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Project Description
In today's data-driven world, the ability to harness the power of predictive analytics is paramount. The "Predictive Analytics for Vaccination Tweets" project represents a compelling journey into the realm of data science, text analysis, and machine learning. This endeavor focuses on understanding and categorizing tweets related to vaccination through advanced data preprocessing, text normalization, and classification techniques












Project Information
- Title: Vaccination Tweets - Text Normalization and Text Classification
- Course: Predictive Analytics Project
- Date: January 2023
- Skills Demonstrated:
- Programming Languages: Proficient in Python for data preprocessing, text classification, and analysis.
- Data Loading: Successfully loaded and prepared the dataset for analysis.
- Data Labeling: Implemented data labeling techniques using data frames.
- Handling Null Values: Checked and addressed null values in the dataset.
- Text Normalization: Performed text normalization on textual data for consistent analysis.
- Text Classification: Employed text classification techniques for categorizing vaccination-related tweets.
- Feature Engineering: Utilized TF-IDF (Term Frequency-Inverse Document Frequency) for feature extraction.
- Model Training: Trained a predictive model using TF-IDFVectorizer.
- Machine Learning: Achieved model fitting and accuracy using Support Vector Machine (SVM).
- Model Evaluation: Evaluated model performance using techniques such as Confusion Matrix.
- Data Visualization: Created informative visualizations, including heatmaps and classification reports.
- Notebook Documentation: Proficient in Jupyter Notebook for documenting code and project progress.
- Project Management: Effectively managed project milestones, timelines, and resources.