model-creation

An automated tool for creating and training machine learning models for image classification.

A model that predicts startup success from data on early-stage investments in the Crunchbase database.

Build an NLP and ML model predicting from the headlines of Stock News, whether the stock price will increase or not.

Custom Data Tranining using YOLOv5 with my own custom images for a Smart Shopping Cart System Project

ML model to to predict the organ donors.

Build an NLP and Machine Learning Model for Predicting the strength of password.

Detecting Spam in .tsv dataset of text message using NLP.

ML model to analyze the fertilizer and predict the same.

Mobile Application for Tracking TV Series. The Seriium mobile application was created during college as a project for the course Mobile Application Programming.

Mobile Application for Movie Tracking. The Cinema Mon Amour mobile application was created as a project for the course Mobile Application Programming.

Using Sentiment Analysis and Machine Learning detecting hate Speech in Tweets . A text classification project that identifies racist or sexist tweets to support safer online communities.

This repository includes the model code for saving and loading neural network model trained

Mobile Application for Movie Tracking. The Cinema Mon Amour mobile application was created during college as a project for the course Mobile Application Programming.

Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.

A mountain bike app created as a guide and tool for mountain bikers in the Philippines.

Attempt to make a 3-D logo annimation by takig picture as a template using Blender

The purpose of this project is to predict student loan repayment success using a neural network. Neural networks are computational models inspired by the human brain's structure and function, consisting of layers of interconnected nodes or "neurons" that can learn to recognize patterns in data.

Assignment 2 from Artificial Intelligence 1 course: Model creation using synthetic data and scikit-learn.

The Bird Species Identifier is a deep learning model capable of identifying 10 different bird species. Given an image, it predicts the bird species and provides basic information about the bird. The model is built using Python and the TensorFlow library, along with dependencies such as NumPy, Matplotlib, and Keras.