mobileNavlogo
headerlogo

Machine Learning Training

Rating(4.8) -
Enrolled -
261

Gain essential skills taught by industry experts with our custom tailored curriculum. Work on projects that add weightage to your resume and get job ready.

banner

By taking Machine learning (ML) training from Tekslate, you’ll become an expert in working with Artificial neural networks. This course enables you to gain in-depth knowledge of ML concepts and techniques. It will help you to develop skills on supervised and unsupervised learning and provides hands-on experience in modeling to develop algorithms and mathematical and heuristic aspects. Our curriculum is designed by industry experts based on real-time scenarios. You will get hands-on experience in ML by working on various real-time applications.
 

Highlights

Key Highlights tekslate courses
25 Hrs Instructor Led Training
Key Highlights tekslate courses
Self-paced Videos
Key Highlights tekslate courses
20 Hrs Project & Exercises
Key Highlights tekslate courses
Certification
Key Highlights tekslate courses
Job Assistance
Key Highlights tekslate courses
Flexible Schedule
Key Highlights tekslate courses
Lifetime Free Upgrade
Key Highlights tekslate courses
Mentor Support

Contact Us

By providing us with your details, We wont spam your inbox.

Machine Learning Course Content

1.   Introduction to Data Science

  • What is data science and why is it so important?
  • Applications of data science
  • Various data science tools
  • Data Science project methodology
  • Tool of choice-Python: what & why?
     
  • Installation of Python framework and packages: Anaconda & pip
  • Writing/Running python programs using Spyder Command Prompt
  • Working with Jupyter notebooks
  • Creating Python variables
  • Numeric, string and logical operations
     
  • Writing for loops in Python
  • While loops and conditional blocks
  • List/Dictionary comprehensions with loops
  • Writing your own functions in Python
  • Writing your own classes and functions
     
  • Need for data summary & visualization
  • Summarising numeric data in pandas
  • Summarising categorical data
  • Group-wise summary of mixed data
  • Basics of visualization with ggplot & Seaborn
  • Inferential visualization with Seaborn
  • Visual summary of different data combinations
     
  • Introduction to NumPy arrays, functions & properties
  • Introduction to Pandas & data frames
  • Importing and exporting external data in Python
  • Feature engineering using Python
     
  • Linear Regression
  • Regularisation of Generalised Linear Models
  • Ridge and Lasso Regression
  • Logistic Regression
  • Methods of threshold determination and performance measures for classification score models
     
  • Introduction to decision trees
  • Tuning tree size with cross-validation
  • Introduction to bagging algorithm
  • Random Forests
  • Grid search and randomized grid search
  • ExtraTrees (Extremely Randomised Trees)
  • Partial dependence plots
     
  • The concept of weak learners
  • Introduction to boosting algorithms
  • Adaptive Boosting
  • Extreme Gradient Boosting (XGBoost)
     
  • Converting business problems to data problems
  • Understanding supervised and unsupervised learning with examples
  • Understanding biases associated with any machine learning algorithm
  • Ways of reducing bias and increasing generalization capabilities
  • Drivers of machine learning algorithms
  • Cost functions
  • Brief introduction to gradient descent
  • Importance of model validation
  • Methods of model validation
  • Cross-validation & average error
     
  • Introduction to idea of observation-based learning
  • Distances and similarities
  • k Nearest Neighbours (kNN) for classification
  • Brief mathematical background on SVM/li>
  • Regression with kNN & SVM
     
  • Need for dimensionality reduction
  • Principal Component Analysis (PCA)
  • Difference between PCAs and Latent Factors
  • Factor Analysis
  • Hierarchical, K-means & DBSCAN Clustering
     
  • Gathering text data using web scraping with urllib
  • Processing raw web data with BeautifulSoup
  • Interacting with Google search using urllib with custom user agent
  • Collecting twitter data with Twitter API
  • Naive Bayes Algorithm
  • Feature Engineering with text data
  • Sentiment analysis
     
  • Need and Importance of Version Control
  • Setting up git and GitHub accounts on a local machine
  • Creating and uploading GitHub Repos
  • Push and pull requests with GitHub App
  • Merging and forking projects
  • Introduction to Bokeh charts and plotting
  • Examples of static and interactive data products
     

Machine Learning Training Options

Self Paced Training

  • 30 Hrs of Live Recorded Videos
  • Life-time LMS Access
  • 100% Practical Approach

Online ClassroomRecommended
  • 30 Hrs of Live Training
  • Flexible Timing Options
  • Real-Time Projects
  • Job Assistance
  • Certification Guidance
  • Flexible EMI Options
Weekday

20 Aug, 2022-

20 Sep, 2022

01:30 AM IST
Weekday

23 Aug, 2022-

23 Sep, 2022

01:30 AM IST
Weekend

27 Aug, 2022-

27 Sep, 2022

02:30 AM IST
Weekend

30 Aug, 2022-

30 Sep, 2022

02:30 AM IST

Why Corporates Choose Tekslate For Their Training Needs

Tekslate is the training partner for more than 120+ corporates across the globe having trained over 2000+ professionals. We are a one stop solution for skill upgrade for organizations and individuals to innovate and progress rapidly.

Flexible training options globally

Tailored curriculum to fit your project needs.

Assured practical exposure

We have got everything covered for any IT skill upgrade for your organization. We are just a click away.

zealousys
consagous
codiant
appscrip
promatics
codebrightly

Machine Learning Online Training Objectives

By the end of Machine Learning training, you will be able to:

  • Understand what machine learning is with the help of real-time examples.
  • Master the concepts of supervised, unsupervised and reinforcement learning.
  • Gain practical knowledge of principles, algorithms, and applications of machine learning.
  • Acquire knowledge of the mathematical and heuristic aspects of machine learning.
  • Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes.
  • Model a wide variety of robust machine learning algorithms including deep learning.
     
  • According to a recent survey, it is estimated that 64% of enterprises are investing in machine learning, creating huge job opportunities around the globe.
  • Machine learning jobs are in high demand and top MNCs are hiring certified machine learning professionals worldwide.
  • The average salary of a certified machine learning professional is around $103.875 USD per annum.
     
  • Data Analysts
  • AI and IoT developers
  • Programmers
  • Aspirants willing to build their career in the prospective field.
     

The following are the prerequisites for learning Machine Learning course:

  • Understanding of data science
  • Passion for new technologies

The following job roles will get benefited by taking up this course:

  • Professionals in analytics
  • Data scientists
  • E-commerce site developers

The tutor will take care of handling the projects. We will provide two real-time projects with a highly-skilled guide who can assist you throughout the project.
 

Tekslate Advantage:

Real - World Projects

With real-world projects you’ll gain working experience that companies require while you get hired.

Career Services

Our career services include mock interviews, certification assistance and guide you to prepare your professional resume that gets you hired.

Flexible Learning Options

Customize your curriculum as per your project needs, learn at your own pace or choose the schedule that fits best to you.

Mentor Support

Our expert mentors help you when you are stuck in any time of the training sessions and help you stay on track.

Machine Learning Training Course Reviews

Sony

Machine learning classes taught by the Tekslate trainers are excellent. They guided me very well in the project. They have shown me the rig

Read more...

Virat

I have recently enrolled for a machine learning training in Tekslate and have opted for weekend batch, they have options like weekday and we

Read more...

Kareem

It is amazing to have the ML class from Tekslate...This is the first time I went through the online training mode and I have gained the conf

Read more...

WILL I GET CERTIFICATE?

Upon completion of the training you’ll be provided a course completion certificate which adds weightage to your resume and increases your chances of getting hired.

Benefits:

  • Certification Assistance
  • Certification Sample Questions
  • FAQs about Machine Learning Course

    We have a strong team of professions who are experts in their fields. Our trainers are highly supportive and render a friendly working environment to the students positively stimulating their growth. 
     

    We will share you the missed session from our recordings. We at Tekslate maintains a recorded copy of each live course you undergo.
     

    Our Trainers will provide the student with the Server Access ensuring practical real-time experience and training with all the utilities required for the in-depth understanding of the course.
     

    We provide all the training sessions LIVE using either GoToMeeting or WebEx, thus promoting one-on-one trainer student Interaction.
     

    Live training uncovers distinct benefits as they are mighty to reach your desired audience converting your prospects into customers in less time. Pre-recorded videos offer plenty of advantages for entrepreneurs to educate entertain and inspire your audience as long as you want.