This repository contains multiple machine learning and data science projects developed using Python, covering regression, classification, and exploratory data analysis workflows.
Asvithaa K
Data Analyst | Python Developer | AI & Data Science Enthusiast
This repository includes multiple Jupyter Notebook projects focused on real-world datasets and ML workflows:
- Built regression models to predict house prices
- Performed data cleaning, feature engineering, and visualization
- Applied ML algorithms for accurate prediction
- Analyzed economic growth trends using historical data
- Visualized per capita income changes over time
- Applied linear regression for forecasting
- Developed a model to predict hiring outcomes / salary trends
- Handled categorical encoding and data preprocessing
- Evaluated model performance using standard metrics
- Performed exploratory data analysis (EDA)
- Identified patterns and relationships in dataset features
- Created visual insights using Python libraries
- Built a deep learning model for pneumonia detection
- Worked with image dataset preprocessing
- Applied CNN-based architecture for classification
- Python 🐍
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn
- Jupyter Notebook
- Machine Learning Algorithms
- Deep Learning (CNN basics)
- End-to-end ML workflow experience
- Data cleaning → EDA → Model building → Evaluation
- Multiple real-world datasets handled
- Strong focus on practical implementation
To build efficient machine learning solutions and continuously improve skills in Data Science, AI, and MLOps practices.
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