Sudhanshu Pandey's Projects
Add all sorts of application for hacktoberfest.
Play 2048 On Computer and Beat The BOT if YOU Can.
This is my First Self_Learning_Game_USING Logistic_Regression and PYGAME
We have Extracted Data from Amazon Web 🕸 site.
Autoencoder is an unsupervised Learning approach. It is an Artificial Neural Network(ANN) that learns to capture important piece of information (features) from a given data. An Autoencoder forms a representation of the actual data into a small matrix also known as latent space.
A Research Project Using Generative models like Variational Autoencoder (VAE), T2-Weighted Images are being generated from T1-Weighted Images. Have achieved a maximum of 0.15 RMSE on validation dataset.
Created a semantic segmentation model using PyTorch framework called MONAI. In this project I have applied various data augmentation technique and have build a UNet deep learning model.
First ML program
Comparing Learning_Curves of the Two Models
Semantic-Segmentation || UNet || PyTorch || Self Driving Cars
Predication on No_Of_Deaths In Maharashtra, Getting Data using Web_Scraping
In large business firms, the major aspect to deal with is a large amount of data. One such aspect is "feedback from the customer". It uses Unsupervised Learning for Customer Segmentation and also performs Topic Modeling.
Desktop 🖥 Application based on AI .A Productivity Tool, which uses AI to analyze User Activity. Users can learn where are they spending there time most and also compare amount of work done per day for months. It has different graphs to show our performance.
Learn how to containerize your Django project using Docker, including two different methods: using only a Docker file or using Docker Compose. Explore the syntax of both approaches and discover how to make real-time changes to your dockerized application as you develop it locally.
This is a concept that considers factors such as injured individuals, rescue teams, and people who are unaware of the threat and locates the safest safe zones, such as hospitals, and distributes injured into them.
Folder / directory structure options and naming conventions for software projects
This Program Automates GMAIL
Gradient descent method
Using simple ANN
IRIS Data Set
An Interactive Website to do hands-on Machine learning. An online platform for learning and visualizing machine learning and deep learning concepts. Here you can see algorithm in action. Examples: Read about Autoencoder and see how they work.
Pip install ModelAuto ( ML Automation Library ) .A PyPI library used for automating model building task. It provides us helpfull tools to perform tasks like Data preprocessing, Feature selection and Model Selection with few lines of code.
This is a simple speech recognition algorithm. This was a Learning Project, in which I learned how to apply machine learning to sounds, using concepts like Mfcc and the role of Fourier transform.
Visualize the change like- "CHANGE IN THETA VALUES", "CHANGE IN ERRORS" ,"COST FUNCTION",CHANGE IN PREDICTION" with each ITERATION