Download Data Science & Machine Learning Projects + Virtual Intern

What you would learn in Data Science & Machine Learning Projects + Virtual Intern course?

Since the year 2016, Data Science has remained the most attractive and sought-after profession across the globe.

Data scientists command huge salaries and many businesses spend most of their budgets hiring experienced Data scientists to optimize their products.

Over the last couple of years, finding a Data Science job has become highly competitive due to the lucrative pay and working conditions. More people are looking to become Data scientists than in any other profession, which makes the field more competitive.

How recruiters approach, their work has changed in attracting candidates to Data Science roles.

Hiring managers have shifted their attention from merely certifying certification of applicants to looking at their portfolios and projects.

The only method to be ahead of your competition is to develop a spectacular portfolio that draws the attention of potential employers of your abilities. There's no better way to let recruiters know you're the perfect candidate than to show them your work portfolio.

This course will help you be taught by carefully selected projects and work on your ability to grasp how Machine Learning algorithms are implemented. Additionally, practicing with others will help you to stay in control and be able to explain the concepts in your interview.

You'll watch the instructor develop unique projects. Then, you will receive project assignments to work on at your own pace and submit to your instructor to verify for you.

These projects have been carefully chosen from various fields to provide for the diverse nature of tasks you'll be carrying out while employed.

Content of the Course:

• Learn Model Deployment for the Amazon Web Service(AWS), Google Cloud(GCP), Microsoft Azure, Heroku, Flask API, Streamlit
• Learn how to create an algorithm-based machine learning model using algorithms.
• Learn about the use of machine learning algorithms.
• Be confident when explaining the data science code in interviews
• Create your Deep-learning algorithm
• Create yourself your very own Neural Network
• Create the perfect Computer Vision Apps
• Create your own natural Language Processing(NLP) apps
• Do virtual internships and Hackathons

Download Data Science & Machine Learning Projects + Virtual Intern from below links NOW!