree model, Got the accuracy of 84.6% by performing depth up to 15
User: bodakalyansingh
randomsearch-cv,End to End Machine Learning Projects Examples
User: burakmarangoz
randomsearch-cv, Hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned. Hyperparameters are crucial as they control the overall behavior of a machine learning model. The ultimate goal is to find an optimal combination of hyperparameters that minimizes a predefined loss function to give better results.
User: chandradithya8
randomsearch-cv,List of completed academic projects
User: chin-ds
randomsearch-cv,Algorithms used to confirm whether a celestial body is a planet or not.
User: crdk1009
randomsearch-cv,Exploratory data analysis exercises to understand the main characteristics of a given data set before performing more advanced analysis or further modeling
User: doriandraper
Home Page: https://www.kaggle.com/competitions/titanic
randomsearch-cv,We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
User: gulabpatel
randomsearch-cv,GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model
User: hohasby
randomsearch-cv,This is an End-to-End Data Science Project built in order to help an International E-commerce Company to predict whether their product will be delivered on the committed Delivery Time or not
User: jayds22
randomsearch-cv,RandomSearch CV vs Grid Search
User: lokeshrathi
randomsearch-cv,Exploratory data analysis and machine learning classification models to predict employee attrition.
User: luuisotorres
Home Page: https://www.kaggle.com/code/lusfernandotorres/eda-and-employee-attrition-prediction/notebook
randomsearch-cv,Predict precipitation to mitigate flood damage in Bangladesh
User: mihorosenberg
Home Page: https://bangladesh-flood-guard-k65x4wbqyaykvbgf8jyunl.streamlit.app/
randomsearch-cv,Analyzing a dataset of bank transactions and using gradient boosting classifier to capture as many fraudulent transactions as possible while minimizing false positives.
User: mycanaless
randomsearch-cv,The business objective was to predict the present the price of the car Year,based on features such as selling price, present price, kilometers driven, fuel type, seller type, transmission, owner.
User: naveen-gowda-2525
randomsearch-cv,Credit score prediction using classification models (Multi-class prediction)
User: ongaunjie1
Home Page: https://credit-score-prediction.streamlit.app/
randomsearch-cv,A simple random forest model to predict car prices. The purpose of this repo was to showcase the use of flask for deployment.
User: praatibhsurana
randomsearch-cv,Building a plagiarism detector that examines a text file and performs binary classification labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text.
User: prajwal-rp
randomsearch-cv,This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.
User: preetirai-tech
randomsearch-cv,Use of Gradient Boosting Descision Trees for a Classification Problem
User: ranaprince
randomsearch-cv,Enhancing The Performance Of Classifiers In Detecting Abnormalities In Medical Data Using Nature Inspired Optimization Techniques
User: rupeshsure
randomsearch-cv,This repository has the implementation of hyperparameter tuning techniques (GridSearchCV and RandomSearchCV) on K-Nearest Neighbour (KNN) algorithm, from scratch.
User: sachelsout
randomsearch-cv,Implementation of Hyper-parameter tuning of ML models
User: shalakasaraogi
randomsearch-cv,Advanced ML Case Study where we use ML algorithms to detect malware from a given piece of software.
User: sukanyabag
Home Page: https://www.kaggle.com/c/malware-classification
randomsearch-cv,This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.
User: telrich
randomsearch-cv,Proyecto de Datacamp sobre predicción de dias en que un cliente alquilará un DVD basandose en algunas caracteristicas
User: vesnapivac
randomsearch-cv,machine learning regression
User: vicaaa12
randomsearch-cv,Machine Learning with Sklearn
User: yhunlu
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