Machine Learning for Beginners

Like to understand how machine and humans work together, nothing better than an ML course for it.

Estimated Duration

Min. 2 Week

Tools & Skills Covered

6+

Number of Projects

1

Assessment & Certifications

Yes

COURSE OVERVIEW

In this course, you will enter into level 1 of machine learning. The course includes decision trees, artificial neural networks, support vector machines, Probabilistic Learning, the Hidden Markov Model, Clustering, Genetic Algorithms, and many more concepts with practical examples. You work on a project at the end of the course with an interesting problem statement. Let’s get into the videos with no further delay!

TOOLS & SKILLS COVERED

NEED OF THE HOUR

Demand Growth

80% – 90%

Average Salary

3 – 4 Lakh

Learners

200+

Python for Machine Learning Course | Skillhie.com

Course Content

Expand All

Projects and Live Examples in the course, that helps you apply what you have learnt.

Color Detection using CNN & Python

To be able to detect, the colors of the product. Secondary task is to recognize given colors in image or video

Data Analysis

You will be learning many other Machine Learning Algorithms for Data analysis.

Several Python Code Snippets

This course includes several code snippets to get hands-on practice.

Sample Certificate

Top companies in need of this skills

Testimonials

Joshna M
Joshna M
Machine Learning Student
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My journey from a beginner to an expert in ML and Al was a steady but progressive one, the courses have a great connectivity and one should go step by step to to achieve success.
Ria Jain
Ria Jain
SkillHie Member
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I had learned a few skills here and there before joining the course but after taking the advance courses my skills have been polished and I am more confident on my ML and Al knowledge.
Abigna Gupta
Abigna Gupta
Skillhie Member
Read More
Being a CSE student we don't usually get adequate skills required to us at our college level, but here in Skillhie I have learned so much on ML that I am pretty confident about my future.
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