AI-Hacktober-MLSA
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Contributing to cutting-edge open-source projects in Machine Learning hosted by MLSA Nigeria
I used to scikit-learn classification report metric for evaluating the model.
## Description I've initiated the creation of the folder structure by adding an empty placeholder file. This is part of the groundwork for uploading the code related to this feature....
## Issue Overview We're on a mission to build a powerful translation service that can handle both text and speech inputs. One crucial piece of the puzzle is the speech-to-text...
### Project Overview In Project 1, we are working on creating a robust image classification system that can accurately identify different types of buildings, including: - Bungalows - Storey Buildings...
## **Description:** Welcome, contributors! It's time to dive into the modeling phase of our Image Classification Project. We're excited to see our AI model in action and make it capable...
## Issue Overview Our project documentation is the gateway for newcomers to understand, contribute, and make the most of our projects. To ensure it's informative, user-friendly, and up-to-date, we need...
## 📊 Data Collection for Project 3 - Nigerian Student's Year One Performance Prediction ### Project Overview In Project 3, we are working on building a Tabular Machine Learning model...
## Issue Overview Our project aims to break down language barriers and enable seamless communication in local dialects. To achieve this, we need to implement a robust translation workflow that...
## 🚀 Speech Translation - Streamlit Script Contribution ### Project Overview In Project 2, we are working towards creating a powerful translation service for local dialects, including Yoruba, Igbo, and...