Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by rubydamodar
A curated list of projects in awesome lists by rubydamodar .
https://github.com/rubydamodar/filterx-the-visionary-lens
FilterX is an innovative webcam application that enhances your video feed with artistic filters like X-ray, sepia, and night vision. Capture stunning images and explore vibrant colors with intuitive controls. FilterX transforms every moment into a unique visual experience, redefining creativity and expression in real time.
artistic-effects computer-vision creative-exploration image-capture real-time-processing user-friendly-interface user-interaction video-enhancement webcam-filters x-ray-simulation
Last synced: 14 Nov 2024
https://github.com/rubydamodar/loan-approval-prediction-
Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.
ai-in-finance banking classification classification-internal credit-risk data-science exploratory-data-analysis feature-engineering financial-analytics loan-approval machine-learning matplotlib pandas predictive-modeling python scikit-learn seaborn visualization
Last synced: 31 Oct 2024
https://github.com/rubydamodar/protext-analyzer
ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and linguistic complexity. Ideal for businesses and researchers, it enhances understanding of textual data.
complex-word-definition data-cleaning-techniques data-extraction linguistic-complexity metrics-explained readability-analysis sentiment-analysis syllable-counting-methodology tokenization-process
Last synced: 14 Nov 2024
https://github.com/rubydamodar/rubydamodar
I am a dedicated data scientist passionate about applying advanced statistical modeling and machine learning techniques to convert complex data into actionable insights. My expertise spans the entire data science lifecycle—from exploratory analysis and model development to evaluation and visualization.
Last synced: 14 Nov 2024
https://github.com/rubydamodar/the-ultimate-pandas-bootcamp
Welcome to the Pandas for Data Science repository! This course is designed to take you from beginner to proficient in using Pandas, the powerful data manipulation library in Python. Whether you're just starting your data science journey or looking to sharpen your skills, this repository contains all the resources
beginner-friendly csv-data data-analysis data-cleaning data-manipulation data-science data-visualization dataframe exploratory-data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python python-pandas series statistical-analysis time-series titanic-dataset
Last synced: 18 Oct 2024
https://github.com/rubydamodar/scipymastery-from-basics-to-breakthroughs
"SciPyMastery: From Basics to Breakthroughs" is a complete guide to mastering SciPy, covering core topics like optimization, signal processing, and solving equations, with real-world applications and examples. Ideal for learners at any level, it offers a step-by-step approach to becoming proficient in scientific computing.
Last synced: 14 Nov 2024
https://github.com/rubydamodar/cognifyz-data-mastery-program
This repository contains the tasks and projects from the Cognifyz Data Internship Program, focused on data exploration, descriptive analysis, predictive modeling, feature engineering, and visualization. It offers hands-on experience with real-world datasets to help interns build valuable data science skills.
Last synced: 14 Nov 2024
https://github.com/rubydamodar/moviemind-rating-prediction
An AI-powered model to predict movie ratings based on genre, director, actors, and more, providing insights into the factors that influence viewer and critic ratings.
Last synced: 14 Nov 2024
https://github.com/rubydamodar/codsoft-ds-projects
I'm completing five comprehensive tasks in the CODSOFT Data Science internship: Titanic Survival Prediction, Movie Rating Prediction, Iris Flower Classification, Handwritten Digit Recognition, and Stock Price Forecasting.
Last synced: 14 Nov 2024
https://github.com/rubydamodar/titanic-survival-prediction
This Repositorie aims to predict the survival of passengers aboard the Titanic using machine learning techniques. The dataset includes various attributes such as age, gender, ticket class, and more, which are analyzed to build a predictive model.
Last synced: 14 Nov 2024