Skip to main content

Click on either image to download your desired application

Click on either image to download your desired application

2021 Master Class: Machine Learning Using Google Cloud

2021 Master Class: Machine Learning Using Google Cloud

Preparing you for the AI career!

New

Rating: 4.9 out of 5

4.9  (6 ratings)

1,966 students

Created by Govind Kumar

Last updated 1/2021

English


What you'll learn

  1. Machine learning concepts
  2. How to code and access data stored in a cloud environment
  3. Simple and Multiple Linear Regression
  4. Logistics Regression
  5. Decision Tree
  6. Random Forest
  7. XG Boost
  8. Unsupervised Algorithms - Centroid (kNN based) and Hierarchical
  9. How to go about a ML project


Course content

10 sections • 11 lectures • 2h 45m total length


Requirements

Basic knowledge of Python



Enroll now




Description

Machine learning is a subset of artificial intelligence that is at the forefront of digital transformation in the world. Thanks to machine learning, it is now possible to detect diseases, know the defaulters of a loan and know the future sales of a product. All these information can be had proactively and not as an after the fact scenario. Machine learning and artificial intelligence-based roles are in great demand in the job market and such roles offer a higher salary than traditional programming roles.


This course covers the concepts of machine learning as well as the application of these concepts using case studies and examples, along with a walk through of the python codes.


The following algorithms are covered in detail:


Simple and multiple linear regression


Logistic regression


Decision tree, Random forest and XG boost


Unsupervised algorithms - Cluster (kNN based) and Hierarchical.


Learners will also understand how to develop the above machine learning in a cloud environment. They will learn not just to code in cloud but also to access the data stored in cloud. This will be particularly helpful to learners since many organizations are adopting cloud at a fast pace.


Lastly, how to pursue a machine learning project has been covered.


This course is taught by an industry veteran, who brings his vast experiences and practical perspectives into the program.


Who this course is for:

  • Professionals wanting to shift to ML roles
  • Students
  • ML professionals who are looking for a refresher


Instructor : Govind Kumar

Artificial Intelligence and Business Transformation Expert

Govind Kumar

4.4 Instructor Rating

274 Reviews

32,318 Students

16 Courses

Labels:

Comments

Post a Comment

Popular posts from this blog

Master Coding Interview : Data Structures + Algorithms

  Master Coding Interview :Data structures + Algorithms Ultimate 36 Hour coding interview bootcamp. Get the job you want! Rating: 4.9 out of 5 4.9   (73 ratings) 2,472 students Created by  Jackson Kailath Last updated 03/2022 English What you'll learn Common Data Structures such as Arrays, Hash Table,Linked List,Binary trees,Graphs etc. Real Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft etc. Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve questions Code Implementation in Javascript Requirements Basic knowledge of Javascript or any other Programming language ( things like write a loop, function etc) Enroll now Description Our Students Speak : ⭐️⭐️⭐️⭐️⭐️ The teacher has fantastic ability to transfer understanding of a concept not just pass along his knowledge of the concept.-Liam Bailes ⭐️⭐️⭐️⭐️⭐️ This course is excellent and a great method to learn about Data Structures and Algorithms. It's fantastic for learning...
Post a Comment
Read more

Lean Six Sigma Green Belt Certification and Training

Lean Six Sigma Green Belt Certification and Training Learn Six Sigma Green Belt to apply & Grow in your career! Practical explanation of concepts with examples Rating: 0.0 out of 5 0.0   (0 ratings) 2,878 students Created by : Avinaash Guptaa Published 3/2021 English What you'll learn Helping in building statistical inference-based decision making Analyse and effectively solve problems Improve the ability to confidently discuss complex subjects Upskilling you with data-driven problem-solving ability Gaining the skill to make customer-centric actions at every stage Learning the skill of exploring, analyzing, and solving management problems Improving business understanding by learning the best-improving processes Developing the ability to look further than the present field Provide useful recommendations to other team members Relate Six Sigma theories to the overall business objectives and mission Involve yourself in quality improvement projects Understand and apply th...
Post a Comment
Read more

Google Cloud Professional Data Engineer: Get Certified 2020

Google Cloud Professional Data Engineer: Get Certified 2020 Build scalable, reliable data pipelines, databases, and machine learning applications. Bestseller Rating: 4.2 out of 5 4.2   (274 ratings) 10,560 students Created by : Dan Sullivan Last updated 8/2020 English What you'll learn How to pass the Google Cloud Professional Data Engineer Exam Build scalable, reliable data pipelines Choose appropriate storage systems, including relational, NoSQL and analytical databases Apply multiple types of machine learning techniques to different use cases Deploy machine learning models in production Monitor data pipelines and machine learning models Design scalable, resilient distributed data intensive applications Migrate data warehouse from on-premises to Google Cloud Evaluate and improve the quality of machine learning models Grasp fundamental concepts in machine learning, such as backpropagation, feature engineering, overfitting and underfitting. Requirements Understanding of basic ...
Post a Comment
Read more

Get Traffic for your Website




Contact Form

Name

Email *

Message *

Earn Free CyptoCurrencies from this app

Earn Free CyptoCurrencies from this app
Click on the image to download the app