Classificação de Imagens
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Updated
Oct 29, 2019 - Jupyter Notebook
Classificação de Imagens
Exploratory Data Analysis of Conference on Neural Information Processing Systems (1987-2017)
Big Data using PySpark, AWS, pgAdmin, postgreSQL, and Google Colab Notebooks to analyze if there any bias towards paid Amazon Reviews.
Analyzing if paid reviews cause positivity bias.
Google Colab Turtle Graphics! 🐢
Beginner level Sentiment Analysis of tweets
In this repo, my skills as a data scientist, exploring various data analysis, data preprocessing, and data visualization
Machine Learning using KNN Classifier and Visualization on Handwritten USPS Dataset
Explore the intricacies of Arnold's Cat Map 🐱🗺️ in this repository. Dive into its chaotic mathematical transformation through code execution and visual representation. Designed for scholarly inquiry, the project facilitates empirical experiments with guided code and interactive examples.
Trabalhos da disciplina de Inteligência Artificial Aplicada a Saúde
Julia package for solving Differential Equations with Discrete and Distributed delays
Machine Learning Tokyo Tensorflow JS Workshop project
A quick-n-dirty 45 minute primer to train an image classifier using FastAI
Perform ETL on a dataset from Amazon using PySpark.
The input dataset will consist of images containing Hindi characters. The challenge is to identify the presence of a character in images using Convolutional Neural Networks.
This repository contains my verzeo projects and internship completion certificate
Utilized PySpark to perform ETL operations and determine if there was any bias toward Amazon Vine members' reviews.
Sentiment Analysis of Yelp Review Data
Project aim is to use machine learning for predicting the winner of Pokémon among player choices. Potential audiences are the general public interested in playing the game and company management.
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