Machine Learning is one of the hottest career choices today. It is one of the fastest-growing tech employment areas with jobs created far outnumbering the talent pool available.
When you master Machine learning, you will be able to become a Data Scientist, Machine Learning Engineer, Data Engineer, or Applied ML Scientist.
This course will unlock new opportunities and job positions like Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist.
Machine Learning is one of the hottest career choices today. It is one of the fastest-growing tech employment areas with jobs created far outnumbering the talent pool available.
Today, every industry is going gaga after Artificial Intelligence. This makes it ideal to take up a Machine Learning Course.
When you master Machine learning, you will be able to become a Data Scientist, Machine Learning Engineer, Data Engineer, or Applied ML Scientist.
In this course, you will find twelve chapters where you will learn about Statistic & Machine Learning, Capstone Project, Predictive Model Analysis, Parallel Processing & Model Deployment, and Time & Space Complexity.
This is a comprehensive course that will help you gain an in-depth understanding of end-to-end data science.
You will build the foundation of statistics, SQL, Exploratory Data Science, Machine Learning, Visualisation using both Python and Tableau.
You will also have the option of learning R whenever you come across a project that is using R in your career.
Who should take Machine Learning course?
Students BE/BTech/MCS/MCA who aspire to make a career into the growing field of Data Science/AI.
Software professionals who aspire to explore a career in the field of Data Science.
IT professionals with a passion for Statistics, Problem-solving, Machine Learning.
Analytics professionals who want to solve deep problems using a programming language.
Curriculum
Machine Learning is one of the hottest career choices today. It is one of the fastest-growing tech employment areas with jobs created far outnumbering the talent pool available.
Today, every industry is going gaga after Artificial Intelligence. This makes it ideal to take up a Machine Learning Course.
When you master Machine learning, you will be able to become a Data Scientist, Machine Learning Engineer, Data Engineer, or Applied ML Scientist.
In this course, you will find twelve chapters where you will learn about
Statistic & Machine Learning
Capstone Project
Predictive Model Analysis
Parallel Processing & Model Deployment
Time & Space Complexity
Tools you will learn in Machine Learning course
Statistic & Machine Learning
Capstone Project
Predictive Model Analysis
Parallel Processing & Model Deployment
Time & Space Complexity Regression Classifications Clustering NLP