Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by Gracysapra
A curated list of projects in awesome lists by Gracysapra .
https://github.com/gracysapra/r-in-data-science
This repository contains essential guides for data analysis using R, covering topics like data preparation, data reshaping, and data visualization. Each file focuses on fundamental techniques to manipulate, clean, and visualize data effectively using R programming.
data-analysis data-preparation data-reshaping data-science data-visualization data-visualizations ggplot r r-for-data-science
Last synced: 15 Dec 2024
https://github.com/gracysapra/heart-disease-prediction-using-logistic-regression
This project uses Logistic Regression to predict the likelihood of heart disease based on medical attributes such as age, cholesterol levels, and blood pressure. It includes model training, evaluation, and an interactive Gradio interface for real-time heart disease risk prediction.
classification data-preprocessing data-science data-visualization gradio-interface heart-disease-prediction logistic-regression machine-learning
Last synced: 10 Jan 2025
https://github.com/gracysapra/logistic-regression-transfer-learning
This project demonstrates transfer learning using Logistic Regression by creating a reusable module. The logistic regression model is trained in one file, saved, and then imported into another file to make predictions. The project showcases modularization for logistic regression tasks and includes accuracy evaluation.
classification logistic-regression machine-learning modules prediction transfer-learning
Last synced: 10 Jan 2025
https://github.com/gracysapra/mobile-price-prediction-using-knn
This project uses the K-Nearest Neighbors (KNN) algorithm to predict mobile phone price ranges based on features like battery power, RAM, and screen resolution. It includes data preprocessing, model training, evaluation metrics (accuracy, confusion matrix), and an interactive Gradio interface for predictions.
dataset gradio-interface k-nearest-neighbours knn-classification ml prediction
Last synced: 10 Jan 2025
https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 10 Jan 2025
https://github.com/gracysapra/beer_review_prediction
This project predicts beer ratings using a dataset containing reviews, beer attributes, and user details. By employing regression models like Random Forest, Linear Regression, and SVR, it analyzes features such as review text, beer style, and ABV. Robust preprocessing, feature engineering, and metrics like MSE and R² ensure accurate predictions.
Last synced: 29 Nov 2024
https://github.com/gracysapra/sentiment-analysis-on-twitter-data
This project applies sentiment analysis on Twitter data, classifying tweets as positive, negative, or neutral using machine learning models and BERT. It includes data cleaning, TF-IDF vectorization, and data augmentation techniques to enhance model performance.
adaboost bert classification data-augmentation data-cleaning data-preprocessing data-science datasets deep-learning logistic-regression machine-learning python random-forest-classifier sentiment-analysis svm twitter vectorization
Last synced: 10 Jan 2025
https://github.com/gracysapra/heart-disease-prediction-project
This project implements various machine learning models, including Logistic Regression, Random Forest, and FNN, to predict heart disease. Utilizing Gradio for a user-friendly interface and MLflow for model management, it aims to enhance diagnostic accuracy.
classification dataset decision-trees deep-learning ensemble-learning feedforward-neural-network fnn gradio heart-disease-prediction logistic-regression machine-learning mlflow random-forest svm user-friendly-interface xgboost
Last synced: 10 Jan 2025