SMS Spam Detection Machine Learning Project with Source Code

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SMS Spam Detection Machine Learning Project which predicts whether the message is a spam or not. SMS Spam Collection dataset from Kaggle was used to classify the messages into 2 classes- Ham(1) and Spam(0) using stemming, Bag of Words model and Naive Bayes Classifiers.

Note:The dataset is an unbalanced dataset and therefore, for this situation the role of Precision becomes quite important.Precision is more focused in the positive class than in the negative class, it actually measures the probability of correct detection of positive values,

Consider the following case scenario -'suppose if the message is not a spam and if it's been predicted by the model as a spam, the consumer is going to miss that message.' So, for this type of unbalanced dataset, precision defined as {TP/(TP+FP)} plays an important role along with accuracy_score. My objective was to reduce the FP(False Positive) value as much as possible for this case and in order to overcome this issue, Naive Bayes classifiers namely, MultinomiallNB and BernoulliNB were implemented to get best accuracy_score and precision_score from the dataset.

The code is written in Python 3.6.10. If you don't have Python installed, you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after downloading the code:

About Datasets :

The original dataset can be found here. The creators would like to note that in case you find the dataset useful, please make a reference to previous paper and the web page: http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/ in your papers, research, etc.

We offer a comprehensive study of this corpus in the following paper. This work presents a number of statistics, studies and baseline results for several machine learning methods.

Almeida, T.A., Gómez Hidalgo, J.M., Yamakami, A. Contributions to the Study of SMS Spam Filtering: New Collection and Results. Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG'11), Mountain View, CA, USA, 2011.

Running the web app

Locally

  • Install requirements
    pip install -r requirements.txt --user
  • Run flask web app
    python app.py

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Loan Defaulter Prediction Machine Learning Projects

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Latest Machine Learning Project with Source Code

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Using supervised machine learning to train a model with credit default data to determine the probability and/or classification (“default” vs “non-default”) of the user’s liability. The UI will take user input such as, such as education level, sex, marital status, payment history and income, and will return a classification.

An app like this would be useful for financial and lending institutions to understand and manage the risk of their loans and lending portfolios.

 

Goals/Outcome

  • Determining probability of user liability
  • Creating an interactive UI that will take users input and return an output
  • To determine if a neural network vs logistic regression is the better model for classification

Models Created

  • Logistic Regression
  • Random Forest Model
  • Deep Neural Network

About

Probability of Credit Card Default, Machine Learning

Technologies Used : -

  • beautifulsoup4==4.6.0
  • certifi==2018.4.16
  • chardet==3.0.4
  • click==6.7
  • Flask==1.0
  • gunicorn==19.8.0
  • idna==2.6
  • itsdangerous==0.24
  • Jinja2==2.10
  • MarkupSafe==1.0
  • numpy==1.14.3
  • pandas==0.22.0
  • python-dateutil==2.7.2
  • pytz==2018.4
  • requests==2.18.4
  • scikit-learn==0.19.1
  • scipy==1.0.1
  • six==1.11.0
  • SQLAlchemy==1.2.7
  • urllib3==1.22
  • Werkzeug==0.14.1

 

Crime information management system Project in PHP

Online Crime Reporting System is a web based application that is developed using PHP and MySQL. The Objective of Crime Reporting System is to develop a web based application using which people can report crime online. It provides the facility of uploading images or videos of crime scenes so that police can take action immediately. It also provides the information of missing persons, most wanted criminals and safety tips for the awarness of people.

Project Objective:


The Objective of Crime Reporting System is to develop a web based application using which people can report crime online. It provides the facility of uploading images or videos of crime scenes so that police can take action immediately. It also provides the information of missing persons, most wanted criminals and safety tips for the awarness of people.

Existing System


Currently there is no online web application available to report crime online. In order to report any complains related with crime, people has to contact nearest police station. People of the particular city are not aware of crime related things such as list of Most wanted criminals of their city, latest crime related news, missing persons of their area etc..People has to view News Chanels or Read News Paper for such crime related information. Thus we can say that existing system is manual and does not provide all the information from one source.

Need For New System


In order to overcome the problems of existing system we pruposed to develop a new system . It is going to be developed in PHP and MySQL. Following are the advantages of New System:
(1) Online Crime Reporting Facility
(2) Information of Most Wanted Criminals
(3) Informaton of Missing Persons of their Area and City
(4) Address and Contact Details of Police Station of their City
(5) Latest Crime Related News and Updates
(6) Feedback to Police Stations
Thus, we can say that New System is fully dynamic and , time saving and requires less man power as compared to existing System

Brief overview of the technology:


Front end: HTML, CSS, JavaScript

  1. HTML: HTML is used to create and save web document. E.g. Notepad/Notepad++
  2. CSS : (Cascading Style Sheets) Create attractive Layout
  3. Bootstrap : responsive design mobile freindly site
  4. JavaScript: it is a programming language, commonly use with web browsers.

Back end: PHP, MySQL

  1. PHP: Hypertext Preprocessor (PHP) is a technology that allows software developers to create dynamically generated web pages, in HTML, XML, or other document types, as per client request. PHP is open source software.
  2. MySQL: MySql is a database, widely used for accessing querying, updating, and managing data in databases.

Software Requirement(any one)


  • WAMP Server
  • XAMPP Server
  • MAMP Server
  • LAMP Server

Installation Steps

1. Download zip file and Unzip file on your local server.
2. Put this file inside “c:/xampp/htdocs/” .
3. Database Configuration
Open phpmyadmin
Create Database named crime
Import database crime.sql from downloaded folder(inside database)
4. Open Your browser put inside “http://localhost/Project Folder Name/

Admin Login


USERNAME-  admin

PASSWORD-  qwert

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