This course is designed to provide students with the knowledge and skills needed to perform data science and machine learning tasks using Python programming language. Students will learn to apply machine learning and deep learning algorithms using the libraries such as scikit-learn, Kears, and Tensorflow. The course will cover topics such as data cleaning, exploratory data analysis, machine learning algorithms, model evaluation, and selecting the appropriate model for business use.
- Understand the fundamental concepts of data science and machine learning
- Perform exploratory data analysis and visualization using Matplotlib and Seaborn libraries
- Build predictive models using machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests
- Understand the basics of deep learning and its applications in Python