GitHub topics: gridsearch-crossvalidation
sanjanahombal/Study-on-Sentiment-Analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
Language: Python - Size: 21.2 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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 at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
frizchar/length-of-stay-prediction
predicts length-of-stay of hospital inpatients
Language: Python - Size: 54.7 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Pawkooo13/Titanic
Preprocessing data and building some models to predict passengers survival chances.
Language: Jupyter Notebook - Size: 431 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
nishantt007/California_housing_ML
This Machine Learning model deals with Exploratory Data Analysis (EDA) for the prediction of housing prices in California. Custom transformation is performed for explicit cleaning of the data and feature extractions. Different regressor models are applied and evaluated using cross-validation scores, and are fine-tuned using Grid Search.
Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
