Udacity Self Driving Car Nanodegree Project. Using a convolutional neural network in Tensorflow to detect traffic signs
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May 11, 2017 - HTML
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Udacity Self Driving Car Nanodegree Project. Using a convolutional neural network in Tensorflow to detect traffic signs
This Python Notebook was developed for a challenge: whose model is the most performant in predicting apartments' sale prices?
A complete workshop on Machine Learning Algorithms
This web application allows you to take a look at your favorite songs in different ways than you may have before. By bringing some basic visualization (via plotly) and machine learning (VADER, NLP, and SKLearn) together, I hope that you can learn something new about your favorite song.
Projeto para organização dos códigos referentes a modelagem proposta em minha dissertação de mestrado
Machine Learning model predicting the price of airbnb rentals in nyc
RIT & WIT Hackathon | Medical Sector | AI/ML | Web Development
Predicting cement strength
Notes and Code exercises form AI&ML course semester 4, IMC
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
Classify candidate exoplanets using various machine learning models like Random Forest, KNN, Logistic Regression and SVM
Predicting which passengers survived the Titanic shipwreck using different ML algorithms.
Supervised Learning Final Project
Prediction model for kaggle's Titanic survival prediction machine learning competition (over 80% accuracy)
A Chronic Disease Predictor developed with Scikit-Learn and Flask.
Project 2: Plagiarism Detection – for Udacity Machine Learning Nanodegree
Created by David Cournapeau
Released January 05, 2010
Latest release 16 days ago