It allows the user to draw a number on the screen in Python using Pygame and have the program take a guess of which digit it is from the trained model. An augmented MNIST dataset is used.
The Python program allows the user to capture a sudoku puzzle and then returns its solution. OpenCV and TensorFlow are used for image processing and predicting the digits in the puzzle.
The Python program allows the user to capture a sudoku puzzle and then returns its solution. OpenCV and TensorFlow are used for image processing and predicting the digits in the puzzle.
Analyzing the Churn rate of Customers in Telecom Industry in Python. Regression models are used for finding the best model that fits.
Given code packet do preprocessing like removing useless and less frequent words present in text data, vectorizing text and creating Embedding matrix (as NumPy array) in Python.
Implementation of Linear Regression from scratch in Python using NumPy library with mean squared error as loss function.
Given module calculates the minimum cost of the spanning tree for a graph using Kruskal's algorithm. The graph is implemented by edge list and disjoint set union in Python.
We train a LSTM network to perform English to French Translations. The project has been implemented using TensorFlow and Keras on Python.
Classifies traffic signs into 43 classes using the GTSRB dataset. The project can be used in self driving cars. The project has been implemented using TensorFlow and Keras on Python.
This project/code uses Ceasar Cipher algorithm to encrypt and decrypt files using a key provided by the user in C++ program.
A video is a series of images which are displayed for less than 0.05 sec. Hence we use this algorithm to extract those important frames from video by using Python language & OpenCV library.
Classification of 101 food items from the dataset food101 in Python using TensorFlow.