This project takes the input of all products the customer wants to buy along with its quantity and generates a bill based on all list items in the output.
In this project, Classification and recognition of images using the Keras from Tensorflow package is performed in R programming.
The project involves face detection to recognize five eminent personalities using MTCNN a pretrained CNN model, to detect face in the image and then training a classifier to classify the images.
Below is the given Python code using matplotlib and seaborn. This is about the iris data and showing the visualizations on the data.
Here we will try to categorize sentiments for the IMDB dataset available on kaggle using Support Vector Machines in Python
Below is the given Python code with Machine learning algorithms. This is about the titanic ship and the cause of the death of thousand passengers. So, here most of them have lost their lives.
This project aims at detecting the fraud transactions among the Credit card transactions. Autoencoders in Keras is used for this.
This is a simple project in Python which predicts the salary of MBA students based on the marks the scored in their MBA finals.
This project in Python will help malls target the right customers to buy a shopping card. As it divides the customers into 5 categories based on income and score.
A Text-Based CAPTCHA(Completely Automated Public Turing Test) Breaking System in Python Using CNN(Convolutional Neural Networks). Dataset: Generated using the "Captcha" library.
The Project aims to classify human face pictures based on their emotions using TensorFlow, Keras and OpenCV in Python. There are five classes namely: Angry, Happy, Neutral, Sad, Surprise.
In this project, we will be building our interactive Web-app data dashboard using streamlit library in Python. We will be doing sentiment analysis of Twitter US Airline Data.