Topic: recursive-feature-elimination Goto Github
Some thing interesting about recursive-feature-elimination
Some thing interesting about recursive-feature-elimination
recursive-feature-elimination,Classification model that can predict whether a tumor is Benign or Malignant.
User: akashsdas
recursive-feature-elimination,A Jupyter Notebook with the analysis and prediction of Final Grades (Pass/Fail) for students of mechatronics engineering in several mechanic courses.
User: alejo1630
recursive-feature-elimination,
User: arun-v-s
recursive-feature-elimination,Bike Sharing in Washington D.C.
User: ashomah
recursive-feature-elimination,HR Analytics Dataset
User: ashomah
recursive-feature-elimination,King County House Sales
User: ashomah
recursive-feature-elimination,Understanding and predicting the factors leading to employees leaving and finding relations between them. Also finding the importance of a feature according to ML models.
User: bhavishyasharma10
recursive-feature-elimination,To model the demand for shared bikes with the available independent variables
User: chinmayeeguru
recursive-feature-elimination,using Drebin dataset to distinguish between malwares and not malwares
User: elsheikh21
recursive-feature-elimination,Logistic regression model build on lead score data to score leads on the basis of their probability of conversion.
User: garimagupta123
recursive-feature-elimination,This project predicts customer churn using machine learning. It involves data cleaning, EDA, feature engineering, and model evaluation. AdaBoostClassifier with SMOTE was optimized using GridSearchCV and validated with ROC analysis.
User: haripprasath-m
recursive-feature-elimination,Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast daily store visits, achieving a MAPE of 13.3%, enabling strategic retail location decisions
User: harshraj1301
Home Page: https://harshrajjadeja13.wixsite.com/hjadeja/projects/meijer---real-estate-predictive-model
recursive-feature-elimination,Unlocking Insights and Accurate Price Predictions for Uber Rides through Extensive Data Analysis.
User: heet-shahh
recursive-feature-elimination,Acute Myeloid Leukemia Risk Group Prediction from Gene Expression Data with Feed-Forward Neural Networks
User: helijulia
recursive-feature-elimination, This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
User: imharshag
recursive-feature-elimination,Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
Organization: ing-bank
Home Page: https://ing-bank.github.io/probatus
recursive-feature-elimination,Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)
User: jacobstac
recursive-feature-elimination,Predicting survival of passengers for titanic dataset using RF and a NN
User: joeycheung
recursive-feature-elimination,Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.
User: kaur-anupreet
recursive-feature-elimination,This project was done in the 4th semester of Btech data science. Took an online dataset about cars. Understood, cleaned, visualized and prepared our data for building a regression model. Using Recursive feature elimination and Backward selection as a method of feature selection we built a final model. Then tested the assumptions that we made about the data before we started building the model. Lastly predicted the car prices and evaluated our model based on its performance in both in and out sample testing. This was done using Python.
User: khyaatinayak
recursive-feature-elimination,I showcase that I have broad set of skills regarding machine learning algorithms since I use Logistic Regression, XGBoost and Neural Networks in this project. Especially that I have a good understanding regarding neural networks and the Keras library.
User: lennartwallentin
recursive-feature-elimination,The main objectives of this project are Stacked Generalization (Stacking) and comparing models with ANOVA tests. To do that I classify if a person flying with an unnamed north american airline company is satisfied or neutral/dissatisfied with their flight.
User: lennartwallentin
recursive-feature-elimination,本项目是论文《CAT-RFE:点击欺诈的集成检测框架》的实验代码。
User: lyx199504
recursive-feature-elimination,The research aims to harness machine learning for predicting cardiovascular diseases based on numerous risk factors, addressing the high fatality rates associated with cardiovascular conditions.
User: martinktay
recursive-feature-elimination,This repository contains the notebook used for the Spring 2021 Kaggle Dengue Fever Prediction Competition. Placement was in the top 10% with a MAE of 24.86. Our best approach involved Random Forest Regression on a reduced featureset selected with Recursive Feature Elimination in combination with correlation with the target (number of dengue cases).
User: matthewcsc
recursive-feature-elimination,Feature selection package of the mlr3 ecosystem.
Organization: mlr-org
Home Page: https://mlr3fselect.mlr-org.com/
recursive-feature-elimination,Case Study for Churn Modelling in a NGO
User: mohan-aditya05
recursive-feature-elimination,
User: mohan-aditya05
recursive-feature-elimination,
User: monirzaman
recursive-feature-elimination,Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.
User: mosama1994
recursive-feature-elimination,Predict the attrition (Yes/No) of employees, identify factors significantly impacting it, and finally state recommendations on how to mitigate the attrition.
User: now-youre-gittin-it
recursive-feature-elimination,CSCI 54900 INTELLIGENT SYSTEMS PROJECT
User: premchand95
recursive-feature-elimination,Through this research, we are able to model a student’s final grade in a particular subject and link it directly to certain relevant features that influence the outcome. We use the C5.0 decision tree technique to model the data.
User: raghavm23
recursive-feature-elimination,
User: ravikanthch
recursive-feature-elimination,Forecast stocks using machine learning algorithms. This is the final project for Data Science 3580.
User: red-dragon65
recursive-feature-elimination,Delved into advanced techniques to enhance ML performance during the uOttawa 2023 ML course. This repository offers Python implementations of Naïve Bayes (NB) and K-Nearest Neighbor (KNN) classifiers on the MCS dataset.
User: rimtouny
recursive-feature-elimination,Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
User: roshansridhar
recursive-feature-elimination,Fall 2020 - Computational Medicine - course project
User: ryanquinnnelson
recursive-feature-elimination,Fall 2020 - Computational Medicine - course project
User: ryanquinnnelson
recursive-feature-elimination,A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts. They have contracted an automobile consulting company to understand the factors on which the pricing of cars depends. Specifically, they want to understand the factors affecting the pricing of cars in the American market, since those may be very different from the Chinese market. The company wants to know: Which variables are significant in predicting the price of a car How well those variables describe the price of a car Based on various market surveys, the consulting firm has gathered a large dataset of different types of cars across the Americal market.
User: sakusuma
recursive-feature-elimination,First project implementing Logistic Regression
User: sharanya-hegde
recursive-feature-elimination,The goal of this project is to develop a predictive model that accurately detects failures in the Air Pressure System (APS) of heavy Scania trucks. The APS is responsible for generating pressurized air used in various functions of the truck, such as braking and gear changes. By detecting failures in the APS system.
User: shockwave07
recursive-feature-elimination,Linear Regression, how number of features affect outcome
User: sousablde
recursive-feature-elimination,Heart Attack Prediction by implementing Feature Selection such as SelectKBest & Recursive Feature Elimination
User: srinathmurali96
recursive-feature-elimination,Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
User: tejindersingh1
recursive-feature-elimination,Feature-Engg
User: vaitybharati
recursive-feature-elimination,A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
User: vikrantarora25
recursive-feature-elimination,The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).
User: vishal1999-33
recursive-feature-elimination,Extended cross validation, feature selection methods for imbalanced data analysis
User: weiwei1988
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