mikel-ua Goto Github PK

ai_jobbot

ai_linkedinrecommender

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.

background_remover

Given a folder, gets all the images and make their backgrounds transparent The modified ones will be stored in a subfolder called "NoBackgrounds"

bigdata_analysis_beer_dataset

Cleaning, exploratory analysis and drawing conclusions from data from: https://www.kaggle.com/rdoume/beerreviews

bigdata_analysis_breastcancer

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.

bigdata_analysis_germancredit_dataset

Descriptive and visual analysis, creation of decision trees and analysis of the results of the "German Credit" dataset.

bigdata_analysis_hawks_dataset

Cleaning, exploratory analysis, use and comparison of k-means and dbscan algorithms

content_based_filtering

Content based filtering, the program will show similar films to a given title based on its overviews

fine_tune_bert_for_sentiment_analysis

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

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

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

Item based recomendation system

linkedin_chatbot_with_automation

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.

nft_randomizer

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

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.

web_scrapper

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.