This repository documents the tasks and projects completed during my data science internship at Coder Caves. Throughout the internship, I worked on a variety of data-driven projects and tasks, gaining hands-on experience in the field of data science.
- Exploratory Data Analysis (EDA): Explored and analyzed diverse datasets to extract valuable insights.
- Machine Learning: Implemented machine learning algorithms for predictive modeling and classification tasks.
- Data Visualization: Created informative visualizations using tools like Matplotlib and Seaborn.
- Statistical Analysis: Conducted statistical tests and hypothesis testing to draw meaningful conclusions.
- Data Cleaning and Preprocessing: Worked on data preprocessing techniques to prepare datasets for analysis.
- Documentation: Documented project findings, methodologies, and code for future reference.
- Python
- Google colab
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Statistical Tools (if applicable)