Name: CUDDAPAH HASIKA
Company: CODTECH IT SOLUTIONS
ID: CT4DS3402
Domain: Data Science
Duration: July to August 2024
Mentor: N. SANTHOSH KUMAR

Overview of the Project:

Project: FAKE NEWS PREDICTION

Objective:

The objective of this project is to develop a model to predict fake news and perform analysis using Python libraries. Conclusions are drawn from the various graphs obtained during the analysis.

Key Activities:

• Define Project Scope and Objectives: Identify the goals and expected outcomes of the project.
  
• Data Collection: Collect data on news articles, including text content and metadata.
  
• Data Preprocessing and Cleaning: Handle missing values, outliers, and perform text preprocessing (tokenization, stop words removal, stemming, etc.).
  
• Feature Engineering: Convert text data into numerical features using techniques like TF-IDF, word embeddings, etc.
  
• Model Training and Evaluation:: Train machine learning models to classify news as fake or real, and evaluate their performance.
• Visualisation: Understanding the data using graphs.

Technologies Used:

• Matplotlib: Suitable for simple plots like line graphs, bar charts, histograms, etc.
• Python: Primary programming language.
• Numpy and Pandas: Used for data manipulation.
• Scikit-learn: Machine learning library for model training and evaluation.
• NLTK/Spacy: Libraries for natural language processing.

IDE Used: Google Colaboratory.

Analysis: