Complete Python Machine Learning and Data Science
 
This course provides an in-depth exploration of Machine Learning fundamentals, focusing on its application in solving intricate problems, particularly within Artificial Intelligence, Machine Learning, and Deep Learning Neural Networks. Throughout the course, we leverage Python, a versatile tool renowned for its capabilities in developing programs for data analysis and predictive modeling.

In this course, you will learn:

- System and environment preparation.
- Installation of Python and essential libraries (Anaconda).
- Fundamentals of Python, along with sci-py.
- Utilization of Python, Numpy, Matplotlib, and Pandas for data analysis.
- Loading CSV data using Python, NumPy, and Pandas.
- Summarizing data with descriptive statistics.
- Exploring data through data peeking, dimensional analysis, data types, statistical measures, class distribution, attribute correlations, and univariate skewness.

Course Components:

- Complete Python Machine Learning & Data Science for Dummies Courses

PDF Guide:

- Summarizing data through visualization.
- Data transformations, including rescaling, standardization, normalization, and binarization.
- Evaluation metrics for algorithms.
- Data preparation and modeling pipeline.
- Feature extraction and modeling pipeline.