The Machine Learning with Python course offers comprehensive training that guides learners through the essential concepts and practical applications of machine learning. This course is structured to provide a robust foundation in machine learning, using Python for hands-on experience. It begins with the basics of machine learning, its applications, and challenges before introducing learners to powerful tools like Scikit-Learn for implementing machine learning models.
Understanding core mathematical concepts, such as linear algebra and probability, is essential, and this course ensures a solid grounding in these areas. It also delves into statistics, data pre-processing, and exploratory data analysis, which are critical for effective model building and feature selection.
Learners will gain expertise in feature engineering, performance metrics, and parameter tuning, which are pivotal for optimizing machine learning models. The course covers a range of machine learning types, including supervised learning (with a focus on regression and classification) and unsupervised learning (with an emphasis on clustering and association rule mining).
By completing this course, participants will be well-prepared to obtain a Python Machine Learning Certification and will have acquired the skills necessary for real-world machine learning Python training. This course serves as a valuable resource for anyone looking to advance their career in the field of machine learning.
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4-Hour Sessions
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Purchase This Course
♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
USD 199+
USD 19+
USD 59+
♱ Excluding VAT/GST
Flexi FAQ'sTo ensure a successful learning experience in the Machine Learning with Python course at Koenig Solutions, the following prerequisites are recommended:
Please note that while prior exposure to concepts like linear algebra, calculus, or advanced statistics can be very helpful, they are not strictly required as the course is designed to introduce these concepts at a foundational level.
Koenig Solutions' Machine Learning with Python course offers a comprehensive deep dive into the fundamentals and applications of machine learning. Ideal for aspiring data professionals.
This Machine Learning with Python course equips students with a comprehensive understanding of machine learning concepts, techniques, and algorithms using Python, along with practical applications and hands-on experience.
This Machine Learning with Python course is perfect for;
The cost of the Machine Learning with Python course is heavily contingent upon the location of the participant and choice of the learning method. On average, the cost for this Machine Learning with Python course at Koenig Solutions sits at USD 1100 for a 1-to-1 training and USD 450 for group training.
There is no direct examination for this Machine Learning with Python training program.
The duration of this Machine Learning with Python course varies based on the choice of learning method. At Koenig Solutions, we provide this Machine Learning with Python course is delivered as a 5-day instructor-led training. However, participants can take up this training as 5-day 8 hours per day training on weekends or 10-day 4 hours per day on the weekdays.
Completing this Machine Learning with Python certification allows professionals to make an average salary of USD 99,245 in a data scientist role or USD 97,708 as a python programmer. These are only two of the career paths available to certificate holders. Opportunities also present themselves in aerospace, finance, healthcare, travel, energy, manufacturing and gaming.
Participants who enrol for the Machine Learning with Python online training will get:
You can take up this Machine Learning with Python certification training course in multiple delivery modes that include: