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Best Machine Learning Course in Bangalore with Placement |Machine Learning Training
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Best Machine Learning Training in Bangalore

Discover the full potential of Machine Learning with our comprehensive training program in Bangalore. Led by experienced industry professionals, our course is designed to give you the skills & knowledge you need to excel in the field. Join now and take your career to the next level with the best Machine Learning training in Bangalore.

Program Overview

🎯 Who Should Enroll?

  • Tech Professionals that want to specialize in AI.
  • University Graduates willing to venture into the AI world, Analysts and Developers seeking a career shift and Innovators compelled to learn intelligent technologies.

⏱️ Time Commitment

  • 24-Week Program (6 months) with Weekly Flexible Schedule of 8-10 hours of activity.
  • Practical Focus, that includes a required capstone project.

🏆 Career Transformation

  • Earn an Industry-Rewarded Portfolio.
  • Learn Job-Ready Machine Learning Skills, become a Professional, and get Fireside Lateral Pull.

Course Description

1. Machine Learning Course Key Highlights

Our Machine Learning Courses are well crafted and designed for candidates for all backgrounds and experiences.
Our all trainers are coming from industries and they hold a lot of experience in the technical domains.
We are very much focused on practical training that converts you to perform your own.
We have designed tasks in such a manner that it will create interest in your classroom study.
Machine Learning Programmed Completion from Industry trusted Certificate. Boost your Profession with the Certificate!

2. Why Machine Learning Course in NearLearn?

Bangalore is one of the Information Technology hubs for many software developers, where many startups and large enterprises are established with the latest technologies. Getting certification in top-rated Machine learning training in Bangalore will boost your career into the next level.
NearLearn is located in Bangalore and has trained thousands of students and holding years of experience in professionally providing training.Our industry experts teach and train you cutting edge machine learning techniques with python from fundamental to advance level.
We Provide Best Machine Learning Training in Bangalore, as per the modern industry standards. Our coaching plans will allow professionals to achieve placements. We are one of the Top Machine Learning Training Institute in Bangalore that contributes hands-on practical experience / practical attempt on live projects and will guarantee the job with the guidance of advance level Machine Learning Courses. At NearLearn Machine Learning Training in Bangalore is wielded by expert serving certified experts having 10+ years of expertise in performing real-time Machine Learning designs.

3. Who should take the Machine Learning Course?

Whenever an application involves reasoning or decision making, but not prediction, then core AI is used:

The Machine Learning training in Bangalore will make the candidate professional, for this role requires the perfect amalgam of experience, data science knowledge, and using the correct tools and technologies. It is a good career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue this Program a basic understanding of 10+2 level mathematics and programming will be an added advantage, including:
Any Fresher or Jobseeker who has 10+2 level mathematics and basic programming knowledge.
Students in UG/ PG Programs with 10+2 level mathematics and basic programming knowledge

4. Machine Learning Training Requirements

Computer skills, Basic knowledge of Mathematics and Basic knowledge of Data Science concepts.
Contact us today and Get Machine Learning Certification in Bangalore.
Reach us at +91-9739305140, If you are looking for Best Machine Learning Course Training in Bangalore

Course Certificate

Deep Learning Course Certificate

Upon completion of all modules and passing the final assessment, you'll receive this professional certificate recognized by industry leaders.

Preview Certificate

Machine Learning market to expand rapidly, powering data-driven innovation across industries and transforming business intelligence worldwide.

“Global Machine Learning market expected to surpass $500 billion by 2030."

“Machine Learning will drive the majority of AI-based enterprise value creation over the next decade.”

Trending Career Opportunities in Machine Learning

Machine Learning Engineer Senior Machine Learning Engineer Applied Machine Learning Scientist Data Scientist (ML-focused) Deep Learning Engineer NLP Engineer (ML-based) Computer Vision Engineer MLOps Engineer AI/ML Solutions Architect Recommendation Systems Engineer Lead Machine Learning Engineer
Admissions open

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Program Pedagogy

Expert-Led Training

Live, interactive training by senior AI experts and business veterans.

Mentorship

Intensive One-on-One: 1:1 bespoke advice to resolve doubts and customized career advice.

Practical Project Focus

Intensive projects and Real-World Capstone Projects to practice acquired skills.

Collaborative Learning

Moderated peer networking, discussion groups, and team challenges in order to increase professional networks.

Flexible Self-Paced Content

The ability to access a large library of recorded lectures and resources and revise and master

Simulated Environments

Game-based learning modules to address real world issues arising within a complex setting.

Machine Learning Course Curriculum

Module 1: Introduction to Data Science With Artificial Intelligence
  • Lecture1.1 Data science & its importance
  • Lecture1.2 Key Elements of Data Science
  • Lecture1.3 Data Warehousing
  • Lecture1.4 Business Intelligence
  • Lecture1.5 Data Visualization
  • Lecture1.6 Data Mining
  • Lecture1.7 Machine Learning
  • Lecture1.8 Artificial Intelligence
  • Lecture1.9 Cloud Computing
  • Lecture1.10 Big Data
  • Lecture1.11 Artificial Intelligence
  • Lecture1.12 What is Artificial Intelligence & its importance
  • Lecture1.13 Artificial Intelligence vs Machine Learning
Module:2 Introduction to Machine Learning
  • Lecture2.1 What is Machine Learning (ML)?
  • Lecture2.2 How machines learn
  • Lecture2.3 Types of learning: Supervised, Semi-supervised, Unsupervised, Reinforcement
  • Lecture2.4 Basics of Classification, Regression and Clustering algorithms
  • Lecture2.5 Creating your first Prediction Model
  • Lecture2.6 Training & Model evaluation
  • Lecture2.7 Choosing Machine Learning algorithm
Module 3: Back to Basics (MATHS WITH STATISTICS)
  • Lecture3.1 A quick refresh on basic intermediate maths
  • Lecture3.2 Linear Algebra (Vectors, Matrix, Eigen Values)
  • Lecture3.3 Probability and Statistics
  • Lecture3.4 Hypothesis testing
  • Lecture3.5 Optimization
Module 4: Python for Data Science
  • Lecture4.1 A quick crash course on basics of Python
  • Lecture4.2 Python Object and Data Structure
  • Lecture4.3 Python Comparison Operators
  • Lecture4.4 Python Statements
  • Lecture4.5 Methods and Functions
  • Lecture4.6 Milestone Project – 1
  • Lecture4.7 Object-Oriented Programming
  • Lecture4.8 Modules and Packages
  • Lecture4.9 Errors and Exception Handling
  • Lecture4.10 Milestone Project – 2
  • Lecture4.11 Built-in Functions
  • Lecture4.12 Python Decorators
  • Lecture4.13 Python Generators
  • Lecture4.14 Final Capstone Python Project
  • Lecture4.15 Advanced Python Modules
  • Lecture4.16 Advanced Python Objects and Data Structures
  • Lecture4.17 Advanced OOP
  • Lecture4.18 Parallel Processing
  • Lecture4.19 Python Packages [Statsmodels, Sci-kit Learn, Scipy, Numpy, Pandas, Matplotlib, Seaborn, etc.]
Module 5: Data processing for Machine Learning
  • Lecture5.1 Data Collection & Preparation
  • Lecture5.2 Data Mugging
  • Lecture5.3 Outlier Analysis
  • Lecture5.4 Missing value treatment
  • Lecture5.5 Feature Engineering
  • Lecture5.6 Data Transformation
  • Lecture5.7 Normalization vs Standardization
  • Lecture5.8 Creating Dummies
  • Lecture5.9 Dimensionality Reduction
  • Lecture5.10 Principal Component Analysis
Module 6: Advanced Machine Learning Algorithms
  • Lecture6.1 Supervised Machine Learning algorithms
  • Lecture6.2 Linear Regression
  • Lecture6.3 Logistic Regression
  • Lecture6.4 Decision/Classification
  • Lecture6.5 Tree Ensemble Models
  • Lecture6.6 Bagging
  • Lecture6.7 Boosting
  • Lecture6.8 Random Forest
  • Lecture6.9 K-Nearest Neighbours (KNN)
  • Lecture6.10 Naive Bayes
  • Lecture6.11 Neural Network (Deep Learning)
  • Lecture6.12 Support Vector Machine
  • Lecture6.13 Unsupervised Machine Learning algorithms
  • Lecture6.14 Clustering with K-means Clustering
  • Lecture6.15 Bias-Variance Trade off
  • Lecture6.16 Regularization
  • Lecture6.17 Parameter tuning & grid search optimization
Module 7: Case Study and Projects
  • Lecture7.1 Real life cases with Python
Module 8: Assignments
  • Lecture8.1 Students would be given challenging real life cases to solve – just to augment their learning skills.

What You'll Create

📁 Real-Time Projects

📝 Assignments

🎓 Certificate of Completion

Download Complete Curriculum

Top Hiring Industries and Companies

These sectors are currently hiring the most ML professionals, and these companies are actively recruiting them.

Industry & Companies

Frequently Asked Questions ML

core ai faq image
01
What is Machine Learning and why it is important?
+
Machine Learning is a part of artificial intelligence that develops the ability of machines or devices to perform automatically without explicit programs. This has the ability to improve from previous data and learn from experience. The machine learning mainly focused on computer programs that can access data and apply it to learn on own.
Applying Machine Learning in business operation saves time and money that it has the potential to control the automation of process and impacts on the future of the companies. The latest technology such as machine learning involves in the customer care industry, as it allows peoples to get things done more rapidly and effectively. It has features like virtual assistants, natural language processing to operate the automation that responds to every query of customers and increases retention.
02
How Business can take advantage of Machine Learning?
+
The automation technology such as machine learning helps the business to personalize their interaction or conversions with customers and improves sales and produces insights for better productivity. With the help of a machine, learning companies can earn a better income and can save time with data-driven decisions. The core algorithms can help to eliminate dangers and deception, secure totally protected methods and improve customer compensation.
03
Are there any prerequisites for enrolling in the training?
+
No, you don't need to know about machine learning before taking this course. However, a basic understanding of coding and mathematics is recommended to make the most of this training.
04
Does NearLearn provide placements post-completion of the course?
+
Yes, we do provide placements post-completion of the course. We have partnered with some leading companies across industries that hire our graduates based on their skill level and experience. We also provide guidance and support in preparing resumes, attending interviews and getting through aptitude tests if needed.
05
How long does it take to get NearLearn certificates?
+
It typically takes 8-10 weeks to complete our courses, and once you finish the entire program, you'll receive your certificate within 7-10 business days. The certificate is valid worldwide and has immense value when looking for job opportunities in machine learning.

Machine Learning - Powering Intelligent Systems

ML

380,000+ Job Openings

India is projected to see over 380,000+ Machine Learning roles by 2025 as organizations race to adopt data-driven decision systems.

Career Longevity

Machine Learning skills remain future-proof due to their foundational role in AI, analytics, automation, and intelligent products.

34% Market Growth

The Machine Learning market is growing at a CAGR of 34%, driven by demand in fintech, healthcare, e-commerce, and smart systems.

High-Value ML Skills

Skills in Supervised Learning, Deep Learning, NLP, Model Deployment, and MLOps are among the most sought-after globally.

65% Skill Shortage

Over 65% of Machine Learning job roles face hiring challenges due to a lack of hands-on, production-ready professionals.

$9 Trillion Value

Machine Learning alone is expected to drive trillions in economic value by enabling predictive analytics and intelligent automation.

Testimonial

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