Best Machine Learning Courses in Bangalore

Master machine learning with Python. Learn concepts like Supervised and Unsupervised Learning, Statistics, Data Analysis, Data Visualization, and Computer Vision.

  • Expert-led interactive sessions.

  • 60+ hours of dedicated learning.

  • Key Projects and Certifications.

  • WhatsApp Support Group.

Overview

Our Best Machine Learning Courses using Python are designed with LI-mat softsolution to make you proficient in various machine learning algorithms such as regression, clustering, decision trees, Naïve Bayes, and ensemble techniques. Delve into Statistics and machine learning algorithms like supervised and unsupervised algorithms. You will gain practical insights through real-life case studies in Media, Healthcare, Social Media, Aviation, and HR. Developed by leading faculty and industry experts, our curriculum nurtures you into a skilled professional with deep knowledge of machine learning techniques and algorithms.





Prerequisites:

Anyone interested in the Machine learning domain may register. Basic programming understanding is advantageous. A Python refresher is available for those who need it.

Key Takeaways:

  • Expert-Led Live Interactive Sessions.

  • 60+ hours of dedicated learning.

  • Regular Assignments.

  • Assessment (Quiz/Test).

  • WhatsApp Support Groups.

  • Class Recordings.

  • Internship Grade projects and certification.


Career Opportunities:

  • AI Engineer

  • Machine Learning Engineer

  • Data Analyst

  • Data Engineer

  • Python Developer

  • Machine Learning Developer

  • Machine Learning Software Architect


Course Outcome:

After completing this training, you will have mastered abilities such as:

  • Understanding fundamental machine learning problems and challenges.

  • Recognizing the benefits and drawbacks of various machine learning techniques.

  • Implementing and using various machine learning algorithms in practical applications.

  • Evaluating and improving models generated from data.

  • Understanding the roles of a Machine Learning Engineer.

  • Using Python for data automation.


Why learn Machine Learning?

  • High earning potential, with data scientists earning an average of $144,481 annually.

  • Increasing demand for positions like chief data scientist and chief analytics officer.

  • We expect 11.5 million new jobs in data science by 2026.

  • In India, Machine Learning Engineers earn an average annual income of ₹9,00,000 plus additional benefits.


Skills Covered:

  • Python Programming

  • Data Analysis

  • Data Visualization

  • Statistical Foundations

  • Supervised and Unsupervised Machine Learning

  • Recommender System using Python

  • Optimizing ML Workflow

Who should participate:

Our Machine Learning with Python course is suitable for:
  • College students aspiring to become Machine Learning Engineers.

  • Business Analysts are interested in ML Techniques.

  • Python experts are aiming to create predictive models.

  • Managers overseeing analytics teams.


Is a job in machine learning a good choice?

Machine learning offers numerous opportunities in various industries like healthcare, transportation, banking, and retail. Certification in machine learning can set you apart in this competitive field.


What is the worth of this certification?

Machine learning skills are in high demand, with lucrative opportunities in tech companies. Enroll now to capitalize on the growing demand for machine learning experts.


How do AI and machine learning connect?

AI encompasses machine learning, which enables systems to learn from data and make autonomous decisions. Python and machine learning are powerful combinations that can enhance productivity.


Which organizations employ machine learning engineers?

Top companies like Amazon, Microsoft Azure, Google Cloud, IBM, and Infosys actively seek machine learning talent.


What is machine learning, and what applications does it serve?

Machine learning enables systems to learn from data and make predictions. It finds applications in various industries such as healthcare, transportation, and customer service, improving processes and driving innovation.


 

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