This Python Programming Machine Learning Course will help you to get a cut above the rest and allow you to be more efficient in the field of Python. We also provide experts who will help & guide you with the Python Programming Machine Learning course, if you need any assistance.

Course Curriculum of Python Programming Machine Learning bundle :

Python 3 Programming

• Welcome
• Why you should learn
• Math operators
• Strings
• Variables and variable naming rules and much more…
• Defining functions
• Local and global variables
• Coding guess the number program and much more…
• Lists
• Creating smaller out of bigger list
• Manipulating lists and elements and much more…

Course 02: Machine Learning Course with Python

• Learn machine learning principles and techniques.
• Gain proficiency in Python programming.
• Apply machine learning to real-world problems.
• Understand supervised and unsupervised learning.
• Build and evaluate machine learning models.

Course 03: Python Course

• Master Python programming fundamentals.
• Develop coding and problem-solving skills.
• Understand Python libraries and applications.
• Create Python-based applications and scripts.
• Prepare for advanced Python programming.

Course 04: Data Science and Visualization with Machine Learning

• Explore data science concepts and methodologies.
• Learn data visualization techniques.
• Apply machine learning to data analysis.
• Communicate insights through data visualization.
• Gain skills for data-driven decision-making.

Course 05: Infographics Web Design – Affinity Designer Training

• Learn web design with Affinity Designer.
• Create engaging and informative infographics.
• Design visually appealing web graphics.
• Develop skills in vector graphics and layout.
• Enhance web design capabilities.

Course 06: Website Hacking From Scratch

• Understand website security vulnerabilities.
• Learn ethical hacking techniques.
• Identify and fix common website vulnerabilities.
• Explore web penetration testing.
• Enhance web security awareness.

Course 07: Web Application Penetration Testing Course

• Master web application security testing.
• Learn ethical hacking for web apps.
• Identify and mitigate web vulnerabilities.
• Develop skills in security assessment.
• Enhance web application security.

Course 08: Excel Add-in with C# VSTO and Web

• Create Excel add-ins using C# and VSTO.
• Extend Excel functionality with custom add-ins.
• Integrate web services into Excel.
• Automate tasks and data retrieval.
• Develop Excel-based solutions.

Course 09: AutoCAD VBA Programming

• Learn AutoCAD VBA programming.
• Automate AutoCAD tasks with VBA.
• Develop custom AutoCAD applications.
• Enhance design and drafting efficiency.
• Gain VBA programming skills.

Course 10: Augmented Reality

• Explore the world of augmented reality (AR).
• Understand AR development tools and platforms.
• Create AR applications and experiences.
• Integrate digital content with the physical world.
• Discover practical AR use cases.

Course 11: CompTIA Network

• Prepare for the CompTIA Network+ certification.
• Learn essential networking concepts and protocols.
• Configure and troubleshoot network devices.
• Enhance network security knowledge.
• Develop skills for network administration.

Course 12: Ethical Hacking, IT Security and IT Cyber Attacking

• Explore ethical hacking and cybersecurity.
• Learn security assessment and penetration testing.
• Understand cyber threats and vulnerabilities.
• Develop skills to protect IT systems.
• Prepare for ethical hacking certifications.

Course 13: Data Structure

• Learn fundamental data structures.
• Understand algorithms and data organization.
• Develop efficient coding practices.
• Solve complex problems with data structures.
• Enhance programming and problem-solving skills.

Course 14: Data Protection (GDPR) Practitioner

• Gain expertise in General Data Protection Regulation (GDPR).
• Understand data protection principles and compliance.
• Implement GDPR requirements in organizations.
• Ensure data privacy and security.
• Prepare for GDPR practitioner roles.

Course 15: Computer Operating System and Troubleshooting

• Learn about computer operating systems.
• Understand OS installation and configuration.
• Troubleshoot common OS issues.
• Optimize system performance.
• Enhance computer troubleshooting skills.

This Python Programming Machine Learning course is well suited for the following

• Data scientists
• Software developers
• Financial analysts
• Network administrators
• Students

There is no formal qualification needed for this Python Programming Machine Learning course.