Data-Co-Lab/tutorials

The_Data_Science_and_Machine_Learning-Resource-Sheet

one sheet to learn them al!

Facial-Emotion-Recognition

This project aims to detect facial expressions in real time using CNNs. We subdivided the task into 2 smaller tasks: Detecting faces using YOLO and then Training a CNN on these small close-up face images to identify emotions. The dataset used in this project is the famous FER13 data.

Plant_Disease_Classification

This project aims to detect plant diseases from plant leaf images. To achieve this goal we preprocessed images using the grabcut algorithm and trained a CNN model using the plant disease dataset from kaggle. Our model successfully classifies 38 different types of disease with an accuracy up to 97%.

Mastering_Gym_Library

The main focus of this project is the understanding of the Gym library, writing a simplified code and adapting it to several classic games and Atari games.