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.

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.

Image Segmentaion Projects

Final project for my calculus-based statistics class at Brandeis University.

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

Basic Machine Learning for Image Classification (Paper, Rock, Scissor)

Dados são o centro de nossa economia digital e a ciência de dados foi classificada como a profissão mais quente do século 21

classifying tweets written in the Modern Standard Arabic language into one of 3 classes of sentiments (positive, negative and neutral)

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.

Projet de Machine Learning pour estimer le prix optimal d'une voiture d'occasion via un modèle de régression linéaire et une application Python

Performed analysis using Bayesian statistics and visualization to uncover insightful patterns, resulting in significant time and efficiency improvements by 90%.

Collection of useful Python notebooks I've created

CIFAR-10 Image Classifier with PyTorch and Streamlit