MoAbd / Spam-detection
Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam
☆43Updated 6 years ago
Alternatives and similar repositories for Spam-detection:
Users that are interested in Spam-detection are comparing it to the libraries listed below
- Detecting Spam Emails using CNN☆28Updated 7 years ago
- Winter Term Project 2018☆9Updated 6 years ago
- Detecting malicious URLs using Machine Learning☆29Updated 6 years ago
- Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…☆21Updated 6 years ago
- Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and o…☆30Updated 6 years ago
- NLP-Project-Fake-News-Detection☆20Updated 5 years ago
- Dog Breed classifier project of the Data Scientist Nanodegree by Udacity. A Web Application is developed using Flask through which a user…☆17Updated 2 years ago
- A classifier written in native Keras that can be used to identify seven different types of skin lesions.☆21Updated 6 years ago
- Extractive vs. Abstractive Text Summarization Methods☆22Updated 6 years ago
- This is a tutorial post to show how can we build a email spam detection system from scratch using Python☆32Updated 2 years ago
- SOM clustering on IRIS dataset☆16Updated 6 years ago
- Classify news into categories based on headline.☆30Updated 6 years ago
- Natural Language Processing Web Apps☆42Updated 5 years ago
- This is a security Knowledge Framework chatbot which will answer your queries related to web vulnerabilities.☆35Updated 2 years ago
- Name Entity Recognition using Python and Keras☆45Updated 5 years ago
- ☆55Updated 6 years ago
- Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a baye…☆23Updated 6 years ago
- Building Intrusion Detection System for Network Security Using the KD99 Data Set☆11Updated 8 years ago
- Defect prediction of java projects using neural networks.☆15Updated 7 years ago
- Experiments on building a machine learnt model for classifying text data into a chosen set of seven basic emotions.☆35Updated 8 years ago
- A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3…☆16Updated 5 years ago
- Kaggle top performer(Grandmaster) had a score of 0.10021. I had a self validation score of 0.10874 and a public score of 0.12516. Rossman…☆15Updated 6 years ago
- Ai powered web app that can analyze a picture of a skin lesion and instantly classify it into one of 7 types - including cancerous lesion…☆99Updated 4 years ago
- 2019 nCoV realtime track system based Scrapy + influxdb + grafana + NLTK + Stanford CoreNLP☆61Updated 2 years ago
- Uses deep learning and machine learning techniques to detect and classify web pages as spam, malware and phishing☆62Updated 4 years ago
- Deploying machine learning model using flask☆9Updated 6 years ago
- A simple language translator implemented in Keras with Flask serving web☆17Updated 7 years ago
- Kaggle Toxic Comments Challenge☆109Updated 6 years ago
- Machine Learning for Phishing Website Detection☆55Updated 4 years ago
- [Tutorial] Summarizing Text with Amazon Reviews☆25Updated 7 years ago