hediyeorhan/LogisticRegressionWithArduino

Language: C - Size: 4.09 MB - Last synced: about 2 hours ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

maridda/nerval

Python framework to evaluate Named Entity Recognition (NER) models. Creates entity-level confusion matrix and classification report.

Language: Jupyter Notebook - Size: 361 KB - Last synced: about 23 hours ago - Pushed: about 24 hours ago - Stars: 6 - Forks: 1

squaredev-io/whitebox

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Language: Python - Size: 21.2 MB - Last synced: 3 days ago - Pushed: 11 months ago - Stars: 182 - Forks: 5

aditya11ad/ML-course

Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies

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Ashwani-Verma-07/Predicting-Performance-of-Advertisement

A Performance Study of Naive Bayes Classifier in Advertisement Analysis

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bhattbhavesh91/classification-metrics-python

This is a simple python example to recreate classification metrics like F1 Score, Accuracy

Language: Jupyter Notebook - Size: 182 KB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 15 - Forks: 21

Padhma/Liver-Disease-Prediction

This project aims to predict liver disease in Indian patients

Language: Jupyter Notebook - Size: 42 KB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 7 - Forks: 4

GeorgeBatch/simpsons-classification

Image Classification Coursework: Classifying Simpsons Over the Past 25 Years

Language: Jupyter Notebook - Size: 107 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 4 - Forks: 2

XORring-Samurai/Sentiment-Analysis

A model that makes use of SVM to judge whether a review is positive or negative

Language: Jupyter Notebook - Size: 2.91 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

ev2900/Data_Science_Notes

Handy reference notes for common data sciences topics

Size: 11.7 KB - Last synced: about 2 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

EthanWng97/Google-BERT-on-fake_or_real-news-dataset

📚 Use Google BERT on fake_or_real news dataset with best f1 score: 0.986

Language: Jupyter Notebook - Size: 71.1 MB - Last synced: about 1 month ago - Pushed: 6 months ago - Stars: 17 - Forks: 7

francomano/DDI

SemEval-2013 Task 9 Drug-drug interaction

Language: Python - Size: 7.63 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

HakanVardarr/rf1

F1 Statistics

Language: Rust - Size: 10.7 KB - Last synced: 14 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

Yash22222/Flask-based-Sentiment-Analysis-for-Product-Reviews

"Flask Sentiment Analyzer" is a web app that predicts the sentiment of product reviews using machine learning. Users input text, and the app determines whether it's positive or negative. It aids in decision-making by providing quick insights into customer sentiments.

Language: Jupyter Notebook - Size: 530 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

alfatharr/Bank-Customer-Churn-Prediction

Sebuah bank memiliki presentase nasabah yang churn sebanyak 20.37%. Dari nilai tersebut, kami mengembangkan model klasifikasi untuk membantu memprediksi nasabah yang sekiranya akan melakukan churn. Dengan begitu, presentase churn akan turun menjadi <15% di periode berikutnya.

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SyrineB11/Classification-projects

Solved Classification Problems

Language: Jupyter Notebook - Size: 48.8 KB - Last synced: 3 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

abhinavthapper31/Sentiment-Analysis-on-Product-Reviews

Text Classification Problem : Wrote a module to classify Amazon-Product Reviews as favourable/unfavourable. Achieved accuracy of 78% and an F1 score of .81 using Logistic Regression on a test-train split of 20%, where total records were around 50000.

Language: Python - Size: 11 MB - Last synced: 3 months ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

jodiambra/State-Farm

Showcasing data science skills for a dataset provided by State Farm for a coding interview.

Language: Jupyter Notebook - Size: 33.4 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

MohEsmail143/network-anomaly-detection

An attempt at the network anomaly detection task using manually implemented k-means, spectral clustering and DBSCAN algorithms, with manually implemented evaluation metrics (precision, recall, f1-score and conditional entropy) used to evaluate these algorithms.

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haniye6776/Manual-CNN

CNN for Fashion Mnist

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neeraj1397/Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

Developed a Convolutional Neural Network based on VGG16 architecture to diagnose COVID-19 and classify chest X-rays of patients suffering from COVID-19, Ground Glass Opacity and Viral Pneumonia. This repository contains the link to the dataset, python code for visualizing the obtained data and developing the model using Keras API.

Language: Jupyter Notebook - Size: 1.22 MB - Last synced: 3 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

roaked/fake-news-machine-learning-fuzzy-inference

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

Language: MATLAB - Size: 2.91 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

eXascaleInfolab/xmeasures

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

Language: C++ - Size: 1.1 MB - Last synced: 2 months ago - Pushed: almost 3 years ago - Stars: 16 - Forks: 6

barzansaeedpour/binary-classification-metrics

This repository provides essential tools and metrics for evaluating binary classification models, aiding researchers and data scientists in their model assessment

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xavierfactor/Diabetes-Predictive-Analytics

ML models that predict diabetic status

Language: Jupyter Notebook - Size: 4.61 MB - Last synced: 3 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

OmidGhadami95/EfficientNetV2B0---PlantVillage

Plant disease detection on PlantVillage dataset using EfficientNetV2-B0

Language: Jupyter Notebook - Size: 1.73 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 3 - Forks: 1

RimTouny/Phishing-Attack-Detection-using-Machine-Learning

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

RimTouny/Dynamic-DNS-Traffic-Analysis-for-Data-Exfiltration-Detection-with-Kafka

Crafting static and dynamic models for data exfiltration detection via DNS traffic analysis. Static model trained on batch data, while dynamic model simulates a continuous stream. Rigorous analysis, feature engineering, and model training conducted. Implementation part of AI for Cyber Security Master's assignment at the University of Ottawa, 2023.

Language: Jupyter Notebook - Size: 4.73 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

RimTouny/Network-Intrusion-Detection-Kaggle-Competition-Predictive-Modeling-and-F1-Score-Optimization

Kaggle competition on network intrusion detection. Train model, predict test set, submit as CSV (ID, Class). F1-score metric. Part of my 2023 master's program at the University of Ottawa in AI for Cyber Security.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

Ashwin0229/Collaborative-Filtering-K-nearest-neighbors-and-SVM

Using Collaborative Filtering predicting Movie Rating and K-nearest Neighbours & SVM algorithms for Number ClassificationNumber Classification

Language: Python - Size: 95.7 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

randleon/Understanding-Classification-Model-Performance-Metrics-On-Diabetes-Dataset

Evaluation of the performance of classification models can be facilitated through a combination of calculating certain types of performance metrics and generating model performance evaluation graphics. The purpose of this exercise is to calculate a suite of classification model performance metrics via Python code functions.

Language: Jupyter Notebook - Size: 85.9 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

ShafakatArnob/Bengali-Misogyny-Identification-Deep-Learning-LIME

Bengali Misogyny Identification with Deep Learning and LIME.

Language: Jupyter Notebook - Size: 2.45 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

sai-123-code/JOBATHON_MAR2022

Churn predictions

Language: Jupyter Notebook - Size: 349 KB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

Spoortify/SpoortifyProject

Sportify - Your gateway to a comprehensive sports experience! Explore matches, teams, and real-time updates with advanced statistical analysis. Tailor your experience, contribute to the community, and dive into the world of sports like never before! 🌟 Explore, play, and live sports with Sportify! 🌟

Language: C# - Size: 77.1 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 2 - Forks: 0

francomano/Cards_Classification_Kaggle

This is my Convolutional Neural Network built for a Kaggle card image dataset and tested on new external images

Language: Jupyter Notebook - Size: 124 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Jalalbaim/Classify-X-rays-with-CNN

X-rays classification using deep learning

Language: Jupyter Notebook - Size: 60.1 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 0

AkashBangalkar/Faceboob-Friend-Recommendation

Machine Learning - Classification Problem

Language: Jupyter Notebook - Size: 473 KB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

dawidolko/F1-Website-Design

F1 website design project.

Language: HTML - Size: 19.6 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 1

yardstick17/DDIExtraction

Detecting drug-drug interaction (DDI) has become a vital part of public health safety. This project is an implementation of NLP based approach for such relation extraction between entities.

Language: Python - Size: 1.1 MB - Last synced: 8 months ago - Pushed: over 6 years ago - Stars: 14 - Forks: 11

m-clark/confusionMatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

Language: R - Size: 432 KB - Last synced: 8 months ago - Pushed: almost 4 years ago - Stars: 10 - Forks: 3

Stokeslet/Predicting-Football-Results-with-Machine-Learning

This is the code for predicting football (soccer) results by Amir Mirbagheri

Language: Jupyter Notebook - Size: 61.5 KB - Last synced: 8 months ago - Pushed: over 6 years ago - Stars: 5 - Forks: 7

divyar2630/Akeed_Restaurant_Recommendation_Challenge

Build a recommendation engine to predict what restaurants customers are most likely to order from given the customer location, restaurant information, and the customer order history.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced: 8 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 1

deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced: 8 months ago - Pushed: about 1 year ago - Stars: 97 - Forks: 77

manjugovindarajan/EasyVisa-US-visa-applicant-profiling-using-ML

Analyze data of US work Visa applicants, build a predictive model to facilitate approvals, and based on factors that significantly influence visa status, recommend profiles for whom visa should be certified or denied.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Raghuls-github/Best-Classifier

Set of codes and algorithms to find various regression and further the Jaccard score, F1 score, and logloass.

Language: Jupyter Notebook - Size: 120 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

BogdanPopel/Alien-Language-Classifier

Kaggle competition, details can be found at: https://www.kaggle.com/competitions/ml-2022-unibuc-23-25

Language: Python - Size: 587 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

yashkim77/AV_Twitter_Sentiment_Analysis

Twitter Sentiment Analysis (Ml hackathon)

Language: Jupyter Notebook - Size: 2.43 MB - Last synced: 8 months ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 1

ajitsingh98/Evaluation-Metrics-In-Machine-Learning-Problems-Python

evaluation metrics implementation in Python from scratch

Language: Jupyter Notebook - Size: 372 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

pedroandreou/HeartDisease-ML-Prediction

An end-to-end implementation on how to build a machine learning algorithm for detecting heart disease

Language: Jupyter Notebook - Size: 64.5 KB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

LeoTungAnh/CNN-CIFAR-100

67% accuracy on test set of CIFAR-100 by CNN in Keras without transfer learning

Language: Jupyter Notebook - Size: 394 KB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 8 - Forks: 2

akeelrashid/ML-CardioVascular-Classification-Project

Building a Machine Learning that predicts risk of Cardio Vascular Disease (CHD) within next 10 years by analyzing patient health details like BMI, glucose level, cholesterol level and many more important features

Language: Jupyter Notebook - Size: 36.6 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

Gui-Sitton/Beta-Bank

The bankers have discovered that it's cheaper to save existing customers than to attract new ones. We need to predict whether a customer will leave the bank soon. Model with the maximum possible F1 value.

Language: Jupyter Notebook - Size: 15.6 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

Ola76/McDonald_Review

McDonald's Restaurant reviews analysis

Language: Jupyter Notebook - Size: 355 KB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

Ola76/Breast_Cancer_Winconsin

Periodically when Dr. Wolberg describes his clinical cases obtained from UCI.

Language: Jupyter Notebook - Size: 9.43 MB - Last synced: 9 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

ash-0521/Abandoned-Object-Detection-in-crowded-environment-using-MATLAB

Trained MATLAB models for 82% precision/80% recall, optimized with blob analysis for 25% performance boost. User-friendly alarm system with 500+ engaged users.

Size: 682 KB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

labrijisaad/Twitter-Sentiment-Analysis-with-Python

We 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.

Language: Jupyter Notebook - Size: 8.87 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 7 - Forks: 1

mandyiv/Easy-Visa-Project

The objective of this analysis is to find patterns within the dataset to gain further understanding of the data and leverage it to choose a machine learning algorithm that can recommend a suitable profile for the applicants whose visa should be certified or denied

Language: Jupyter Notebook - Size: 1.99 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

SaadTariq01DataAnalyst/Prediction-of-Bank-Churn-Customer

The goal of this project is to develop a machine learning model that can help banks to identify customers who are likely to churn and take appropriate measures to retain them

Language: Jupyter Notebook - Size: 309 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

kaymattern/forge-node

This repository contains my independent machine learning projects that were completed as part of a data science course through Forge.

Language: Jupyter Notebook - Size: 2.73 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

GunturWibawa/SentimentAnalysisJU

Junky Union is creating a system to sort movie reviews. They aim to train a model to detect negative reviews using the IMBD dataset with polarity labeling. The model must classify reviews as positive or negative with an F1 score of at least 0.85.

Language: Jupyter Notebook - Size: 21.9 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

mustaffa-hussain/Performance-Metric

This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.

Language: Jupyter Notebook - Size: 735 KB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 2

GunturWibawa/BetaBankChurnAnalysis

Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.

Language: Jupyter Notebook - Size: 321 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

aimananees/PM-Project

Performance Analysis of Multiple Classifiers using different Term Weighting Schemes for Sentiment Analysis

Language: Jupyter Notebook - Size: 10.7 KB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 0 - Forks: 1

kieubaduong/Book-Recommendation-Algorithms

Recommendation algorithm for Boka (book-reading application)

Language: Jupyter Notebook - Size: 201 MB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

Vayuputra2401/Heart_Arrythmia_Prediction

A comprehensive ML framework to detect heart disease using the Cleveland dataset

Language: Jupyter Notebook - Size: 2.33 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

jojo142/MoneyInMotionPerformancefromGamePlay

Achieved top 4% on leaderboard by developing ML model, feature engineering, and utilizing XG-Boost algorithm to process and analyze large dataset, demonstrating ability to handle sizable data and extract insights, with F1 score of 0.68 showcasing effective modeling of large-scale educational datasets.

Language: Jupyter Notebook - Size: 2.64 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

iamkirankumaryadav/Improvement

Improving a Machine Learning Model

Language: Jupyter Notebook - Size: 229 KB - Last synced: 12 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 1

iamkirankumaryadav/Classification

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

Language: Jupyter Notebook - Size: 2.89 MB - Last synced: 12 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

eonu/daze

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.

Language: Python - Size: 45.9 KB - Last synced: 21 days ago - Pushed: over 3 years ago - Stars: 3 - Forks: 0

SilentFlame/Named-Entity-Recognition

Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.

Language: Python - Size: 29.2 MB - Last synced: 11 months ago - Pushed: over 3 years ago - Stars: 41 - Forks: 16

LuisAnibalVasquez/Road-Traffic-Severity-Classification

Language: Jupyter Notebook - Size: 9.88 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

BrighentiPatrik/Model-for-predicting-student-graduation-grade

Machine Learning Model to predict student graduation grade

Language: Python - Size: 753 KB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

danort92/Prediction-of-Cross-sell-Opportunities-for-Insurance-Policies

Insurance Cross Sell Opportunity Forecast through machine learning algorithm

Language: Jupyter Notebook - Size: 7.4 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

dianamerchan91/Proyecto7_Modelo_Desercion_Bancaria

Modelo de machine learning que permite determinar aquellos clientes con una mayor tendencia a abandonar sus cuentas bancarias en Beta Bank.

Language: Jupyter Notebook - Size: 107 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

minar09/bfscore_python

Boundary F1 Score - Python Implementation

Language: Python - Size: 112 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 20 - Forks: 11

elifftosunn/Bert-Bank-Model

It is a Turkish BERT-based model that will analyze people's bank complaints and classify them according to one of eight categories. #Acikhack2023

Language: Jupyter Notebook - Size: 5.23 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

grvnair/heart-failure-prediction

Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository

Language: Jupyter Notebook - Size: 292 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

KrishArul26/Defect-detection-in-Air-Pressure-system-APS-of-a-truck-using-ML

The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.

Language: Jupyter Notebook - Size: 15.8 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 0

ignaciocordova/bachelor_thesis

Final Thesis of my BSc in Physics. Worked with data gathered by PAZ satellite. Pandas, NumPy, ScikitLearn, Data Visualizations...

Language: Jupyter Notebook - Size: 13 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

WilliamY97/Parkinsons-Vocal-Analysis-Model

Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.

Language: Python - Size: 3.05 MB - Last synced: about 1 year ago - Pushed: about 7 years ago - Stars: 18 - Forks: 6

rochitasundar/Customer-profiling-using-ML-EasyVisa

The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.

Language: Jupyter Notebook - Size: 7.68 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 6 - Forks: 2

SaraGhR/pistachio

Use k-NN model on a pistachio data set and check the accuracy of recognizing two different types of pistachios and separating them from each other.

Language: Jupyter Notebook - Size: 107 KB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

SudhakarKuma/Machine_Learning

A repository of resources for understanding the concepts of machine learning/deep learning. 

Language: Jupyter Notebook - Size: 615 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 29 - Forks: 26

magesh-technovator/feature-matching-opencv-python

Image key points Extraction, Description, Feature Matching

Language: Python - Size: 6.64 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 16 - Forks: 9

jarred13/Predicting_Heart_Disease

This was my finial paper for my Harvard Data Science Certification. This paper used machine learning to predict if a patient had heart disease or not.

Size: 765 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

sachelsout/performance-metrics-from-scratch

This repository has the implementation of Performance Metrics (e.g. F1 score, AUC, Accuracy, etc) from scratch, without using Scikit Learn library.

Language: Jupyter Notebook - Size: 561 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

saima8/Low-Birth-Weight-Prediction

Early Prediction of Birth weight Based on Maternal Factors using Machine Learning.

Language: Jupyter Notebook - Size: 4.65 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1

leylatulu/Evaluation-of-Classification-Model

Language: Python - Size: 2.93 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Enkk17/Bot-Telegram-scraping

telegram bot that scrapes and returns F1 and Motogp standings

Language: Python - Size: 4.88 KB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

julesmanigne/Formula1-2022-datasets

Data for 2022 Formula 1 World Championship

Language: Jupyter Notebook - Size: 18.6 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

hariprasath-v/AV-Dataverse-Hack---Insurance-Claim-Prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

Language: Jupyter Notebook - Size: 7.36 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

hariprasath-v/Zindi_UmojaHack-India-Income-Prediction-Challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

Language: HTML - Size: 1.69 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

baaraban/pytorch_ner

LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings

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FilobateerEssam/IBM-Machine-Learning-Project

build a classifier to predict whether a loan case will be paid off or not. in loan applications, clean the data, and apply different classification algorithm on the data. use the following algorithms to build your models: k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index F1-score LogLoass

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ajaycc17/credit-card-fraud-detection

A machine-learning project on detection of fraudulent credit card transactions.

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Anas436/Loan-Case-will-be-Paid-OFF-or-NOT-Prediction-using-Classification-with-Python

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Anas436/Cancer-Detection-using-Support-Vector-Machines-with-Python

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prabhatk579/credit-card-fraud-detection-using-logistic-regression

Classifying whether the credit card transaction is fraudulent or not using Logistic Regression

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Abdullah2020/Hamoye_StageC

This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.

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Abdelrahman13-coder/Supervised-Machine-Learning

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