STARTS: 7th of September
ENDS: 9th of October
TIME: 10am – 1pm
SCHEDULE: Mon, Wed
Course Overview
Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.
Prerequisites
Knowledge of python Programming
Course Curriculum
| Introduction to Data Science | |||
| Data Extraction, Wrangling, & Visualization | |||
| Introduction to Machine Learning with Python | |||
| Dimensionality Reduction | |||
| Association Rules Mining and Recommendation Systems | |||
| Reinforcement Learning | |||
| Time Series Analysis | |||
| Model Selection and Boosting |
Training Features
- Instructor-led Live Sessions
- Real-life Case Studies
- Assignments
- Lifetime Access
- 24 x 7 Expert Support
- Certification
Course Objectives
Certificate
FAQs
What are the system requirements for this course? Operating System: Windows 7 or higher, Mac OS.
Processor: Intel Pentium 4 or higher.
Memory: 4GB recommended.
Screen resolution: 1280 x 1024 or larger.
Application window size: 1024 x 680 or larger.
What if I miss a class? You will never miss a lecture at HiiT Online Training! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session in any other live batch.
Can I attend a demo session before enrollment? We always keep limited number of participants in a live session to maintain the Quality Standards. But, unfortunately participation in a live class without enrolment is not possible.
Who are the Instructors? Our Instructors are in-house professionals at least 5 years of relevant experience in various domains. They are subject matter experts and are trained to provide a great learning experience.
Course Reviews
No Reviews found for this course.
