VMD7/Automate-identification-and-recognition-of-handwritten-text-from-an-image

This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.

Language: Jupyter Notebook - Size: 159 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 14 - Forks: 8

VMD7/EEG-BCI

Language: Jupyter Notebook - Size: 75.6 MB - Last synced: 30 days ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

VMD7/deepfake

Language: CSS - Size: 23.6 MB - Last synced: 3 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

VMD7/privateGPT Fork of imartinez/privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks

Language: Python - Size: 1.25 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

VMD7/Marketing_Campaign_for_Banking_Products

This is Marketing Campaign project for bank sector. To increase the customer regarding loan. This model is used to point out that customers which are going to take loan definitely. I used various machine learning algorithm to solve this problem.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

VMD7/PyQuiz

This is simple program which is used to create a quiz and checks answers instantly.

Language: Python - Size: 23.4 KB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

VMD7/RasaHandsOn

Language: Python - Size: 23.3 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

VMD7/Coding_Practice

Language: C++ - Size: 308 KB - Last synced: 7 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

VMD7/absa

This is the advanced form of the sentiment analysis from text. In this method we have to find out the sentiment regarding the aspect word. The data set contains the reviews and the aspect word/phrase. We have to find out the sentiment regarding that aspect/phrase. We have used simple method using TfIdfVectorizer and ml algorithms. Got the nearly 70% accuracy.

Language: Jupyter Notebook - Size: 2.78 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

VMD7/Decision-Tree-Classifier-of-Iris-Dataset

This is simple automatic Iris plant classifier using Decision Tree Classifier algorithm and Heroku Cloud Application Platform. This app takes input as features of Iris plant and classify it using Decision Tree Classifier algorithm.

Language: Jupyter Notebook - Size: 1.49 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 2

VMD7/VMD7

Config files for my GitHub profile.

Size: 0 Bytes - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

VMD7/Ball-Balancing-Machine

Ball balancing machine

Language: Python - Size: 97.2 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 2

VMD7/Students-Score-Prediction

This is simple and easy Machine Learning model. In this we have to predict the score of a student based on his/her study hours. This is supervised learning problem. So, I used simple Linear Regression algorithm. Also, I deployed this model on Heroku.

Language: Jupyter Notebook - Size: 171 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

VMD7/K-Means-Clustering-of-Iris-Dataset

This is task 2 of The Sparks Foundation GRIPNOV20. This repository is basically focused on Unsupervised Machine Learning. I used K-Means Clustering Algorithm to make clusters of Iris dataset.

Language: Jupyter Notebook - Size: 351 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

VMD7/presidio Fork of microsoft/presidio

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Language: Python - Size: 72.9 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

VMD7/Lbl2Vec Fork of sebischair/Lbl2Vec

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Size: 13.7 MB - Last synced: 7 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0