2021 Master Class: Machine Learning Using Google Cloud
What you'll learn
- Machine learning concepts
- How to code and access data stored in a cloud environment
- Simple and Multiple Linear Regression
- Logistics Regression
- Decision Tree
- Random Forest
- XG Boost
- Unsupervised Algorithms - Centroid (kNN based) and Hierarchical
- How to go about a ML project
- Python programming
- Exploratory Data Analysis (EDA)
Course content
- Preview02:29
- 07:53Introduction to Colab: Google Cloud Development Environment
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. Python programming is also covered for the benefit of those who are new to python and those who want to refresh some of the topics in python.
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.
A key aspect of the course is the coverage of Exploratory Data Analysis (EDA). EDA covers the set of activities that you do before you start the ML project.
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](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 1,195 Reviews
- 91,276 Students
- 23 Courses
Summary:
Over 2 decades of experience managing Technology, Operations and Quality in top MNCs & startups. Held leadership roles and managed businesses across Asia Pacific & Japan region
Expertise: AI, Six Sigma and Innovation
Key Experiences:
Successfully incubated Centers of Excellence for fraud prevention and service analytics.
Significant experience in design thinking based product development and management. Played a critical role in developing products for emerging markets.
Education & Certification:
B. Tech and Full time MBA from top institutes in India
Certifications in six sigma and project management.
Accolades:
Won global awards in the areas of Customer Experience, Leadership Excellence, Quality and Technology.
Featured in the cover of CIO Review Magazine.
Current Role: Founder & Head of an AI & Automation Startup (SeaportAi).
Board of Studies: Member of the Board of Studies at Loyola College, Chennai, India (a 96 year old institution)