In this project, I am going to analyse and visualize data generated by Youtube by the end of this project you can learn how to analyse text data and text cleaning and basic plotting with Plotly.
In this project, I am going to visualize country and continent wise COVID-19 dataset by the end of this project you can learn basic plotting with Plotly.
This project is based on implementing an Autoencoder using deep learning on the MNIST dataset using Tensorflow Library on Google Colaboratory to denoise digit images using Python Language.
Any video can be compressed using the command line arguments with users flexibility in choosing the video and the amount by which video should be compressed using Python.
This Project is a GUI based Project. It stores the daily works of users to perform. This project is can schedule tasks and built-in Python language.
The Python project contains only user side. These Project seems to be like a game, random word will display on your screen , you have to type similarly words with in 60 seconds.
The Python project contains only the user side. For start in the program the user has to click start button. Also, then the user must to choose the field to play. Hence you can grow your kids IQ.
A classifier that identifies dogs and cats in Python using TensorFlow, making layers from scratch
In this project a tic-tac-toe game is made using Python. The game consists of a GUI using tkinter libraries of Python.
The project uses Tensorflow Keras convolutional neural network, to train model to classify wave signals, with a callback to prevent overfitting.
This project can be used to remove noise from any image. It has been implemented using TensorFlow in Python.
We will see what is Sequential API and Functional API, What is the difference between them, which is better and how do we use them in TensorFlow with Python.