label-encoding

There are 0 repository under label-encoding topic.

katreparitosh / Water-Quality-Analysis
Analytical understanding and applying parameter optimization, regression with gradient descent to predict water quality levels across Indian waters.
pandas label-encoding regression-models gradient-descent indian-waters water-quality water-quality-data water-quality-analysis water-quality-assessment indian-water-crisis analytical water-quality-index
Language:Jupyter Notebook 13
sauhard2701 / Fraud-Transaction-Detection
INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
ai ai-ml artificial-intelligence decision-tree decision-tree-classifier decision-trees evaluation-metrics hold-out insaid insaid-assignment internship internship-task label-encoding machine-learning ml random-forest random-forest-classifier variance-inflation-factor vif
Language:Jupyter Notebook 12
imharshag / NIDS-using-ML
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
datamining ensemble-learning gaussian-naive-bayes knn label-encoding network-intrusion-detection nsl-kdd one-hot-encoding principal-component-analysis random-forest recursive-feature-elimination svm voting-classifier xgboost matplotlib python sklearn
Language:Jupyter Notebook 6
copev313 / Chatbot-Using-Deep-Learning
We build a chatbot by implementing machine learning and natural language processing.
python jupyter-notebook tensorflow keras neural-networks sequential-models embedding-models global-average-pooling dense-layers label-encoding user-intent sklearn text-preprocessing
Language:Jupyter Notebook 4
RimTouny / Credit-Card-Fraud-Detection
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.
classification-algorithms correlation-analysis data-science detection-model dimensionality-reduction encoding feature-engineering feature-scaling fraud-detection fraudulent-transactions label-encoding outliers pca smote standardscaler tsne-visualization non-fraudulent-transactions kears max-pooling nerual-network
Language:Jupyter Notebook 3
bharatkulmani / Dry-Bean
Project is about predicting Class Of Beans using Supervised Learning Models
classifier confusion-matrix decision-tree-classifier dry-beans-dataset eda label-encoding lazypredict numpy one-hot-encoding outlier-detection outlier-removal pandas seaborn smote smote-sampling standard-scaler
Language:Jupyter Notebook 2
CRIPAC-DIG / hetgsl
[CIKM 2021] Code and dataset for "Label-informed Graph Structure Learning for Node Classification"
graph-neural-networks label-encoding
Language:Jupyter Notebook 2
saminens / Women-in-Data-Science-2020
WiDS Datathon 2020 on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative.
famcyimpute impute-algorithm mice label-encoding correlation hyperopt stratified-sampling kfold-cross-validation hyperparameter-optimization hyperparameter-tuning lightgbm wids-datathon wids feature-importance feature-engineering shapely shap-values adversarial-learning adversarial-machine-learning kaggle-competition
Language:Jupyter Notebook 2
sayo2rule / bank-churning-with-machine-learning
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).
data-preprocessing data-visualization decision-tree-classifier decision-tree-regression exploratory-data-analysis feature-selection label-encoding linear-regression logistic-regression machine-learning one-hot-encoding random-forest-classifier random-forest-regression
Language:Jupyter Notebook 2
areeba0 / Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN
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.
cosine-similarity euclidean-distance gaussian-naive-bayes gradient-descent knn principal-component-analysis support-vector-machines data-visualization dimension-reduction image-classification label-encoding confusion-matrix-analysis
Language:Jupyter Notebook 1
ft-airbnb-price-01 / backend-model
Repo houses the predictive NN model and its associated .py modules
pandas keras-neural-networks bayesian-optimization label-encoding
Language:Jupyter Notebook 1
maggieezzat / Visual-History-of-Nobel-Prize-Winners
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.
python pandas numpy matplotlib missing-values categorization sklearn label-encoding pandas-dataframe data-visualization data-preprocessing data-cleaning scatter-plot bar-chart nltk-python nobel-laureates
Language:Jupyter Notebook 1
MoinDalvs / Learn_Feature_Engineering
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
data-science missing-values handling-missing-value label-encoding data-transformation log-transformation minmaxscaling
Language:Jupyter Notebook 1
MZayed47 / CS-GO_KD-Classifier
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 “CS Go”. 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.
video-classifier opencv resnet-50 label-encoding
Language:Jupyter Notebook 1
rakib2611 / Toyota-Used-Car-Analysis-using-Machine-Learning
linear-regression one-hot-encoding label-encoding mean-average-error mean-square-error root-mean-square-error coefficient-of-variation
Language:Jupyter Notebook 1
RazHoshia / unofficial_encoders
Unofficial but extremely useful Label and One Hot encoders.
machine-learning encoder label-encoding label-encoder one-hot-encoding one-hot-encode sklearn sklearn-compatible
Language:Python 1
SannketNikam / Credit-Risk-Analysis
Credito - Credit Risk Analysis using XGBoost Classifier with RandomizedSearchCV for loan approval decisions.
credit-risk-assessment decision-tree-classifier label-encoding logistic-regression xgboost-classifier flask-application model-pickle randomizedsearchcv pythonanywhere banking hyperparameter-tuning loan-default-prediction one-hot-encoding
Language:Jupyter Notebook 1
sayo2rule / car-sharing-services
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.
arima-models cluster data-analytics database-management deep-neural-networks hypothesis-testing random-forest-regressor sqlite3 trends-plotter label-encoding
Language:Python 1
shanuhalli / Assignment-Decision-Trees
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.
counter data-preprocessing decision-tree feature-engineering grid-search-cv label-encoding model-selection prunning sklearn-metrics assignment-14
Language:Jupyter Notebook 1
shikhararyan / Text-Classification-Transformer-Model-
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.
deep-learning label-encoding nlp-machine-learning padding self-attentive-rnn tokenization transformer
Language:Jupyter Notebook 1
sorodocosmin / feedbackHHC
This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.
ai artificial-intelligence data-preprocessing doc2vec feature-selection geocoding home-healthcare label-encoding machine-learning multiclass-classification neural-network pearson-correlation python random-forest grid-search hyperparameter-tuning interquartile outlier-removal random-search streamlit
Language:Python 1
zhousrhhh / Credit_Rating_Modeling
Built various machine learning models for banks to develop effective credit rating
credit-rating loan banking finance machine-learning one-hot-encoding python feature-engineering label-encoding sgd-classifier auc average-precision confusion-matrix f1-score gradient-boosting-classifier model-metrics precision random-forest-classifier recall model-accuracy
Language:Jupyter Notebook 1
chiragn888 / Data-Science-Projects
This repository consists of various projects based on Machine Learning and NLP.
bag-of-words decession-trees knn-classification label-encoding natural-language-processing navies-bayes-classifer random-forest-classifier regression-models svm-classifier
Language:Jupyter Notebook 0
damaniayesh / Covid_data_Prediction
This project provides the data based on classification to check if the patient is covid +ve or -ve.
classification classification-models decision-tree-classifier handling-missing-value label-encoding logistic-regression numpy pandas pre-processing
Language:Jupyter Notebook 0
deepakrameshgowda / CREDIT-CARD-FRAUD-DETECTION
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.
adasyn class-imbalance cost-benefit-analysis credit-card data-cleaning data-visualization debit-card decision-trees feature-engineering fraud-detection label-encoding logistic-regression machine-learning model-comparison-and-selection model-validation predictive-modeling random-forest rfe smote
Language:Jupyter Notebook 0
Gopika-S-Nair / Machine-Learning---Classification
This repository contains Machine Learning Classification algorithms implementation
accuracy-score confusion-matrix data-cleaning data-preprocessing exploratory-data-analysis knn-classifier label-encoding train-test-split
Language:Jupyter Notebook 0
Himanshuachwaan / Diamonds
Diamonds Price prediction using Polars and Ski-learn
label-encoding lasso linear-regression matplotlib polars python3 ridge sklearn xgboost
Language:HTML 0
m-enesyilmaz / Feature_Engineering_with_Python
📶In this repository, we will do feature engineering with Python.
feature-extraction feature-scaling label-encoding missing-values one-hot-encoding outliers python
Language:Python 0
prasadposture / Data-Preparation
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.
label-encoding data-binning scaling groupby missing-value-handling outliers dummy-variables duplicate-rows
Language:Jupyter Notebook 0
REAtes / Directing-App-Customers-to-Subscription
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.
binary-encoding eda feature-engineering hyperparameter-optimization label-encoding machine-learning one-hot-encoding shap shapely visualization
Language:Python 0
S-CHAN11 / Insurance-Claim-Prediction
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.
artificial-neural-networks auc cart classification-report confusion-matrix data-cleaning-and-preprocessing decision-tree-classifier exploratory-data-analysis gridsearchcv hyperparameter-optimization label-encoding model-evaluation multivariate-analysis neural-network-classifier predictive-analysis predictive-modeling random-forest random-forest-classifier univariate-analysis variable-importance
Language:Jupyter Notebook 0
abinashsahoo007 / Project-Resume-Classification
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.
corpus count-vectorizer label-encoding lemmitization machine-learning nltk part-of-speech-tagging resume-classification spacy stemming text-mining text-preprocessing textract tfidf-vectorizer tokenization wordcloud
Language:Jupyter Notebook
EmamulHossen / Feature_Engineering
Feature engineering or feature extraction or feature discovery is the process of extracting features from raw data.
encoder feature-engineering missing-data one-hot-encoding label-encoding ordinal-encoding
Language:Jupyter Notebook
Manjari-99 / MLP_Perceptron
To implement the internal workings of perceptron and testing the accuracy of in train and test dataset.
keras-tensorflow label-encoding perceptron-learning-algorithm
Language:Jupyter Notebook
NavindaFernando / Feature-Extraction
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
categorical-encoding feature-engineering flask handling-outlier joblib numpy pandas polynomial-features scaling label-encoding quantile-transformer machine-learning html5
Language:Jupyter Notebook
Ninad077 / Machine_Learning-Logistic_Regression
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.
accuracy-score class-imbalance confusion-matrix data-preprocessing label-encoding machine-learning probability-matrix recall-value scaling-the-data splitting-train-test-data type-1-and-type-2-errors y-prediction-on-test-data
Language:Jupyter Notebook

label-encoding

katreparitosh / Water-Quality-Analysis

sauhard2701 / Fraud-Transaction-Detection

imharshag / NIDS-using-ML

copev313 / Chatbot-Using-Deep-Learning

RimTouny / Credit-Card-Fraud-Detection

bharatkulmani / Dry-Bean

CRIPAC-DIG / hetgsl

saminens / Women-in-Data-Science-2020

sayo2rule / bank-churning-with-machine-learning

areeba0 / Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN

ft-airbnb-price-01 / backend-model

maggieezzat / Visual-History-of-Nobel-Prize-Winners

MoinDalvs / Learn_Feature_Engineering

MZayed47 / CS-GO_KD-Classifier

rakib2611 / Toyota-Used-Car-Analysis-using-Machine-Learning

RazHoshia / unofficial_encoders

SannketNikam / Credit-Risk-Analysis

sayo2rule / car-sharing-services

shanuhalli / Assignment-Decision-Trees

shikhararyan / Text-Classification-Transformer-Model-

sorodocosmin / feedbackHHC

zhousrhhh / Credit_Rating_Modeling

chiragn888 / Data-Science-Projects

damaniayesh / Covid_data_Prediction

deepakrameshgowda / CREDIT-CARD-FRAUD-DETECTION

Gopika-S-Nair / Machine-Learning---Classification

Himanshuachwaan / Diamonds

m-enesyilmaz / Feature_Engineering_with_Python

prasadposture / Data-Preparation

REAtes / Directing-App-Customers-to-Subscription

S-CHAN11 / Insurance-Claim-Prediction

abinashsahoo007 / Project-Resume-Classification

EmamulHossen / Feature_Engineering

Manjari-99 / MLP_Perceptron

NavindaFernando / Feature-Extraction

Ninad077 / Machine_Learning-Logistic_Regression