Data Analysis with Python - Course Learnings

This repository contains my notes, code implementations, and insights from completing the Data Analysis with Python course on Cognitive Class, powered by IBM.

Course Overview The course covered various aspects of data analysis using Python, including:

Introduction - Fundamentals of data analysis, Python basics, and setting up the environment.

Data Wrangling - Techniques to clean, organize, and manipulate data for analysis.

Exploratory Data Analysis (EDA) - Insights into data visualization, statistical analysis, and pattern recognition.

Model Development - Building predictive models using regression and classification techniques.

Model Evaluation - Assessing model performance using metrics and validation methods.

Technologies and Libraries Used Python, Pandas, NumPy, Matplotlib, Scikit-Learn

Certificate You can view the certificate of completion (https://courses.cognitiveclass.ai/certificates/d762e75c3fee413e8e0fdba515846bba)

Contact

Feel free to reach out if you have any questions or suggestions! You can connect with me on linkdin (https://www.linkedin.com/in/priyam-priyadarshi-7bba69262/)