The following kit demonstrates how I used the NLP packages to carry the prediction with the news generated daily. In our day-to-day life, We hear a lot of news but may not be sure whether it's genuine or fake. Based on my model you can predict the news whether real or fake giving the high volume of data in a much shorter period of time. All you need is a High volume of Data that is classified into real or fake
For Exploratory Data Analysis
Python Data Science Handbook: full text in Jupyter Notebooks
Jupyter Notebook 37840 Version:Current License: Permissive (MIT)
The fundamental package for scientific computing with Python.
Python 22989 Version:v1.24.2 License: Permissive (BSD-3-Clause)
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python 37363 Version:v2.0.0rc1 License: Permissive (BSD-3-Clause)
For Plotting and NLP
matplotlib: plotting with Python
Python 17007 Version:v3.7.1 License: No License
Statistical data visualization in Python
Python 10488 Version:v0.12.2 License: Permissive (BSD-3-Clause)
For Machine learning and Github
scikit-learn: machine learning in Python
Python 53431 Version:1.2.2 License: Permissive (BSD-3-Clause)
This is a new code other that what was provided. This code has much better accuracy when working with huge amount of data.
Jupyter Notebook 0 Version:Current License: No License
Just click on run all in the notebook. If you run into any issues please let me know.