Welcome to the repository for my comprehensive notes on Python Data Science, Artificial Intelligence (AI), and Development. These notes were created during my completion of the Python Data Science, AI, and Development course offered by IBM on Coursera. This repository is designed to be a valuable resource for anyone looking to deepen their understanding of Python and its applications in data science and AI.
- Python Basics: Fundamentals of Python programming including syntax, data types, control structures, functions, and error handling.
- Data Science Libraries:
- NumPy: Numerical computing with powerful array objects.
- Pandas: Data manipulation and analysis with data structures like DataFrames.
- Matplotlib and Seaborn: Data visualization techniques to create a variety of charts and plots.
- Data Acquisition and Cleaning: Techniques for collecting, cleaning, and preparing data for analysis.
- Exploratory Data Analysis (EDA): Methods to summarize and explore data to uncover patterns and insights.
- Machine Learning:
- Supervised Learning: Algorithms like linear regression, logistic regression, decision trees, and more.
- Unsupervised Learning: Clustering techniques such as K-means and hierarchical clustering.
- Model Evaluation and Improvement: Techniques to evaluate model performance and improve accuracy.
- Deep Learning: Basics of neural networks, introduction to frameworks like TensorFlow and Keras.
- AI and Development: Concepts of AI development and integration into applications.
- Structured Notes: Clearly organized and formatted for easy reading and reference.
- Code Examples: Practical examples and snippets to demonstrate key concepts and techniques.
- Project Work: Examples of data science projects and practical applications of AI.
- Clone the Repository:
git clone https://github.com/Kunal-kawate/IBM_Python_Data_Science_AI_-_Development_Course_Notes.git
- Navigate to the Directory:
cd IBM_Python_Data_Science_AI_-_Development_Course_Notes - Explore the Notes: Browse through the organized notes and code examples to enhance your learning.
Contributions are welcome! If you have suggestions for improvements or additional topics, feel free to open an issue or submit a pull request. contact - kunalkawate424@gmail.com
This repository is licensed under the MIT License. See the LICENSE file for more information.
This repository is a testament to my learning journey and a resource for anyone looking to delve into the world of Python for data science and AI. Happy learning!