accuracy-score

There are 1 repository under accuracy-score topic.

whitebox
squaredev-io / whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
accuracy accuracy-metrics accuracy-score confusion-matrix explainability explainable-ai f1-score k8s kubernetes machine-learning ml-monitoring mlflow mlops model-monitoring modelops monitoring observability python recall xai
Language:Python 183
indrapaul824 / Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
classification-model framingham logistic-regression decision-trees knn-classification random-forest gradient-boosting-classifier hyperparameter-tuning ensemble-classifier resampling minmaxscalar accuracy-score confusion-matrix univariate-analysis bivariate-analysis feature-engineering supervised-learning python3 jupyter-notebooks heart-disease
Language:Jupyter Notebook 26
fischlerben / Machine-Learning-Credit-Risk
Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.
accuracy-score classification-report cluster-centroids confusion-matrix ensemble-machine-learning logistic-regression modeling pandas python random-forest resampling smote smoteenn
Language:Jupyter Notebook 12
labrijisaad / Twitter-Sentiment-Analysis-with-Python
I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.
accuracy-score bernoulli-naive-bayes confusion-matrix f1-score lemmatization logistic-regression machine-learning nlp roc-auc-curve sentiment-analysis sentiment140-dataset stemming support-vector-machine tokenization twitter-sentiment-analysis
Language:Jupyter Notebook 10
UmarRajpoot / Identify-Spam-Email-ML-Model
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
accuracy-metrics accuracy-score email-identity email-spam-filter feature-extraction linear-model linear-regression machine-learning metrics model-selection numpy pandas python sklearn
Language:Jupyter Notebook 6
FaezehAbedi2023 / Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models
This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.
matplotlib numpy pandas python scikit-learn accuracy-score confusion-matrix correlation-matrix decisiontreeclassifier f1-score histograms precision-score preprocessing-data randomforestclassifier recall-score smote-oversampler smote-sampling svm-classifier
Language:Jupyter Notebook 5
Manaliagarwal / Student-Alcohol-Consumption-Detection-
With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.
labelencoder standardscaler sklearn numpy pandas chi2-distance selectkbest mlp-classifier accuracy-score classification-report math
Language:Jupyter Notebook 4
DataScienceVibes / No-Churn-Telecom
This project focuses on predicting customer churn in the telecom industry using machine learning techniques. The model is trained to identify factors that influence customer retention and accurately predict whether a customer is likely to stay or leave.
accuracy-score data-science eda machine-learning modelcreation nochurntelecom python
Language:Jupyter Notebook 3
JaanviG / Prediction-using-Decision-Tree-Algorithm
To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
decision-tree-visualization matplotlib model-building numpy pandas seaborn sklearn-library accuracy-score train-test-split
Language:Jupyter Notebook 3
shubhambhatia2103 / Twitter-Sentiment-Analysis
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
colab-notebook deep-learning jupyter-notebook machine-learning python sentiment-analysis social-media-analysis accuracy-score logistic-regression nlp sentiment140-dataset stemming twitter-sentiment-analysis
Language:Jupyter Notebook 3
Subhajeet-Das / Netfilix-Stock-Price-prediction
Here we are trying to predict the closing price of the particular Netflix stock on a given trading day.
accuracy-score linear-regression machine-learning stock
Language:Jupyter Notebook 3
Bramitha-gowda-M / DiabetesPrediction_SVMModel
Crafted a machine learning model employing Support Vector Machine (SVM) algorithm to anticipate diabetes patterns using the diabetic prediction dataset. Dive into predictive analytics with this insightful project! 📊🔍
accuracy-score labelencoding numpy-library pandas-python prediction-model python scikitlearn-machine-learning svm-classifier
Language:Jupyter Notebook 2
CamilaJaviera91 / bagging-with-kaggle
Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).
accuracy-score bagging-classifier curses decision-tree-classifier kaggle labelencoder pandas python simpleimputer sklearn-library train-test-split
Language:Python 2
e-paj / Machine-Learning-Projects-in-Python
This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.
python clustering-algorithm k-means-clustering linear-regression machine-learning r-squared svm-model kaggle-dataset accuracy-score standardization visualization classification deep-learning numpy pandas cosine-similarity train-test-using-sklearn decision-tree-classifier feature-selection webscraping
Language:Jupyter Notebook 2
indrapaul824 / Sem-3-Project-TMDb-Movie-Analysis-and-Modeling
A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models
machine-learning preprocessing eda predictive-modeling linear-regression logistic-regression random-forest seaborn matplotlib-pyplot numpy pandas k-fold-cross-validation accuracy-score r2-score
Language:Jupyter Notebook 2
kk289 / Stock_Price_Prediction
Stock Price Prediction of APPLE Using Python
python machine-learning-algorithms linear-regression knn-algorithm svm-model rmse-score accuracy-score stock-price-prediction explanatory-data-analysis
Language:Python 2
Masihsoniya / House-price-prediction
Predicting house price
exploratory-data-analysis regression-models accuracy-score elastic-net linear-regression log machine-learning-algorithms normalization r2-score random-forest-regression ridge-regression supervised-learning bayesian correlation-analysis lasso-regression normal-distribution kurtosis lasso-regression-model skewness
Language:Jupyter Notebook 2
Mathurshab2210 / Ml_with_Mathur
Here are some fun projects to learn ML using Handson approach
matplotlib numpy-arrays ocr-python logistic-regression machine-learning random-forest-classifier regresion sklearn-library sklearn-pipeline accuracy-score confusion-matrix kmeans-clustering kmeans-clustering-algorithm linear-regression support-vector-machines data label-encoder lasso-regression preprocessing
Language:Jupyter Notebook 2
muhammad3245571106 / Student-Grade-Prediction
This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.
accuracy-score confusion-matrix decisiontreeclassifier f1-score gridsearchcv jupyter-notebook kneighborsclassifier labelencoder matplotlib numpy pandas precision-score pyplot python recall-score sklearn standardscaler train-test-split
Language:Jupyter Notebook 2
SiMewL8 / credit_risk_ml
Predicting credit risk with machine learning algorithms and help financial institutions detect anomalies, reduce risk cases, monitor portfolios with statistical functions.
credit-risk f1-score machine-learning-algorithms classifier confusion-matrix accuracy-score random-forest smote-sampling ensemble-learning scikit-learn
Language:Jupyter Notebook 2
aarryasutar / Logistic_Regression_on_Age_Prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
Language:Jupyter Notebook 1
anapysasi / ML_final_project
In this project, we aim to identify different fruits: apples, bananas, oranges, and tomatoes; through different Machine Learning algorithms: CNN, XGBoost, InceptionV3 transfer learning, and VGG16 transfer learning
inceptionv3-transfer-learning data-augmentation accuracy-score
Language:Python 1
Ansh2709 / DL-potato-disease-classification
Useful to predict the disease in potato leaves thus can predict disease like early blight and late blight used CNN,tensorflow etc
accuracy-score cnn-architecture computer-vision cross-validation f1-score keras-tensorflow resnet9 sparse-categorical-cross-entropy supervised-learning
Language:Jupyter Notebook 1
iamkirankumaryadav / Improvement
Improving a Machine Learning Model
python numpy pandas matplotlib randomized-search-cross-validation randomizedsearchcv grid-search-cross-validation gridsearchcv randomforestclassifier accuracy-score precision-score recall-score f1-score
Language:Jupyter Notebook 1
keyoumao / Credit_Risk
Supervised Machine Learning and Credit Risk
accuracy-score classification-report credit-risk precision sensitivity
Language:Jupyter Notebook 1
mariyamsoffice / movie-recommender
It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies. I have solved a machine learning classification problem and evaluated the model's performance using confusion matrix, accuracy score, recall score, precision and f1 score.
machine-learning movie-recommendation-system python confusion-matrix accuracy-score f1-score
Language:Jupyter Notebook 1
marlevek / telecom-churn
3 modelos de classificação para analisar churn de um empresa de telecom e ao final responder a pergunta: Qual modelo teve o melhor desempenho?
numpy pandas-python train-test-using-sklearn accuracy-score classification-report confusion-matrix gradient-boosting-classifier random-forest-classifier svm-classifier
Language:Jupyter Notebook 1
maryamsoftdev / Machine-Learning_AUC-ROC_Curve
learning python day 6
accuracy-metrics accuracy-score roc-auc
Language:Jupyter Notebook 1
maryamsoftdev / MachineLearning_ConfusionMatrix
Learning python day 4
accuracy-score confusionmatrix f1-score machine-learning precision-matrix sensitivity-scores sklearn specificity-matrices sensitivty
Language:Python 1
niladrighosh03 / Classification---Comparison-of-Supervised-Machine-Learning-Algorithms
This project explores supervised machine learning algorithms for heart disease prediction using the UCI Heart Disease Dataset. Various classification models like KNN, SVM, Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, Gradient Boosting, and XGBoost are implemented and compared based on accuracy, precision, recall, and F1-score.
accuracy-score analysis classification-algorithm comparison datasets decision-trees exploratory-data-analysis-eda feature-engineering heart-disease machine-learning-algorithms xgboost
Language:Jupyter Notebook 1
PoojanDoshi11 / Speech_Detection
🗣️ Speech Type Detection is a Flask app to classifies text into categories like "Hate Speech," "Offensive Language," or "No Hate or Offensive Language" with 87.3% accuracy. It offers a user-friendly interface for text input and prediction, using machine learning algorithms. Idea for managing online inappropriate language. 🌐🔍.
accuracy-score confusion-matrix flask hate-speech-detection machine-learning ml model-evaluation-metrics preprocessing supervised-learning text-classification text-preprocessing offensive-speech-detection
Language:Python 1
priyanka7411 / emotion-detection-streamlit
Emotion Detection from Uploaded Images
accuracy-score cnn compu custom-architecture deep f1-score machine-learning model pyth pytorch recall
Language:Jupyter Notebook 1
sbmagar13 / Covid-19_Prediction
Covid-19 prediction (For Nepal) with different MODELS (Sigmoidal, Linear Regressor, Random Forest Regressor) and comparisons
ml covid-19 machine-learning-algorithms sigmoidal-model linear-regression random-forest-regression accuracy-score root-mean-square-error
Language:Jupyter Notebook 1
Simran2911 / Flight-Price-Pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
machine-learning matplotlib numpy pandas seaborn accuracy-score catboostregressor r2-score random-forest-regression xgboost-regression
Language:Jupyter Notebook 1
Sou7ai1 / Sentiment-Analysis
accuracy-score gradient-descent logistic-regression sentiment-analysis
Language:Jupyter Notebook 1
SumanKOLKATA / Prediction-with-Binomial-LOgistic-Regression
👨‍💻👨‍💻 Bank deposit prediction model by Binomial Logistic Regression
accuracy-score data-science dataanalysis exploratory-data-analysis logistic-regression machine-learning-algorithms numpy-library pandas-dataframe python
Language:Jupyter Notebook 1

accuracy-score

squaredev-io / whitebox

indrapaul824 / Coronary-Heart-Disease-Prediction

fischlerben / Machine-Learning-Credit-Risk

labrijisaad / Twitter-Sentiment-Analysis-with-Python

UmarRajpoot / Identify-Spam-Email-ML-Model

FaezehAbedi2023 / Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

Manaliagarwal / Student-Alcohol-Consumption-Detection-

DataScienceVibes / No-Churn-Telecom

JaanviG / Prediction-using-Decision-Tree-Algorithm

shubhambhatia2103 / Twitter-Sentiment-Analysis

Subhajeet-Das / Netfilix-Stock-Price-prediction

Bramitha-gowda-M / DiabetesPrediction_SVMModel

CamilaJaviera91 / bagging-with-kaggle

e-paj / Machine-Learning-Projects-in-Python

indrapaul824 / Sem-3-Project-TMDb-Movie-Analysis-and-Modeling

kk289 / Stock_Price_Prediction

Masihsoniya / House-price-prediction

Mathurshab2210 / Ml_with_Mathur

muhammad3245571106 / Student-Grade-Prediction

SiMewL8 / credit_risk_ml

aarryasutar / Logistic_Regression_on_Age_Prediction

anapysasi / ML_final_project

Ansh2709 / DL-potato-disease-classification

iamkirankumaryadav / Improvement

keyoumao / Credit_Risk

mariyamsoffice / movie-recommender

marlevek / telecom-churn

maryamsoftdev / Machine-Learning_AUC-ROC_Curve

maryamsoftdev / MachineLearning_ConfusionMatrix

niladrighosh03 / Classification---Comparison-of-Supervised-Machine-Learning-Algorithms

PoojanDoshi11 / Speech_Detection

priyanka7411 / emotion-detection-streamlit

sbmagar13 / Covid-19_Prediction

Simran2911 / Flight-Price-Pridiction

Sou7ai1 / Sentiment-Analysis

SumanKOLKATA / Prediction-with-Binomial-LOgistic-Regression