Machine Learning Training

(4.6)
1402 learners
enroll now
Machine Learning Training

Course Features

100% Money back guarantee
Two Real-time Use cases

Real-time Use cases

24/7 Lifetime Support

24/7 Lifetime Support

Certification Assistance

Certification Based Curriculum

Flexible Schedule

Flexible Schedules

One-on-onedoubtclearing

One-on-one doubt clearing

Careerpathguidance

Career path guidance

Machine Learning Course Overview

Mindmajix Machine Learning training will help you develop the skills and knowledge required for a career as a Machine Learning Engineer. You will gain in-depth knowledge on all the concepts of machine learning including supervised and unsupervised learning, algorithms, support vector machines, etc., through real-time industry use cases, and this will help you in clearing the Machine Learning Certification Exam.

Machine Learning Training
demo play

Course Coverage

Prepare for a career in Machine Learning

⚡Learn & practice Machine Learning Concepts

Demonstrate your proficiency in use cases & Lab Assignments
Learn & practice Machine Learning Concepts

Course Completion Certificate

Earn an employer-recognized Course Completion certificate by Mindmajix.

Resume & LinkedIn Profile

Build your portfolio with personalized suggestions.

Mock Interview

Experience real-time interviews with Mindmajix SMEs

Qualify for in-demand job titles

Career support

Plan your career move with Mindmajix's job search.

Work Support

Get assistance in completing project tasks once you are employed.
Learn & practice Machine Learning Concepts

Machine Learning Online Training Content

You will be exposed to the complete Machine Learning Trainingcourse details in the below sections.

Topic-wise Content Distribution

Python Programming

  • Introduction to Python

Anaconda Navigator Download & Installation

  • Anaconda Navigator Download
  • Anaconda Navigator Installation
  • Create environment and download libraries
  • Introduction to jupyter notebook
  • Python Object & Data Structure
    • Numbers
      • Basic Arithmatic
      • Variable assignment
    • String
      • String
      • String indexing and slicing
      • String properties
    • List
      • Lists
      • List method
      • List comprehsions
    • Dictionary
      • Construct Dict
      • Dict Methods
    • Tuples
    • Sets and Booleans
  • Python Statement
    • Intro python state , if elif else
      • introduction to python statements
      • if,elif and else statement part 1
      • if,elif and else statement part 2
    • For loop
      • Introduction to for loops
      • For loop examples
    • While loops , Useful Operators
      • while loop
      • break , cont , pass
      • useful operator part 1
      • useful operator part 2
  • Methods and Function
    • lambda expression , nested statemet
      • map and filter
      • lambda expression
      • nested statement part 1
      • nested statement part 2
      • methods
      • functions part 1
      • functions part 2
      • list compressions
  • OOPs
    • OOPs basics
    • OOPs inheritance
    • OOPs polymorphism
  • Python Libraries
    • Numpy
      • Creating array
      • Using arrary and scalers
      • Indexing arrays
      • Array transposition
      • Universal array functions
      • Array processing
    • Pandas
      • Series
        • Index objects
      • Reindex
      • Drop entry
      • Selecting entries
      • Data alignment
      • Rank and sort
      • Missing Data
    • Matplotlib
    • Seaborn
      • Seaborn categorical plots part 1
      • Seaborn categorical plots part 2
      • Seaborn categorical plots part 3
      • Seaborn distribution plot part 1
      • Seaborn distribution plot part 2
      • Seaborn regression plot
      • Seaborn style and color

What is Machine Learning

  • Machine Learning application
  • Machine learning Process
  • How to become a machine learning engineer
  • Pattern Recognition

Artificial intelligence

  • What is AI
  • What is deep learning
  • AI tools and Models

Graphica Models

  • What is PGM
  • MRF

Stats and Prob

  • Introduction to statistic
  • Statistical analysis process
  • Kurtosis
  • Co-relation matrix
  • Statistics practical

Data Pre-Processing

  • Data preparation process
  • Type of Data
  • Feature Scaling

Machine Learning Types

  • Logistic reg
    • Logistic regression Data preprocessing
    • Feture scalling _ model making
    • Visualize training results
  • Multi and poly regression
    • Multiple linear regression
    • Polynomial regression part 1
    • Polynomial regression part 2
  • Simple linear regression
    • Regression data preprocessing
    • Regression model making
    • Supervised learning introduction
    • Linear regression
    • LMS algorithm
    • Objective and application of linear regression
    • Multiple and polynomial regression
    • Logistic regression
    • Objective and model eval
    • Intro unsupervised learning
    • Semi-supervised and important consideration

KNN

  • KNN practical
    • KNN Data preprocessing
    • KNN modeling
    • Visualize KNN model

Decision Tree

  • dt classifier
    • Decison tree Classifier
    • Visualize the DT
  • dt regressor
    • step 1 making DT regression
    • step 2 DT Structure
  • RF practical
    • RF practical part 1
    • RF practical part 2
  • Decision tree regression
  • Decision Tree Classification
  • Random Forest

SVM

  • SVM introduction
  • SVM Mathematics
  • Non-linear SVM

Clustering Analysis

  • Clustering Introduction
  • K-means theory
  • k-means Mathematical
  • kmeans practical part 1
  • kmeans practical part 2

ANN

  • Rise of artificial neuron
  • Introduction to ANN
  • Perceptron
  • Activation Functions
  • Feed forward Neural networks
  • Cost function in neural network
  • Back-propagation neural network
  • Introduction to CNN
  • CNN arch and Convolutional layer
  • Pooling layer and fully connected layer
  • RNN introduction
  • Recurrent neurons
  • Various configuration of RNNs
  • Training recurrent neural network
  • Tensorflow Introduction
  • Computationsl Graph
  • ANN practical
    • Intro to ANN
    • Part 1 data preprocessing
    • Part 2 building ANN
    • Part 3 testing ANN
  • CNN Practical
    • Import libraries
    • Part 1 data preprocessing
    • Part 2 Building the CNN
    • Part 3 Training CNN
    • Part 4 making a single prediction
  • RNN practical
    • Part 1 data preprocessing
    • Part 2 Building RNN
    • Part 3 testing the model

NLP

  • Basics of NLP
  • NLP application
  • Feature extraction
  • Gaussian NB
  • NLP practicals
    • NLP practical part 1
    • NLP practical part 2
    • NLP practical part 3

Reinforcement Learning

  • Rf intro
  • Case study overview
  • Bellman eq
  • MDP
  • Q-learning
  • Dynamic programming
  • Q-learning practical
    • Q-learning practical part 1
    • Q-learning practical part 2
    • Q-learning practical part 3

free

Add-ons

Most of the Machine Learning Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.

Agile & Scrum

Hands on Machine Learning Projects

Our Machine Learning Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

    logoTraining Options

    Choose your own comfortable learning experience.

    Best Value

    On-Demand Training

    30 hrs of Self-Paced Videos

    • 30 hours of Machine Learning Training videos
    • Curated and delivered by industry experts
    • 100% practical-oriented classes
    • Includes resources/materials
    • Latest version curriculum with covered
    • Get one year access to the LMS
    • Learn technology at your own pace
    • 24x7 learner assistance
    • Certification guidance provided
    • Post sales support by our community

    $ 160

    $ 200

    Get Full Access

    Preferred

    Live Online (Instructor-Led)

    30 hrs of Remote Classes in Zoom/Google meet

    2025 Batches

    Start - End

    Local Time

    Weekend

    Oct 18 - Nov 02

    07:00 PM

    Weekdays

    Oct 21 - Nov 05

    07:00 PM

    Weekend

    Oct 25 - Nov 09

    09:00 AM

    Weekdays

    Oct 28 - Nov 12

    09:00 AM

    Customize your schedule here

    + Includes Self-Paced
    • Live demonstration of the industry-ready skills.
    • Virtual instructor-led training (VILT) classes.
    • Real-time projects and certification guidance.

    $ 430

    $ 537

    For Corporates

    Empower your team with new skills to Enhance their performance and productivity.

    Corporate Training

    • Customized course curriculum as per your team's specific needs
    • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
    • Resources such as slides, demos, exercises, and answer keys included
    • Complete guidance on obtaining certification
    • Complete practical demonstration and discussions on industry use cases
    Learn MoreContact us

    Served 130+ Corporates

    Corporate Clients

    Machine Learning Certification

    Passing Machine Learning Quizzes & Assessment exams is mandatory to attain the Machine Learning Course Completion certificate

    • An Industry-recognized certificate by Mindmajix.
    • Shareable certificate - add to your LinkedIn profile

    Shall I appear for Machine Learning certification exam after completion of Machine Learning course?

    Our Machine Learning course covers all the topics that are required to clear Machine Learning certification. Trainer will share Machine Learning certification guide, Machine Learning certification sample questions, Machine Learning certification practice questions.
    MindMajix certificate
    Zoom

    Machine Learning Instructor

    Learn from the certified and real time working professionals.

    instructor

    Training by

    Abhishek , having 7+ yrs of experience

    Specialized in:AI & Machine Learning, Python, Data Science

    Passion towards teaching made Abhishek share the industrial experience he has got for further generations. He has got a total of three years into the real-time industrial background and has trained over 520+ students.

    User Testimonials
    Everyone from start-ups to large enterprises prefer Mindmajix
    Explore all Learners stories
    Naresh Kumar

    I have joined for the Machine Learning Training course at MindMajix. I must say a great amount of knowledge has been delivered by the trainer, which helped me to gain a strong knowledge of the subject. Thank You MindMajix.

    Naresh Kumar

    Stamford, Connecticut

    Rating: 4 ⭐

    • Naresh
    • KRUTI
    • Karthik
    • Abhiudaya
    • Vishwas
    • Baswaraj
    • AJ
    • Jenn
    • GopalRathinam

    Machine Learning Training Resources

    Interview Questions

    Interview Questions

    Access comprehensive interview questions and answers to prepare for your next job opportunity. Practice with real-world scenarios and expert tips.

    Try it out
    Resume Templates

    Resume Templates

    Download professional resume templates tailored for industry roles. Includes sample resumes, formatting guidelines, and best practices.

    Try it out
    Practice Quiz

    Practice Quiz

    Test your knowledge with our interactive quizzes. Features multiple-choice questions, instant feedback, and detailed explanations.

    Try it out

    logoOn-Job Support Service

    Online Work Support for your on-job roles.

    jobservice
    @Learner@SME

    Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

    • Pay Per Hour
    • Pay Per Week
    • Monthly
    Learn MoreContact us

    Machine Learning Training FAQs

    Course Objectives

    Upon course completion, the candidate will be able to:

    • Describe Machine Learning(ML) and its concepts
    • Gain insights into the roles played by a Machine Learning Engineer
    • Discuss various ML algorithms and their implementation
    • Validate ML algorithms

    Why should you learn Machine Learning to grow your career?

    • Harvard Business Review endorses Machine Learning as the hottest job for today’s digital world due to its remarkable achievements in the R&D (Research and Development) sector.
    • Most top-rated organizations are seeking Machine Learning professionals and offering high payouts.
    • According to Indeed.com, on average, a Machine Learning professional earns $110,304 per annum.

    Who should learn Machine Learning?

    Machine Learning is being used by most among the world leading organizations. This training is the perfect choice for:

    • Analytics managers
    • Developers
    • Business Analysts
    • Information architects 
    • Graduates aiming to build a machine learning career

    What are the prerequisites for the Machine Learning course?

    The participants of our training should have:

    • Familiarity with Python Programming fundamentals
    • Fair understanding of Statistics and Mathematics basics

    What will you learn in this Machine Learning training?

    The following are the essential skills that users will gain upon completion of our training course:

    • Representation of an artificial neural network
    • Fundamentals of using data to train machines
    • Logistic regression for classifying data using R
    • Designing of a machine learning system
    • Principle Component Analysis of data modeling
    • Support Vector Machines algorithms
    • Linear regression with multiple variables using R
    More general questions? See our FAQ ↗
    Teams across the globe run on MindMajix
    +
    Learners, Careers Upskilled
    • +
      Courses, Largest LMS
    • +
      Corporates, Global Clients
    STILL GOT QUERIES?

    Get a Live FREE Demo

    • Explore the trending and niche courses and learning maps
    • Learn about tuition fee, payment plans, and scholarships
    • Get access to webinars and self-paced learning videos
    Name
    Course *
    Email *
    Phone Number

    Other Machine learning Courses

    Machine Learning with Python Training
    571130 Hrs.4.8
    Deep Learning with Python Training
    595625 Hrs.4.7

    Data Science CoursesView All