2021 Master Class: Machine Learning Using Google Cloud paid course free. You will learn Comprehensive Course: Python | AI ML Concepts | Supervised & Unsupervised Algorithms | Exploratory Data Analysis (EDA)
- 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)
2021 Master Class: Machine Learning Using Google Cloud Course Requirements
- None. (Python is covered extensively in the course)
2021 Master Class: Machine Learning Using Google Cloud Course Description
Machine learning is a subset of artificial intelligence that is at the forefront of digital transformation in the world.
Because of AI, it is currently conceivable to recognize illnesses, know the defaulters of a credit and know the future deals of an item. Every one of these data can be had proactively and not as an afterward situation. AI and computerized reasoning based jobs are in extraordinary interest in the work market and such jobs offer a more significant compensation than customary programming jobs.
This course covers the ideas of AI just as the utilization of these ideas utilizing contextual analyses and models, alongside a stroll through of the python codes. Python writing computer programs is likewise covered to help the individuals who are new to python and the individuals who need to invigorate a portion of the points in python.
The accompanying calculations are shrouded exhaustively:
Basic and various direct relapse
Choice tree, Random backwoods and XG help
Unaided calculations – Cluster (kNN based) and Hierarchical.
Students will likewise see how to foster the above AI in a cloud climate. They will learn to code in cloud as well as to get to the information put away in cloud. This will be especially useful to students since numerous associations are embracing cloud at a high speed.
A vital part of the course is the inclusion of Exploratory Data Analysis (EDA). EDA covers the arrangement of exercises that you do before you start the ML project.
Finally, how to seek after an AI project has been covered.
This course is educated by an industry veteran, who brings his tremendous encounters and commonsense points of view into the program.
Who this course is for:
- Professionals wanting to shift to ML roles
- ML professionals who are looking for a refresher