infyni

Get Started with Artificial Intelligence and Machine Learning

With our comprehensive live training, you will begin your path into Artificial Intelligence and Machine Learning. Discover the principles of AI and machine learning algorithms, data preparation, model training, and evaluation.

Live Course

Live Class: Tuesday, 05 Mar

Duration: 25 Hours

Enrolled: 2

Offered by: infyni

(2)

Live Course

About Course

Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. Experts claim AI is the Next Industrial Revolution bringing in changes. With every massive change it’s important that children are provided the right education to become ready for an AI Future. Course makes you an innovator and you can build useful apps, entertaining games and create other innovations using AI. Your learning will get reinforced through hands-on lab session. We also have tucked in Session Recordings ,Quizzes, Assignments, and Projects so you get a complete learning support resources throughout the course.

Skills You Will Gain

Data Science Business Problems Analytics Python Data Visualization Machine Learning Python Packages Linear Regression

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • Reviews
  • Introduction to Data Science, ML, DL & AI - why is it so important?
  • Applications of Data science across industries
  • Business problems – Analytics scenarios
  • Analytics
  • Introduction to Python
  • Installation of Python framework and packages: Anaconda and pip
  • Working with Jupyter Notebooks
  • Creating Python variables
  • Need for visual summary
  • Introduction to Seaborn
  • Supervised Learning
  • Unsupervised Learning
  • Data Analysis Packages
  • NumPy
  • SciPy
  • Matplotlib
  • Pandas
  • Slkearn
  • Regression
  • Classification
  • Generalization, Overfitting, and Underfitting
  • Classification
  • Understand how continuous supervised learning is different from discrete learning
  • Code a Linear Regression in Python with scikit-learn
  • Understand different error metrics such as SSE

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