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All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
About the course
About the Machine Learning Course using Python
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.
What are the pre-requisites for this Machine Learning Course?
The pre-requisites for the Machine Learning Certification Training using Python includes development experience with Python. Fundamentals of Data Analysis practised over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enrol for the course
What are the system requirements for our Machine Learning Certification Training using Python?
You don’t have to worry about the System Requirements as you will be doing your Practical on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.
1. Instructor-led Live Sessions - 36 Hours Online Live Instructor-led classes. Weekend and Weekdays classes are available.
2. Real-life Case studies - Live project based on any of the selected use cases, involving implementation of Data Science with Python.
3. Assignments - Every class followed by practical assignment minimum of 40 hours
4. Life time access for learning management system
5. 24x7 Expert support
6. Certification & Forum
Curriculum Summary -
1. Data Extraction, Wrangling, and visualization
2. Introduction to Machine Learning with Python
3. Supervised Learning 1
4. Dimensionality Reduction
5. Supervised Learning II
6. Unsupervised Learning
7. Association Rules Mining and Recommendation System
8. Reinforcement learning
9. Time Series Analysis
10. Model selection and boosting
11. In-Class Project