Use Python and NLTK to build out your own text classifiers and solve common NLP problems
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Updated
Jan 15, 2020 - Jupyter Notebook
Use Python and NLTK to build out your own text classifiers and solve common NLP problems
The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.
Build intelligent applications that can interpret the human language to deliver impactful results
Silicon Valley inspired binary classifier to identify hot-dogs and not-hot-dogs. Source: https://www.youtube.com/watch?v=vIci3C4JkL0
Online Passive Aggressive Binary Classifier
An image classifier that determines whether an image contains a dog or a cat.
MNIST Handwritten Digits Classification
Pipeline for mask detection over a Pi camera video feed.
The ML task in this assignment is binary classification, stock market prediction, based on daily news dataset.
A binary classifier to test whether an image belongs to the "hot dog" class or the "not hot dog" class, as seen on HBO's Silicon Valley.
A Binary Classifier based on the Cats Vs Dogs dataset served in Flask
Binary Linear Classifier - AI Supervised Algorithm
Using machine learning and neural networks, use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
Deep Learning using Python and Tensorflow 2.0 (binary classification)
Ameliorating Performance of Random Forest using Data Clustering | Research for a novel approach for binary class classification problem
Explores classification methods to predict whether a student will answer a test question correctly
Create a binary classifier that is capable of predicting whether applicants will be successful if funded by a charity. This involved taking a deep dive into neural networks. Initially run on google-colab
Slovenian Definition Extraction
Neural Network built with PyTorch for the Quora Kaggle competition 🥈
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