Detecting Fake News With Python And Machine Learning

Last Updated on May 3, 2021

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Fake news is false information spread through social media and other online media to achieve a political agenda. In this data science project idea, used Python to build a model that can accurately detect whether a piece of news is real or fake. Built a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into “Real” and “Fake”. Used a dataset of shape 7027×4 and execute everything in Jupyter Lab.

Tools:- Python, Machine learning , Statistics, , Jupytor notebook, Pandas, Numpy, Matplotlib, Scikit learn.

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Salary Predictor

Last Updated on May 3, 2021

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This is a web app created using open source python library called Streamlit. This library is mainly used to create web apps for machine learning and data science. In this Project I collected data required from the

Kaggle. I Used Sklearn library to get the model required for the data and I fitted the data using in-built methods in it. So I created a web app which contain two pages named Home and Prediction. In home page I displayed the data collected and a scatter graph plotted using the matplotlib library with the help of data collected from Kaggle. In prediction page there will be a text filed where we can enter the experience of the employee and click the button which ultimately shows the precited salary for that employee. Stream lit Web app gives the output of a local host URL. So we have to deploy it globally. So I deployed the web app in Heroku platform. Here in this project I just downloaded a small data set to test how it works. So here a large data set can also be taken but the process will be different in training the model. For large datasets the data should be split to train and testing data so that we can train the model accurately and advanced algorithms to train the model is also used. So based on our convenience and requirements we can do machine learning models and save it into a file and this file can be used while creating a web app.

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Research Paper On Face Detection Using Haar Cascade Classifier

Last Updated on May 3, 2021

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Abstract:

In the last several years, face detection has been listed as one of the most engaging fields in research. Face detection algorithms are used for the detection of frontal human faces. Face detection finds use in many applications such as face tracking, face analysis, and face recognition. In this paper, we are going to discuss face detection using a haar cascade classifier and OpenCV. In this study, we would be focusing on some of the face detection technology in use.



Conclusion:

In this study, we covered and studied in detail about face detection technique using haar cascades classifier and OpenCV to get the desired output. Using the OpenCV library, the haar cascade classifier was able to perform successful face detection with high accuracy and efficiency. We also used the OpenCV package to extract some of the features of the face to compare them. Also, we discussed some popular face detection methods. Further, we discussed the scope of face detection in the future and some of its applications. At last, we conclude that the future of facial detection technology is bright Security and surveillance is the major segments that will be deeply influenced. Other areas that are now welcoming it are private industries, public buildings, and schools

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E Commerce Website

Last Updated on May 3, 2021

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The primary goal of an e-commerce site is to sell goods and services online. Online shopping is a form of electronic shopping store where the buyer is directly online to the seller’s computer usually via the internet. A person sitting on his chair in front of a computer can access all the facilities of the Internet to buy or sell the products. Online Shopping System helps in buying of goods, products and services online by choosing the listed products from website(E-Commerce site). 

The Shopping cart is mainly useful for who haven’t time to go to shopping. Shopping cart is a very important feature used in e-commerce to assist people making purchases online. The sale and purchase transaction is completed electronically and interactively in real-time. User can login into eCommerce website, once he logged in then automatically one shopping cart will be created, once user select an item it will add to cart. In case user thinks the selected item is not useful for him, then he can delete that item form the cart.

Shopping Cart feature allows online shopping customers to “place” items in the cart. It Decreases the cost of creating, processing, distributing, storing and retrieving paper-based information. Expands the marketplace to national and international markets.  Upon “checkout” the software calculates as total for the order including shipping and handling postage, packing and taxes, if applicable. Reduces the time between the outlay of capital and the receipt of products and services.

The proposed system helps in building a website to buy, sell products or goods online using internet connection. Enables consumers to shop or do other transactions 24 hours a day, all year round from almost any location. It can be accessed over the Internet. 

Purchasing of goods online, user can choose different products based on categories , online payments , delivery services and hence covering the disadvantages of the existing system and making the buying easier and helping the vendors to reach wider market. It Provides consumers with more choices. Customer can purchase Products Online.

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Vaccine Prediction

Last Updated on May 3, 2021

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Can you predict whether people got H1N1 and seasonal flu vaccines using information they shared about their backgrounds, opinions, and health behaviors?

In this challenge, we will take a look at vaccination, a key public health measure used to fight infectious diseases. Vaccines provide immunization for individuals, and enough immunization in a community can further reduce the spread of diseases through "herd immunity."

As of the launch of this competition, vaccines for the COVID-19 virus are still under development and not yet available. The competition will instead revisit the public health response to a different recent major respiratory disease pandemic. Beginning in spring 2009, a pandemic caused by the H1N1 influenza virus, colloquially named "swine flu," swept across the world. Researchers estimate that in the first year, it was responsible for between 151,000 to 575,000 deaths globally.

A vaccine for the H1N1 flu virus became publicly available in October 2009. In late 2009 and early 2010, the United States conducted the National 2009 H1N1 Flu Survey. This phone survey asked respondents whether they had received the H1N1 and seasonal flu vaccines, in conjunction with questions about themselves. These additional questions covered their social, economic, and demographic background, opinions on risks of illness and vaccine effectiveness, and behaviors towards mitigating transmission. A better understanding of how these characteristics are associated with personal vaccination patterns can provide guidance for future public health efforts.

I have created two model, one for H1N1 and another for Seasonal Vaccine.

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Permission Management System

Last Updated on May 3, 2021

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Permission Management System is web project developed for the newly
joined employees to get their resumes validated by the manager and if
manager is impressed or feels that the employee is fit for the job, he
grants permission to access their official site as an employee where
employee can manage his work and gets permission to view all the
details of that job.

The aim of this project is to make the tasks of newly joining employees
and manager of the company easy. Many employees apply for the job
and the manager need to validate all the details of these employees, so
our project aim is to provide a database that can store all the applied
employee resumes and remove all the resumes which are not fit for the
job and validate the selected employee resumes. If he/she is selected for
the job then the manager will be able to give access to the official site,
where the employee can view all the other employees available in 
company and previous employee details and he/she can manage data in
the official site. And even manager can give permission whether the
employee is just an employee for the job or the admin to handle all the
tasks in official site. The main objective of this project is to grant
permissions for the newly joined employees based on his/her resume and
work.

The project is developed as a web-based application which works for a
company to maintain their records and grant permissions for new
employees. But later on, the project can be modified to all the companies
by making partial changes to the site by providing their company details
in the site online. Permission Management System utilitarian scope is
enabled through the concepts of computing mainly Database
management and the user interface aspects enabled through various web
interfaces and technologies.

Who can use this application in real life? 
1. Employees who are willing to apply for a job.
 2. Manager who gives permissions for the employee to give a job.


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