Topic: label-encoding Goto Github
Some thing interesting about label-encoding
Some thing interesting about label-encoding
label-encoding,The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.
User: abinashsahoo007
label-encoding,the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.
User: areeba0
label-encoding,Project is about predicting Class Of Beans using Supervised Learning Models
User: bharatkulmani
label-encoding,This repository consists of various projects based on Machine Learning and NLP.
User: chiragn888
label-encoding,We build a chatbot by implementing machine learning and natural language processing.
User: copev313
label-encoding,[CIKM 2021] Code and dataset for "Label-informed Graph Structure Learning for Node Classification"
Organization: cripac-dig
label-encoding,This Repository Consists the exam Problems and solutions conducted on September - 2021
User: csengupta1101
label-encoding,This project provides the data based on classification to check if the patient is covid +ve or -ve.
User: damaniayesh
label-encoding,Building predictive models to detect and prevent the fraudulent transactions happening on cerdit cards and debit cards. Implementation of 2nd factor authentication for safe and secure transactions.
User: deepakrameshgowda
label-encoding,Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.
User: emamulhossen
Home Page: https://github.com/EmamulHossen
label-encoding,Repo houses the predictive NN model and its associated .py modules
Organization: ft-airbnb-price-01
label-encoding,This repository contains Machine Learning Classification algorithms implementation
User: gopika-s-nair
label-encoding,Diamonds Price prediction using Polars and Ski-learn
User: himanshuachwaan
label-encoding, This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
User: imharshag
label-encoding,
User: ishikaaa
label-encoding,Analytical understanding and applying parameter optimization, regression with gradient descent to predict water quality levels across Indian waters.
User: katreparitosh
Home Page: https://github.com/katreparitosh/Water-Quality-Analysis
label-encoding,πΆIn this repository, we will do feature engineering with Python.
User: m-enesyilmaz
label-encoding,This is a Kaggle task inspired notebook: exploring correlation + bonus trying ppscore package
User: macarenasev
label-encoding,This is an implementation for a DataCamp project: A Visual History of Nobel Prize Laureates. We try to answer the proposed questions and visualize the results.
User: maggieezzat
Home Page: https://www.datacamp.com/projects/441
label-encoding,To implement the internal workings of perceptron and testing the accuracy of in train and test dataset.
User: manjari-99
label-encoding,Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
User: mithulmanoj
label-encoding,Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
User: moindalvs
label-encoding,This classification task is specifically dependent on a video dataset that includes video clips of kill and death scenes from the first-person shooting game βCS Goβ. I have used the ResNet-50 model for image classification and then turn it into a more accurate video classifier by employing the rolling averaging method.
User: mzayed47
label-encoding,Ordinal Encoding - Label Encoding
User: nani757
label-encoding,Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
User: navindafernando
label-encoding,Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.
User: ninad077
label-encoding,Supervised Machine Learning methods (Random Forest and SGD Classifier) to classify short conversations extracted from Reddit
User: nirmalkanagasabai
label-encoding,There are lot of things that need to be done on the given dataset before we feed it to the machine, these things come under data preprocessing. In this repository I have tried to explain those things with some examples.
User: prasadposture
label-encoding,A project based on Mercedes Benz test bench data for vehicles at the testing and quality assurance phase. Data consists of high number of feature columns. Key highlights from the project include - Dimensionality reduction using PCA and XGBoost Regression used after the dimensionality reduction to predict the time required to test the vehicles.
User: ransomk
label-encoding,Unofficial but extremely useful Label and One Hot encoders.
User: razhoshia
label-encoding,The primary goal of this project is to convert free users of a financial tracking app into paid members. This conversion will be achieved by building a model that identifies users who are unlikely to enroll in the paid version of the app.
User: reates
label-encoding,Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.
User: rimtouny
label-encoding,In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.
User: s-chan11
label-encoding,WiDS Datathon 2020 on patient health through data from MITβs GOSSIS (Global Open Source Severity of Illness Score) initiative.
User: saminens
label-encoding,Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.
User: sannketnikam
Home Page: https://credito.pythonanywhere.com
label-encoding,INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
User: sauhard2701
label-encoding,This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).
User: sayo2rule
label-encoding,Database management and data analytics from a car-sharing dataset. The dataset contains information about the customers' demand rate between January 2017 and August 2018.
User: sayo2rule
label-encoding,Use decision trees to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
User: shanuhalli
label-encoding,This sentiment analysis model utilizes a Transformer architecture to classify text sentiment into positive, negative, or neutral categories with high accuracy. It preprocesses text data, trains the model on the IMDB dataset, and effectively predicts sentiment based on user input.
User: shikhararyan
label-encoding,This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.
User: sorodocosmin
label-encoding,This repository contains all the resources made and used in the session for Feature Engineering
User: subhamchoudhury
label-encoding,Heart Disease Prediction using Decision Tree Classifier
User: tasnimmuna2610
label-encoding,An Artificial Neural Network(ANN) model that predicts whether the credit score status is good or bad
User: tunabozkir
label-encoding,Analyse the factors that lead to employee attrition at IBM.
User: uniquevineet
label-encoding,A Kaggle project to predict house prices using XGBoost modeling
User: winleexz
label-encoding,Linear Discriminant Analysis
User: zauverer
label-encoding,Built various machine learning models for banks to develop effective credit rating
User: zhousrhhh
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