Ecosyste.ms: Awesome
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Projects in Awesome Lists by sauravwel
A curated list of projects in awesome lists by sauravwel .
https://github.com/sauravwel/identify-vehicle-number-from-car-image
Automatic Number Plate Recognition (ANPR) using OpenCV and EasyOCR. We just edge detection and filtering techniques combined with deep learning powered optical character recognition to be able to extract number plate text from images.
Last synced: 16 Nov 2024
https://github.com/sauravwel/boston-housing-price-prediction-using-deep-learning
This project uses deep learning techniques to predict median housing prices in the Boston area using the Boston Housing dataset. The model employs TensorFlow, Keras, and Numpy, with a mean squared error loss function and Adam optimization algorithm. The results show high accuracy.
boston-housing-price-prediction deep deep-learning housing housing-price-prediction housing-prices tensorflow tensorflow-tutorials
Last synced: 21 Dec 2024
https://github.com/sauravwel/admission-prediction-using-pyspark-modeling
This GitHub repository contains code for predicting the likelihood of admission using PySpark, a powerful framework for distributed data processing. The code uses various input variables, including GRE Score, TOEFL Score, University Rating to train a machine learning model that can predict the chances of admission.
Last synced: 16 Nov 2024
https://github.com/sauravwel/nlp_sentiment_identification
Sentiment analysis remains one of the key problems that has seen extensive application of natural language processing. This time around, given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies/products.
Last synced: 16 Nov 2024
https://github.com/sauravwel/handwritten-digit-recognition-using-deep-learning-on-mnist-dataset
This project focuses on recognizing handwritten digits using deep learning techniques on the MNIST dataset. It employs TensorFlow, Keras, and PyTorch to train and evaluate the model, achieving an accuracy of over 98%. The project demonstrates the effectiveness of deep learning in solving image classification tasks.
Last synced: 16 Nov 2024
https://github.com/sauravwel/automatic-word-document-generator-python
An automatic word document generation system using python allows users to create documents automatically. It can insert text, paragraphs, tables, and images in a specified format, shape, and size. It can control layout, font, style, and position of elements. It saves time and improves efficiency.
Last synced: 16 Nov 2024