My name is Phil, a passionate and dedicated data scientist. I am enthusiastic about leveraging data to solve real-world problems and drive informed decision-making.
🌱 I’m currently learning advanced machine learning techniques and deep learning.
💡 I love exploring new data sets and uncovering insights through data analysis and visualization.
💬 Ask me about data science, machine learning, Python, and SQL.
⚡ Fun fact: I love playing football in my free time.
~ Programming Languages: Python, R, SQL
~ Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly
~ Machine Learning: Scikit-learn, TensorFlow, Keras
~ Database Management: MySQL, PostgreSQL
~ Tools & Technologies: Jupyter Notebook, Git, Power BI, Excel
This project focuses on predicting air ticket prices for domestic flights within India using machine learning techniques. The model is designed to analyze various factors that influence ticket pricing, such as airline, route, departure time, and more, enabling both airlines and passengers to make data-driven decisions.
This project focuses on predicting air ticket prices for domestic flights within India using machine learning techniques. The model is designed to analyze various factors that influence ticket pricing, such as airline, route, departure time, and more, enabling both airlines and passengers to make data-driven decisions.
