Machine Learning Certification Training with Python
About This Course
Ninjaz Academy’s Machine Learning Certification Training using Python will help you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. This Machine Learning Training will also help you understand the concepts of Statistics, Time Series, and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Python Machine Learning Training, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
In this six-week course, you will dive into the basics of machine learning using the well-known programming language, Python. Get introduced to data exploration and discover the various machine learning approaches like supervised and unsupervised learning, regression, and classifications and more.
Practice exploring and visualizing data using Python and built-in libraries like Pandas, Matplotlib and Scikit. Equip yourself with sought-after machine learning skills to your resume such as regression, classification, clustering and sci-kit learn. Add new projects to your portfolio and a certificate in machine learning to prove your competency.
Key Features:
- Flexible Schedule
- Tailor Made Training
- 24 x 7 Expert Support
- Access to the Recorded Sessions
- Course material prepared by SMEs
- Get certified at an affordable price
- 36 Hours Instructor-led Online Training
- Get key resources from Ninjaz Academy
- Machine Learning sample papers to prepare for your certification exam
- Expert Machine Learning with Python Certified instructors across the globe
Learning Objectives
Requirements
- The pre-requisites for the Python and Machine Learning training course include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.
Target Audience
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'Python' professionals who want to design automatic predictive models
Curriculum
Introduction to Data Science
What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Tools of Data Science
Introduction to Python
Life cycle of Data Science
Data Extraction, Wrangling, & Visualization
Introduction to Machine Learning with Python
Supervised Learning – I
Dimensionality Reduction
Supervised Learning – II
Unsupervised Learning
Association Rules Mining and Recommendation Systems
Reinforcement Learning
Time Series Analysis
Model Selection and Boosting
In-Class Project
Your Instructors
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