Topic: svc-model Goto Github
Some thing interesting about svc-model
Some thing interesting about svc-model
svc-model,Our first participation in a Kaggle competition. Dry Beans Classification is an unranked competition held by ITI AI-Pro.
User: abdelrahman-a-eid
svc-model,Heart Disease Predictor using Linear regression, Logistics and Support Vector Algorithm in Python.
User: afaq-ahmed07
svc-model,Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
User: ahmedabdalkreem
svc-model,In this project work to extraction feature from shapes to be input of machine learning model.
User: ahmedabdalkreem
svc-model,In this mini-project, I have endeavored to explore various machine learning techniques and conduct data analysis using the Iris dataset.
User: amiir-zar
svc-model,Backend server for the Wine Quality Predictor.
User: andaviaco
svc-model,A classification problem for monochrome images solved using different machine learning methods (Naive Bayes, KNN, SVC, Neural Network, Convolution Neural Network).
User: claudia-maria-dudau
svc-model,Heart Failure prediction using machine learning python
User: cozumo
svc-model,The project provides information about breast cancer to help doctors predict if a person has it.
User: damaniayesh
svc-model,iNeuron DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which logistic regression, decision tree and support vector machine have been used for classification problem
User: danieljosephraj
svc-model,EDA and Prediction of F1 Race WInners
User: dhvani-k
svc-model,Classify consumers' complaints into the product category it belongs to using the description of the complaint.
User: dinachoir
svc-model,SVC and KNN methods were used to predict whether mushrooms are poisonous or edible according to their properties. Random forest and chi-square variable selection methods were applied and the 10-fold cross validation method was used and f1 scores were calculated by re-estimating. Finally, the models were compared.
User: eyllcyldrm
svc-model,A Natural Language Processing Project: Use NewsAPI to gather URL's of news articles, along with webscraping, gather news articles and generate a bias classifier to then run on news sources that are considered "centered" by AllSides Media to determine the validity of that classification.
User: fausa
svc-model,Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.
User: fpt-thaituan
svc-model,Predicción de actividad humana de acuerdo a los sensores de un smartphone
User: ginamartinezl
svc-model,Machine learning models to classify exoplanets from the raw dataset. Using Python: Sklearn, Joblib, NumPy, Pandas, Matplotlib.
User: hanesy
svc-model,Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
User: harmanveer-2546
svc-model,Creating an algorithm to classify documents. Each document can have multiple labels
User: josepmariall
svc-model,Developed a Classification model that identifies personal attacks in Wikipedia comments using TF-IDF Vectorizer and LinearSVC with F1-Score of 0.97
User: khivasarap
svc-model,Credit Card Default Prediction is a machine learning project that involves predicting the likelihood of a credit card user defaulting on their payments. The project aims to help credit card companies mitigate the risk of default by identifying potential default accounts in advance and taking preventive actions.
User: kk-niraj
svc-model,In this prototype, credit card approval data was analysed and a machine learning model was created to forecast the approval of credit card requests.
User: kunaladarsh
svc-model,Predict an individual’s belief in climate change based on historical tweet data
User: lerekoqholosha
svc-model,Creation of a FastAPI application for the euromillions which predicts whether a sequence of 5 numbers and 2 star numbers is winning.
User: lucaordronneau
svc-model,Hotel Review Classification
User: manasik29
Home Page: https://uma0shubh-hotel-reviews-app-yptmuf.streamlit.app/
svc-model,Demystify Cuisine and Culture From Ingredients using Natural Language Processing and Machine Learning | Python, Pandas, Matplotlib, NLTK, scikit-learn, webscraping, Python Flask-powered API backed by PostgreSQL, Front-end with HTML, CSS, and Javascript
User: momcancode
svc-model,Predicting the type of language in South Africa using machine learning
User: mpilenhle-cmd
svc-model,Machine learning project for speaker gender recognition.
User: mvikic
svc-model,Application to predict future occurrence of heart attack in patients on the basis of test reports
User: naman-code
svc-model,Tumor Prediction Web App
User: nirmals-workspace
Home Page: https://nirmal-data-scientist.github.io/Tumor-Prediction/
svc-model,This resume analysis website would help you select your desired candidate through a sea of applicants.Along with it, it will also help you detect the personality of the candidate through OCEAN model.
User: omkarsunilshivarkar
svc-model,Document classification using ML
User: ramachandra742
Home Page: https://github.github.io/ramachandra742/Document-Classification
svc-model,This project aims to predict if a cancer diagnosis is benign or malignant using Support Vector Machine (SVM) model. The model utilizes several features related to cancer cells to make predictions.
User: reates
svc-model,Predicting Diabetes with Machine Learning Techniques
User: ruddysimon
svc-model,When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.
User: s0nya21
svc-model,Given a set of text movie reviews that have been labeled positive or negative, a machine learning classification model should be trained and tested for predicting the nature of future movie reviews.
User: sainikhilp
Home Page: http://ai.stanford.edu/~amaas/data/sentiment/
svc-model,This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
User: samir-zade
svc-model,Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.
User: shubham5027
svc-model,Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.
User: singhxtushar
svc-model,ML API to perform OCR text extraction on receipt images and push the extracted then classified data to firebase.
User: ssandra102
svc-model,Application of Machine learning to show acts of conspiracy, insider trading, and securities fraud in Enron dataset
User: teomotun
svc-model,The Prediction and Classification of Wine Quality
User: tola-adelase
svc-model,This repository exhibits fundamental theory and algorithms with codes and explainations that frequently applied in the field Machine Learning
User: tyronecheng07
svc-model,SVC model predictions on cancer dataset of sklearn and also used GridSearchCV to find the best parameters for the SVC model
User: vishalyo990
svc-model,Prediksi Diabetes, Diabetes Predict Using SVC
User: whoishusni
svc-model,An application which uses different algorithm for detecting Fraud Transactions.
User: yash14agr
Home Page: https://credit-card-fraud-detection-nwhjfqtaygd6qyuycrn6wx.streamlit.app/
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