Big data analysis with pyspark on google-colab
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Updated
Feb 18, 2023 - Jupyter Notebook
Big data analysis with pyspark on google-colab
This project is a Machine Learning-based Movie Recommendation System developed during my internship at YBI Foundation. The system uses collaborative filtering techniques to recommend movies based on user preferences and behavior. It was implemented on Google Colab using Python and popular machine learning libraries.
Inteligência Artificial para melhorar a segurança no trânsito
Verzeo's Major Project - Signs of Ageing
This project demonstrates image classification on the CIFAR-10 dataset using transfer learning with the pre-trained VGG16 model. The implementation is done in Google Colab and includes data preprocessing, model adaptation, training, evaluation, and result visualization using TensorFlow and Keras.
Neural Networks dog breed classifier model developed on Google Collab from Kaggle Dog Breed Identificator dataset.
Classification using Machine Learning Techniques on Breast Cancer Wisconsin Data Set (diagnosis) Using Support Vector Machines with the accuracy of 0.96
Final project for my calculus-based statistics class at Brandeis University.
Style transfer
add an OCR text layer to scanned PDF files, allowing them to be searched
Supervised Learning DL model/network for prediction of Images - Images Classifiers
Machine Learning appliqué aux Valeurs Foncières Française
Basic Machine Learning for Image Classification (Paper, Rock, Scissor)
Port of stable-karlo for Google Colab. Upscaling Karlo text-to-image generation using Stable Diffusion v2.
Dados são o centro de nossa economia digital e a ciência de dados foi classificada como a profissão mais quente do século 21
Multiple Disease Prediction System using Machine Learning
Just another google colab notebook :v
Building a deep learning model to make colorectal cancer histology classification
Este tutorial foi criado para quem tem conhecimentos básicos de programação e está interessado em aprender Python pelo nível mais básico.
The aim of this project is to create a machine learning-based binary classifier tool for Alphabet Soup, a nonprofit foundation, to assist them in selecting the applicants for funding with the highest potential for success in their ventures.
Add a description, image, and links to the google-colab topic page so that developers can more easily learn about it.
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