Machine-learning-and-AI

iris

A series of analyses were performed on the iris data set.

Convolutional neural network on the CIFAR 100

You are going to train and experiment convolutional neural network on the CIFAR 100 dataset. The network is a Simple convolutional neural network defined with the nn.Module by yourself.

YoloV8

Use the YOLOv8 library for object detection.

VAE

Your will implement and train a Gaussian VAE, and run experiments using the MNIST datasets (containing 28 ∗ 28 gray-scale hand written digit images).

Bank Churn Prediction Data Summary

Walter Reade, Ashley Chow. (2024). Binary Classification with a Bank Churn Dataset . Kaggle. https://kaggle.com/competitions/playground-series-s4e1

Linking Writing Processes to Writing Quality

Alex Franklin, Jules King, Maggie Demkin, Perpetual Baffour, Ryan Holbrook, Scott Crossley. (2023). Linking Writing Processes to Writing Quality. Kaggle. https://kaggle.com/competitions/linking-writing-processes-to-writing-quality

DynamicNeuronController

This code implements a deep Q network (DQN) to train agents to play CartPole-v1 and MountainCar-v0. Its core innovation is the dynamic neuron controller, which is used to dynamically adjust the characteristics of the state input to enhance the learning effect.