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Type: User
Bio: I have not failed. I’ve just found 10,000 ways that won’t work.
Type: User
Bio: I have not failed. I’ve just found 10,000 ways that won’t work.
User-Based Film Recommendation System (Python, TensorFlow): Employ TensorFlow for user skill similarity calculations. Utilizes JSON data, constructs a skill similarity model, and identifies the top-K users most similar to a given skill set. A foundation for skill-based recommendation systems with applications in job matching and social networks.
Given a folder, gets all the images and make their backgrounds transparent The modified ones will be stored in a subfolder called "NoBackgrounds"
Cleaning, exploratory analysis and drawing conclusions from data from: https://www.kaggle.com/rdoume/beerreviews
BigData Analysis - Breast Cancer Wisconsin Dataset (R, PCA, Machine Learning, ggplot2, dplyr): Exploring Kaggle's 'Breast Cancer Wisconsin (Original)' dataset. Objective: Develop a classification algorithm for benign/malignant tumor detection using PCA for dimensionality reduction and k-NN for classification. Achieved over 95% data retention.
Descriptive and visual analysis, creation of decision trees and analysis of the results of the "German Credit" dataset.
Cleaning, exploratory analysis, use and comparison of k-means and dbscan algorithms
Content based filtering, the program will show similar films to a given title based on its overviews
BERT-Based Sentiment Analysis (PyTorch, Hugging Face Transformers): Explore sentiment analysis with BERT, leveraging PyTorch and Hugging Face Transformers for fine-tuning, data prep, and deep learning in sentiment classification.
Flask API with Pandas and NumPy (Python, Flask, Pandas, Numpy) This project is a Flask API that employs Pandas and NumPy. Please note that this implementation primarily serves as an exercise in working with these libraries and may not necessarily represent a significant improvement over base Python functions.
Grepolis Farming Bot (Python, Selenium, Asynchronous Programming): Elevate your Grepolis gaming experience with this Python automation tool. Utilizes Selenium and asynchronous programming for automating resource management, trading, and World Wonders contribution.
Item based recomendation system
LinkedIn ChatBot (Pre-ChatGPT Era): An early, low-resource solution for automating LinkedIn interactions. This project combines web scraping, translation services, and a conversational AI model for automated responses. Please use responsibly, considering LinkedIn's terms of service.
Given a root folder (NFTImages) with a default model and as many folders as the user wish, the program will take one image of each and create a final image mixing the diferent images.
User-Based Film Recommendation System (Python, Pandas, Pearson Similarity) This project leverages the Python libraries Pandas and Pearson Similarity to calculate user skill similarity. It processes user data and skill information, enabling the identification of users who exhibit the highest similarity to a given skill set.
Program used to create a Dataset based on possible interviewers questions present in a web , the program also uses web scrapping to translate them using Google Traductor, so the result are two different datasets, one in english and one in spanish.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.