There are no reviews yet. Be the first to send feedback to the community and the maintainers!
C5.0-in-Python
C5.0 decision tree algorithm implementation in pythonSTEW-EEG-subject-identification
STEW-SI is a lightweight artificial neural network based subject’s identification framework implemented in Python with categorical feature support.Time-Series-Feature-Extraction-ECG
Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.LSTM-VAR-for-Multivariate-Time-Series-Forecasting
Long short term memory (LSTM) and Variational-autoencoder (VAR) combined for Multivariate Time Series ForecastingWebApp-for-clothing-prediction
WebApp for clothing predictionNLP-based-Text-Retrieval
Natural Language Processing Based Text Retrieval System in PythonBig-Data-Hadoop-Project
Big Data Hadoop framework project for analysis of superstore sales data to find insights.tkhan11.github.io
Owner Data for Deriving Insights(D4DI)Deep-learning-Sentiment-Analysis
Sentiment Analysis APP.Breast-Cancer-Classification
CNN model for classification of breast histology images "benign" or "malignant" using keras and TensorFlow as backend. Attained a classification accuracy of 85%.fashion-MNIST-CNN
In this work, author trained a CNN classifier using Keras and TensorFlow backend for prediction of fashion-items in Fashion MNIST dataset, achieving an accuracy of 92.5%.WebAPP
WebApp for salary prediction (https://salarypredictionwebapp.herokuapp.com/)iOS-App-Object-Detection
iOS app build for object detectionData-Visualization-in-Python
Data Visualization in PythonCommunity-Detection-using-R-and-Python
Different community detection algorithms implementation in R and Python.Apriori-Based-Market-Basket-Analysis
Implementation of Apriori Algorithm in Python for performing Market Basket AnalysisCNN-model-for-Digit-recognition
CNN model for solving handwritten digit recognition problem on MNIST image dataset using keras and TensorFlow as backend, 99.2% accuracy attained.Lexicon-Based-Cursive-Writing-Segmentation
Lexicon based segmentation of cursive handwritten images, and recognizing the characters using deep learning model.TensorFlowLiteSwift
TensorFlow Lite Swift package for iOS/iPad devicesRandom-Forest-Algorithm-For-Wine-Quality-Prediction
Implementation of Random forest algorithm in python to predict the quality of wine.Gene-Expression-Classification
Neural network model to perform the molecular classification of cancer.Template-Django-Website
A Django web application for booking tables and meals in a restaurant.Text-Classification
LSTM model for text classification problem on Drug reviews dataset using keras and TensorFlow as backend, Accuracy attained is 58.3 %.Dtreehub
Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.Love Open Source and this site? Check out how you can help us