25 Data Science & Machine Learning Projects + Virtual Intern
Published 07/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.7 GB | Duration: 112 lectures • 24h 56m

What you'll learn
Learn Model Deployment on Amazon Web Service(AWS), Google Cloud(GCP), Microsoft Azure, Heroku, Flask API, Streamlit
Learn how to build machine learning model with algorithms
Understand the implementation of machine learning algorithms
Become confident in explaining data science code during interviews
Build your own Deep learning algorithm
Build your own Neural Network
Build your own Computer Vision Apps
Build your own Natural Language Processing(NLP) Apps
Do Virtual Internship and Hackathons

Requirements
This is a projects based course for Data Science and Machine Learning
Although this course is taught right from the very basics to advanced, having a basic knowledge of Python and Machine Learning is recommended.
Users can understand the concepts from: The Full Stack Data Scientist BootCamp® course on Udemy

Description
Since 2016, Data Science has remain the sexiest and the most sort after career in the world.

Data Scientist command huge salaries and many companies spend most of their budget hiring skilled Data Scientist to optimize their products.

Over the past 2-3 years, getting a Data Science job has become very competitive due to its lucrative salaries and working conditions. A lot more people now desire to be Data Scientist than any other field making the field even more competitive.

Recruiters have changed their strategies of recruiting candidates for Data Science roles.

Hiring managers have shifted their focus from just certificate qualification of applicants to considering their portfolio and projects.

The only way to get ahead of the competition is to build a stunning portfolio that will catch the attention of recruiters of your skillset. There is no better way to make recruiters know that you are the right candidate than showing your project portfolio.

In this course, you will learn along the carefully selected projects and practice to really understand how the various Machine Learning algorithms are implemented. Also practicing alongside will aid you to be in control and explain the concepts during your interview sessions.

You will watch the instructor build awesome projects and then you will have project assignments to also practice on your own and submit for instructor to check for you.

The projects are carefully selected from different domains to cater for the diversity of the work you will be doing when employed.

We have categorized the projects into beginner level, intermediate level and advanced level.

Who this course is for
Anyone who wants to understand the concepts on Data Science and Machine Learning
Anyone who wants to pass their Data Science interviews easily
Anyone who wants to build strong Data Science and Machine Learning portfolio to get hired
Anyone who is interested to become a Full Stack Data Scientist
Any student who want to enter the field of Data Science after college
Anyone interested in the field of Artificial Intelligence
Anyone interested in the field of Computer Vision
Anyone interested in the field of Natural Language Processing
Anyone enrolled in other course and finding it difficult to understand the concepts
Anyone who wants to practice the concepts in Data Science and Machine Learning

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