Wide range of libraries and frameworks
Easy to learn and use
Learn at your own pace
Industry Best Trainers: At Edifypath, our faculty members possess extensive real-time experience, are certified, have a passion for training, and are considered the best in the industry.
Tailored Course Curriculum: Edifypath offers a curriculum tailored to meet current industry needs, designed by experts and considered the best in the field.
Access to E-Learning: Participants will have access to recorded sessions of their instructor-led live classes, which will help them revise and recap the videos. They can also watch missed sessions on Edifypath's state-of-the-art Learning Management System (LMS). The recorded sessions can be accessed and watched even while on the move.
When learning Python for machine learning, you'll need to acquire a combination of foundational Python programming skills and specific knowledge related to machine learning concepts, libraries, and tools.
Here's a breakdown of what you should learn:
Basic building blocks of Python
String Operations and Regular Expressions
The Object-Oriented Approach
This course is available as part of multiple programs
When you enroll in this course, you'll also be asked to select a specific program.
Learn new concepts from Industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
We are delighted to introduce Mr Arpit Yadav, who is an Artificial Intelligence Researcher and Senior Data Scientist. He is an international speaker on AI, Machine Learning, and Data Science. He is a member of several professional organizations, including the Institution of Electrical and Electronics Engineers, the Indian Society for Technical Education, and the Indian Council for Technical Research and Development.
He has filed 4 Patents, 3 Indian Patents, and 1 Australian Patent in Artificial Intelligence. He has published several international journal papers on Machine Learning and Deep Learning. He has completed over 70 certifications in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. He has served as an AI consultant to numerous start-ups and businesses. He has also served as a mentor for several AI-related projects.
Python is widely used for machine learning for several compelling reasons:
Python's simplicity, extensive libraries, strong community support, and versatility make it a popular choice for machine learning. Its ease of use and rich ecosystem of tools and resources make Python an excellent language for developing, prototyping and deploying machine learning solutions.
Python is exceptionally popular for machine learning for several compelling reasons, which have contributed to its dominance in the field:
Python's combination of simplicity, a rich ecosystem of tools, a supportive community, cross-platform compatibility, and versatility has propelled it to the forefront of the machine-learning landscape. These factors, among others, have made Python the preferred language for data scientists and machine learning practitioners worldwide.
Python for Machine Learning is a beginner's course, and you can begin the course with good knowledge of Python programming.
After completing this course, you will be well-equipped to advance your career in this leading field.
Python is a crucial skill to have for Machine Learning. The industry is rapidly growing, and Python's powerful libraries like Pandas, NumPy, and Matplotlib make it easier to handle tasks. Mastering Python will equip you with the necessary tools for efficient Machine Learning.
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