Implement a Chinese Word Segmentation Method based on a paper, extract features and labels from training data and train a classification model.
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Updated
Nov 24, 2017 - Python
Implement a Chinese Word Segmentation Method based on a paper, extract features and labels from training data and train a classification model.
Song Popularity Predictor
Predicts gender, age, label, and zodiac sign of the writer from the given text.
The MNIST classification model using the LeNet network with Tensorflow and Keras
A simple classifier of music genders, Naive bayes, SGD and SVM used.
Train and visualize Hierarchical Attention Networks
Machine Learning , Classification and Regression
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
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Neural Network implementation (Single Layer perceptron)
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To find the quality of wine uisng k nearest neighbours algorithm
Final project for PyTorch Scholarship Challenge that classifies flowers
using MarDCT dataset to distinguish between different types of venice boats
TalkingData AdTracking Fraud Detection Challenge
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