A basic Hindi Word Detector made using OpenCV and Convolutional Neural Networks
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Updated
May 3, 2021 - Jupyter Notebook
A basic Hindi Word Detector made using OpenCV and Convolutional Neural Networks
Chainlink's Hackathon Spring 2023
Classifying images of dogs and cats with CNN using Tensorflow and Keras API
Python implementation of Word Embeddings - Word2Vec(CBOW, Skip Gram), GloVe, Count Vectors, TF-IDF, Co-Occurrence Matrix.
handwriting recognition with funtional API with deep learning
A Machine Learning Ensemble for Early Blindness Prevention
This project can be used to train your model to detect and recognize custom objects in images
Convolutional Neural Network model- cat/dog classification
An android application to classify 7 different types of skin cancers (images) built by integrating a CNN-RF ensemble Deep Learning model using Kotlin.
Implementation of popular deep neural network architectures in Keras
Machine Learning Project to predict if a customer would convert after using the AudioBook App based on the data collected. It is a behavioral analysis based on activities of the customer on the platform. Machine Algorithm Model used is classification model.
The repository contains an Deep Learning model trained on Alzheimer data for a classification problem
brain tumor detection
Logistic regression is a statistical technique primarily used for binary classification tasks. It predicts the probability of a binary outcome based on one or more predictor variables. Unlike linear regression, which predicts continuous outcomes, logistic regression deals with categorical outcomes.
A simple Neural Network Model to predict the housing price based on the house features like bedrooms, area, etc. We are using kaggle Housing Prices Dataset. The data has multicollinearity prob
🐝Game of life neural net
In this project, we 'The Phoenix' will create a model that will help us to predict the stock price, with colorful visualization.
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