Tensorflow, Keras, DataSpell, Scikit-Learn, PyCharm
Fake news has become a focal point of discussion in the media over the past several years. Therefore, there is a need for an automated way to classify fake and real news accurately.
Recently, I have been very interested in analyzing data for political science research. Fortunately, its easy to find political science data, encyclopedias, and information about quantitative and qualitative research methods.
The most commonly used method for estimating state- level opinion is called disaggregation. The process is simple and easy to implement: After combining a set of national polls, you calculate the opinion percentages disaggregated by state.
The problem with disaggregation is that it requires a large number of national surveys…
The Granger causality test is a statistical hypothesis test for determining whether one time series is a factor and offer useful information in forecasting another time series.
For example, given a question: Could we use today’s Apple’s stock price to predict tomorrow’s Tesla’s stock price? If this is true, our…
Because of the trials are still ongoing, researchers caution against making head-to-head comparisons of vaccines based on incomplete data. But for the sake of learning, we will do it anyway, just not making any meaningful conclusions.
Autoencoders are an unsupervised learning technique, although they are trained using supervised learning methods. The goal is to minimize reconstruction error based on a loss function, such as the mean squared error.
In this post, we will try to detect anomalies in the Johnson & Johnson’s historical stock price time…
Most of the researchers submit their research papers to academic conference because its a faster way of making the results available. Finding and selecting a suitable conference has always been challenging especially for young researchers.
This time, we are going to create a simple logistic regression model to classify COVID news to either true or fake, using the data I collected a while ago.
The process is surprisingly simple and easy. We will clean and pre-process the text data, perform feature extraction using NLTK library…
It’s not easy for ordinary citizens to identify fake news. And fake coronavirus news is no exception.
As part of an effort to combat misinformation about coronavirus, I tried and collected training data and trained a ML model to detect fake news on coronavirus.
My training data is not perfect…
It is heart breaking to learn that Half of Canadians fooled by Covid-19 conspiracy theories.
According to the WHO, the COVID-19 related infodemic is just as dangerous as the virus itself. Similarly, conspiracy theories, myths and exaggerated facts could have consequences that go way beyond public health.