Software Training Institute in Chennai with 100% Placements – SLA Institute

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Machine Learning Course in OMR

(3672)
Live Online & Classroom Training
EMI
0% Interest

Our Machine Learning Training in OMR is perfect for anyone interested in learning about artificial intelligence. In this course, you will explore key machine learning concepts and tools. You’ll learn how to create algorithms that help computers learn from data and make predictions. With hands-on projects and real-world examples, you will gain practical experience in areas like supervised and unsupervised learning, data preparation, and testing models. We focus on popular programming languages like Python and useful libraries such as TensorFlow and Scikit-learn. By completing our Machine Learning Course in OMR with Certifications and Placements, you will acquire the skills needed for a successful career in data science and analytics. Join us to take your first step into the exciting field of machine learning!

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our Machine Learning Course Syllabus covers all essential topics, providing you with a comprehensive understanding of Machine Learning.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
November 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
November 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Machine Learning Course in OMR

The Machine Learning Course in OMR aims to help you become proficient in Machine Learning. Throughout the course, you’ll:

  • Understand Basics: Learn the key concepts of machine learning, including types like supervised, unsupervised, and reinforcement learning.
  • Explore Algorithms: Get familiar with different machine learning algorithms, such as decision trees and neural networks.
  • Learn to Code: Build skills in programming languages commonly used in machine learning, like Python and R.
  • Prepare Data: Learn how to clean and prepare data, including handling missing values and normalizing data.

Train Models: Discover how to train machine learning models and check their performance to make improvements.

Future Scope of Machine Learning Course in OMR

Growing Demand for Machine Learning Professionals

The future of Machine Learning looks bright as more industries like healthcare, finance, and retail are adopting machine learning (ML) to improve their processes. This increasing need creates many job opportunities for those skilled in ML, making it a promising field to enter.

Wide Range of Career Opportunities

Completing our Machine Learning Course in OMR can lead to various roles such as Machine Learning Engineer, Data Scientist, or AI Specialist. These jobs are in demand across many industries like healthcare, marketing, and technology, offering diverse career paths for graduates.

Link to Emerging Technologies

Machine learning is closely connected to other cutting-edge technologies like AI, big data, and the Internet of Things (IoT). As these technologies grow, ML will continue to be essential in improving automation and smart systems, ensuring a steady demand for ML experts.

Lifelong Learning and GrowthMachine learning is constantly evolving, so it’s important to keep learning new techniques and tools. Our Machine Learning Training in OMR gives students the basics, but professionals will need to stay updated to advance in their careers. Continuous learning can help lead to higher positions like Senior Data Scientist or AI Architect.

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Project Practices on Machine Learning Training

Project 1Stock Price Prediction

Create a model that uses past stock prices to predict future values. This project helps you learn about analyzing data over time and forecasting trends in the stock market.

Project 2Fraud Detection System

Build a model that can spot fraudulent transactions using financial data. This project focuses on techniques to find unusual patterns, improving security in transactions.

Project 3House Price Prediction

Develop a model that estimates house prices based on features like location, size, and amenities. This project helps you understand how different factors affect real estate prices.

Project 4Health Monitoring System

Use machine learning to predict health outcomes based on patient data. This project shows how data can help make better decisions in healthcare and improve patient care.

Prerequisites for learning Machine Learning Course in OMR

To join our Machine Learning Training in OMR at SLA Institute, no specific prior knowledge is required. Whether you’re new to programming or have some experience, everyone is welcome. However, having a foundational understanding of the following can be beneficial:

  • Basic math skills: Understanding of linear algebra, calculus, and probability is helpful.
  • Programming experience: Familiarity with Python or other programming languages will ease coding tasks.
  • Statistics basics: Knowing basic statistics helps in understanding algorithms and models.
  • Data handling knowledge: Experience with data manipulation using tools like Excel or SQL is useful.
  • Problem-solving skills: A logical approach to solving problems is key in machine learning.

Our Machine Learning Course in OMR is ideal to:

  • Students eager to excel in Machine Learning 
  • Professionals considering transitioning to Machine Learningcareers
  • IT professionals aspiring to enhance their Machine Learningskills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in Machine Learning 

Job Profile in Machine Learning Course in OMR

In the Machine Learning Course in OMR at SLA Institute, participants gain key skills for building enterprise applications and managing data, preparing them for software development roles.

Machine Learning Engineer

  • Responsibilities: Design and implement machine learning models, optimize algorithms, and deploy solutions in production environments.
  • Salary: ₹6,00,000 to ₹12,00,000 per year.

Data Scientist

  • Responsibilities: Analyze large datasets, build predictive models, and derive insights to guide business decisions and strategies.
  • Salary: ₹8,00,000 to ₹15,00,000 per year.

AI Research Scientist

  • Responsibilities: Conduct research on new algorithms and techniques in artificial intelligence and publish findings to contribute to the field.
  • Salary: ₹10,00,000 to ₹18,00,000 per year.

Data Analyst

  • Responsibilities: Collect and process data, perform exploratory data analysis, and create reports to support data-driven decision-making.
  • Salary: ₹4,00,000 to ₹8,00,000 per year.

Business Intelligence Developer

  • Responsibilities: Design and develop BI solutions, create dashboards, and provide data visualization to help stakeholders make informed decisions.
  • Salary: ₹5,00,000 to ₹10,00,000 per year.

Deep Learning Engineer

  • Responsibilities: Develop deep learning models, work with neural networks, and implement solutions for tasks like image and speech recognition.
  • Salary: ₹7,00,000 to ₹14,00,000 per year.

These roles reflect the diverse career opportunities available for professionals with Machine Learning training, each offering unique responsibilities and competitive salaries.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Machine Learning Course FAQ

What is Machine Learning?

Machine learning is a part of artificial intelligence that helps computers learn from data and get better over time without needing specific instructions. It’s used in things like recommendations and recognizing images.

Is Machine Learning easy or hard?

Machine learning can be easy or hard, depending on what you already know. The basics are usually simple to understand, but advanced topics can be tricky and may need good math and programming skills.

What is Machine Learning used for?

Machine learning teaches computers to learn from data so they can make predictions and better decisions. It’s used in things like voice recognition, image processing, recommendation systems, and self-driving cars.

Is Machine Learning enough to get a job?

Knowing Machine Learning is helpful but may not be enough to get a job. Employers usually want a mix of skills, including experience with other technologies and teamwork abilities.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.

Is Machine Learning good career?

Yes, a career in machine learning is promising. There is a high demand for skilled professionals in this field, leading to good job opportunities and competitive salaries. It’s a growing industry.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

On Average Students Rated The Machine Learning Course 4.90/5.0
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