0
Hours
Python continues to be a popular programming language, perhaps owing to its ability to get a lot of work done in few lines of code, and its versatility. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this advanced Python course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages and executable applications.
Learning Objectives
- Create object-oriented Python applications.
- Design and create a GUI.
- Store data in a database from Python applications.
- Communicate using client/server network protocols.
- Manage multiple processes with threading.
- Implement unit testing.
- Package an application for distribution.
- Numpy
- PANDAS
- Inferential Statistics
- Data Visualization
- Simple Linear Regression
- Boston house price prediction (PROJECT 1)
- Multiple Linear regressions
- Gradient Descent
- Model Performance Metrics
- Model Selection
- Naive Bayes
- Logistic Regression
- Support Vector Machine (SVM)
- Titanic Survivals prediction (PROJECT 2)
1- Engineer
2- Python Level 1
3- Python Level 2
2- Python Level 1
3- Python Level 2