Detect Fake News with Machine Learning & Feature Engineering

Welcome to Detecting Fake News with Machine Learning course. This is a comprehensive project based course where you will learn step by step on how to build a fake news detection system using feature engineering, logistic regression, and other models. This course is a perfect combination between Python and machine learning, making it an ideal opportunity to enhance your data science skills. The course will be mainly focusing on three major aspects, the first one is data analysis where you will explore the fake news dataset from multiple angles, the second one is predictive modeling where you will learn how to build fake news detection system using big data, and the third one is to mitigate potential biases from the fake news detection models. In the introduction session, you will learn the basic fundamentals of fake news detection models, such as getting to know ethical considerations and common challenges. Then, in the next session, we are going to have a case study where you will learn how to implement feature engineering on a simple dataset to predict if a news is real or fake. In the case study you will specifically learn how to identify the presence of specific words which are frequently used in fake news and calculate the probability of a news article is fake based on the track record of the news publisher. Afterward, you will also learn about several factors that contribute to the widespread of fake news & misinformation, for examples like confirmation bias, social media echo chamber, and clickbait incentives. Once you have learnt all necessary knowledge about the fake news detection model, we will begin the project. Firstly you will be guided step by step on how to set up Google Colab IDE. In addition to that, you will also learn how to find and download fake news dataset from Kaggle, Once, everything is ready, we will enter the main section of the course which is the project section The project will be consisted of three main parts, the first part is the data analysis and visualization where you wi