Classificação de Imagens
-
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.
Google Colab Turtle Graphics! 🐢
Beginner level Sentiment Analysis of tweets
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
Machine Learning Tokyo Tensorflow JS Workshop project
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.
Sentiment Analysis of Yelp Review Data
Exploring Google BigQuery's ethereum dataset to query balances of richest addresses on ethereum blockchain
I created this repo for a school project as a PFIEV telecom student at Ho Chi Minh university of Tech. Credits to the RetinaFace team, J. Deng, J. Guo, Y. Zhou et al.
Developed a model that harnesses the power of cutting-edge data analysis and predictive modeling to identify individuals at risk of heart disease by leveraging advanced machine learning techniques.
The "Car Price Prediction" project focuses on predicting the prices of cars using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Lasso regression, and Linear regression, this project provides a comprehensive solution for accurate price estimation.
Machine-Learning-using-KNN-Classifier-and-Logistic-Regression-and-Visualization-on-IRIS-Dataset
Gold Rates Prediction using Machine Learning Approach
Compilation of short and simple practice queries
Add a description, image, and links to the google-colab-notebook topic page so that developers can more easily learn about it.
To associate your repository with the google-colab-notebook topic, visit your repo's landing page and select "manage topics."