Machine Learning Certification Course

BY
Board Infinity

Learn about numerous machine learning algorithms and gain a thorough understanding of the principles and practices associated with machine learning.

Mode

Online

Duration

1 Week

Fees

₹ 25000 40000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

Machine Learning Certification Course online training is designed by Board Infinity, a virtual learning environment for trainees that would aid them in obtaining excellence and fulfilling their professional goals. Machine Learning Certification Course online training by Board Infinity is for participants who desire to acquire the scientific study of algorithms and statistical models that machine learning utilizes to become professional machine learning engineers.

Machine Learning Certification Course online classes cover a wide range of machine learning topics, including natural language processing, deep learning, supervised and unsupervised learning, artificial neural networks, probability, and statistics, convolutional neural networks, and include more than 40 hours of comprehensive learning, as well as case studies and projects. This course also includes sections on Python, pandas, OpenCV, Numpy, Anaconda, ANOVA, Matplotlib, Seaborn, and other programming languages.

The highlights

  • Certificate of completion
  • Live online course
  • 40 hours of video content
  • Case studies
  • Assignments
  • Projects

Program offerings

  • Online course
  • Mentoring from experts
  • Learning resources. unlimited access
  • Accessible on mobile devices

Course and certificate fees

Fees information
₹ 25,000  ₹40,000
certificate availability

Yes

certificate providing authority

Board Infinity

What you will learn

Machine learning Application of ml algorithms Natural language processing Knowledge of deep learning Knowledge of data visualization Knowledge of python Knowledge of numpy Statistical skills

After completing the Machine Learning Certification Course online classes, participants will gain a thorough understanding of the principles of supervised and unsupervised learning, as well as a thorough comprehension of the core features of machine learning. Participants will learn about several machine learning methods and their capabilities. Participants will learn about Python, Pandas, NumpyMatplotlibSeaborn, Anaconda, Keras, ANOVA, and Tensorflow, as well as other machine learning technologies. Participants will also learn about natural language processing, data wranglingdata visualization, artificial neural network, convolutional neural network, statistics, probability, and hypothesis testing.

The syllabus

Week 1: Introduction to Machine Learning

  • Introduction to Machine Learning
  • Overview of Deep Learning and Artificial Intelligence
  • ML Applications and Real-world problem examples (How is it happening in the companies, Why so much hype, Why companies want it, How is it everywhere)
  • Future Scope and Jobs in Artificial Intelligence
  • Industry Views over Jobs and its Future Scope

Week 2: Statistics and Probability

  • Fundamental of Statistics and its types
  • Hypothesis Testing
  • Fundamentals of Probability
  • ANOVA

Week 3: Fundamentals of Python Programming

  • Introduction to Python Tools
  • Python Fundamentals
  • Python Conditionals and Loops
  • Basic Operation and Operator in Python
  • Python Functions and Classes
  • Solving Basic Programs in Python

Week 4: Advance Python Programming

  • Data Wrangling using NumPy
  • Data Wrangling using Pandas
  • Python for Visualization: Matplotlib & Seaborn
  • Data Wrangling and Visualization on a real-world dataset

Week 5: Classical Machine Learning

  • Introduction to Machine Learning
  • Types of Machine Learning
  • Supervised Learning
  • Unsupervised Learning

Week 6: Natural Language Processing

  • Introduction to NLP
  • Real-world problems in NLP
  • Text Pre-processing

Week 7: Advance Machine Learning

  • Introduction to Deep Learning and Application
  • Artificial Neural Network and Components
  • Introduction to Convolutional Neural Networks
  • Deep-dive into CNN
  • Discussion on top CNN architectures
  • Opencv, applications, and usage

Instructors

Mr Ruble Joseph

Mr Ruble Joseph
Vice President
eClerx

B.E /B.Tech

Mr Mirza Rahim Baig

Mr Mirza Rahim Baig
Lead of Business Analytics
Flipkart Pvt. Ltd.

Mr Kunaal Naik

Mr Kunaal Naik
Marketing Operation Advisor
Freelancer

B.E /B.Tech

Mr Punit Shah

Mr Punit Shah
Data Science Lead
Freelancer

Other Bachelors, Other Masters

Mr Anil Chandra Naidu Matcha

Mr Anil Chandra Naidu Matcha
Co Founder
Freelancer

B.E /B.Tech

Ms Geetanjali Prasad

Ms Geetanjali Prasad
Head Data science
Freelancer

B.E /B.Tech

Mr Rishi Raghuvanshi

Mr Rishi Raghuvanshi
Senior Data Scientist
Freelancer

B.E /B.Tech, M.E /M.Tech.

Mr Dhiman Mandal

Mr Dhiman Mandal
Data Scientist
Ericsson

B.E /B.Tech, M.E /M.Tech.

Mr Pulkit Aneja

Mr Pulkit Aneja
Data Scientist
Amazon

Mr Vedant Dwivedi

Mr Vedant Dwivedi
Deputy Manager
Reliance Jio Infocom...

Mr Kishan Kanhaiya

Mr Kishan Kanhaiya
Data Scientist
Freelancer

B.E /B.Tech

Mr Anurag Mukherjee

Mr Anurag Mukherjee
Senior Analyst
Accenture

B.E /B.Tech

Mr Ravi Teja

Mr Ravi Teja
Co-Founder
Freelancer

B.E /B.Tech

Mr Rajanikant Ghate

Mr Rajanikant Ghate
Data Scientist
Freelancer

B.E /B.Tech, M.E /M.Tech.

Mr Abhishek Dubey

Mr Abhishek Dubey
Data Scientist
Freelancer

Other Masters

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