A systematic comparison of different machine learning & deep learning classification approaches applied to the problem of fully automatic recognition of Facial Expressions.
OCR bill detection is a python program that can detect the type of your household bills. for example, if you have samples of electricity bills, movie bills, or grocery bills, this python program detects the bill's category and stores the data in the bill into a file. Further Data visualization is done to monitor your monthly expense so that you can save wisely and track your spending.
With the Django REST system, we can construct a simple machine learning application that forecasts the species of a sample flower based on measurements of its characteristics i.e. the dimensions of the sepal and petal, length, and width. Here we'd use the same Django application and make some adjustments as appropriate. We will use Postgres as our database for this development since Postgres is best suited for building production. Django comes bundled with a fantastic dashboard from the admin. We can register users for our application with the admin dashboard, which can then communicate with our machine learning application to make predictions. This will then serve the function of our backend and admin duties for our Django application.
My Thesis project for my conversion MSc course in Informatics at Uni. of Piraeus. Project is done in Python. Aim is to develop and test a MLP NN and a Support vector machine to identify the sphere size distribution of materials based on 1D NMRI k-space data. Simulated data are used in this project
This dataset contains CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) images. Built in 1997 as a way for users to identify and block bots (in order to prevent spam, DDOS, etc.). They have since then been replaced by reCAPTCHA because they are breakable using Artificial Intelligence (as I encourage you to do). Kaggle: https://www.kaggle.com/fournierp/captcha-version-2-images
Creating a summary of the ride-sharing data and multiple-line graph that shows the total weekly fares for each city type using your Python skills and libraries.
A cluster is a group of objects that belongs to the same class. In other words, similar objects are grouped in one cluster and dissimilar objects are grouped in another cluster. Methods Used in this -Model-Based Method -Hierarchical Method -Constraint-Based Method -Grid-Based Method -Partitioning Method -Density-Based Method
