catalinalopera Goto Github PK

ai_human_textclassification

In this project, we demonstrate the process of building a text classification model using the BERT (Bidirectional Encoder Representations from Transformers) architecture. Our goal is to classify texts into two categories: AI-generated and human-written.

big_data_project

binaryclassifier

This project implement a binary classifier to classify a single number from the MNIST dataset.

compderivation

This is an exercise to practice computational derivation and matrix multiplication.

generative_adversarial_network

This project focuses on the task of Generative Adversarial Network using dataset sourced from Kaggle. The primary goal of this repository is to develop a deep learning model capable of generating high quality, diverse, and realistic images of cat faces.

image_classification

This project focuses on the task of image classification using datasets sourced from Kaggle. The primary goal of this repository is to evaluate the performance of two neural network architectures, AlexNet and VGG16, and to draw comparisons between these methods.

mathdeep

This is an exercise about applied mathematics for deep learning.

multiclassmodel

This project implements a multiclass classifier, it shows how to use tensorflow.keras.datasets mnist.

nuclear_llm

pandas

This exercise shows the comprehension of Data Analysis techniques using Pandas library. Topic: Covid-19.

powerforecasting

This project aims to analyze the data collected from the solar power plants and predict the power generation for the next couple of days, using LSTM Arquitecture.

regression_harrypotter

This is a regression problem to predict the value of vaults in a hypothetical scenario based on the number of gold and silver coins in each vault.

scikit_learn

This exercise shows how to do prediction using scikit learn for Real Estate Price.

stock_analysis_dashboard

This project aims to analyze the data collected from different financial sources and create a dashboard for stock analysis, including predictions and sentimental analysis.

trainablelayers

This project shows how to create and modify neural network layers.