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Machine Learning Course (Duration : 8 Weeks)

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.

Machine Learning Course Key Highlights

Machine Learning Course Bangalore | Machine Learning Training Bangalore | Machine Learning Institute | Machine Learning: It is the basic part of artificial intelligence which helps to attempt in data analyzing, by getting certified from leading and top machine learning institute, candidates become expert in delivering desired results in the career endeavors. NearLearn is one of the best machine learning course providers with high-quality standards and real-time projects which makes candidates professional and achieve confidence in getting their dream job.

  • 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!
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.

Who should take the Machine Learning Course?

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

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 Curriculum

Introduction to Data Science with AI Preview

  • 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: A preview
  • Lecture1.12 What is Artificial Intelligence & its importance.

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

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

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.]

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

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

Case Study and Projects

Lecture7.1 Real life cases with Python

Assignments

Lecture8.1 Students would be given challenging real life cases to solve – just to augment their learning skills.

Course Schedule
Course ID
Course Name
Date
Price

1
AI & Machine Learning
01/01/2024
Rs 30000
2
AI & Machine Learning
01/01/2024
Rs 30000
 
Sample Certificates

 IABAC Certificate

AI & Machine Learning Video

Programming Languages & Tools Covered

Why NearLearn?

Experience Elevated Learning

Expert Guidance, Industry Insights

Tailored Learning Paths

Career Development Support

Flexible Learning Options

Industry-Aligned Certifications

Community Engagement

Unparalleled Support

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