Summer Training on Machine Learning with Full Stack Web Development

Supervised Learning | Unsupervised Learning | K-means clustering | Decision Trees | Model Selection | Feature engineering | Recommendation systems | HTML | CSS | Bootstrap | Javascript | Mysql & lot more

Vimal Daga

The World Record Holder, Founder at LinuxWorld & #13, Sr. Principal IT Consultant, TEDx Speaker & Philanthropist

He has been featured at:

Who are Hiring

Job opportunities in Machine Learning

What will you learn in the training?

Machine Learning with Full Stack Web Development

  • Python Environment Setup and Essentials
  • Mathematical Computing with Python (NumPy)
  • Scientific Computing with Python (SciPy)
  • Data Manipulation with Pandas
  • Scikit–Learn
  • Data Visualization in Python using Matplotlib
  • Web Scraping with BeautifulSoup
  • Descriptive Statistics
  • Inferential Statistics
  • Probability & Conditional Probability
  • Probability Distributions – Types of distribution – Binomial, Poisson & Normal distribution
  • Hypothesis Testing
  • Multiple regression
  • Logistic regression
  • K-NN classification
  • Naive Bayes classifiers
  • Support vector machines
  • Hierarchical clustering
  • High-dimensional clustering
  • Dimension Reduction-PCA
  • Random Forests
  • Bagging
  • Boosting
  • Model selection and tuning
  • Model performance measures
  • Regularising Linear models
  • Bootstrap sampling
  • Grid search CV
  • Randomized search CV
  • K fold cross-validation
  • Content based recommendation system
  • Popularity based model
  • Collaborative filtering (User similarity & Item similarity)
  • Hybrid model
  • Web Servers and Client
  • Static and Dynamic Web Page
  • Single Page Application and Multiple Page Application
  • API
  • HTTPD Web Server
  • GET and POST request
  • Postman Tool
  • Developers Tools
  • Basic HTML Tags
  • Pre tag
  • Input tag
  • HTML Forms
  • Radio Buttons
  • Checkboxes
  • Hyperlinks
  • DOM and DOM tree
  • HTML Tables
  • CSS Basic Properties
  • Margin and Padding
  • CSS Class
  • Advance CSS 
  • Javascript Introduction And Use Cases
  • Use of JS, Events in JS, HTML Attributes by JS
  • DOM & BOM
  • Data types in JS
  • Animation basics
  • Content Modification on browser using DevTools
  • JS call-backs
  • Asynchronous JS
  • JS Objects (OOP)
  • Shorthand operators
  • JQuery operations on HTML tags
  • JS RegExp
  • CRUD operations on Objects
  • Loops
  • Array
  • Targeting tags with id
  • Variable scopes: Local & Global
  • ECMA script (ES6)
  • Events 
  • NaN() method
  • Form validation
  • Anonymous function
  • Split function
  • Trim function
  • Margin and Padding
  • setTimeout() function
  • Callback function
  • Synchronous and Asynchronous Calls
  • For-each loop
  • Parsing JSON data
  • String interpolation
  • map() function
  • BootStrap brief
  • Higher Order functions
  • Advance function: setTimeout and setInterval
  • Introduction
  • Creating React App
  • Functional Component
  • Class based Component
  • React DOM
  • Material Design
  • Events
  • 3D rotation property
  • JSX
  • State Management
  • React Hooks
  • Props
  • Mapping in JSX
  • What is Bootstrap?
  • Advantages of using Bootstrap
  • Understanding the grid system
  • Creating layouts using the grid system
  • Responsive design with the grid system
  • Creating a responsive navigation bar
  • Introduction to Bootstrap components
  • Creating forms with Bootstrap
  • Adding buttons and icons
  • Creating a carousel
  • Adding custom CSS to Bootstrap
  • Introduction to Bootstrap JavaScript plugins
  • Adding functionality with JavaScript plugins
  • Creating a modal
  • Adding a tooltip and popover
  • Accessibility in Bootstrap
  • Using Bootstrap with other frameworks
  • Best practices for using Bootstrap
  • Python basics
  • What is Python?
  • Advantages of using Python
  • Installing Python
  • Anaconda
  • Jupyter Notebook
  • Running Python programs
  • Understanding variables and data types
  • Arithmetic operations and operators
  • Control structures: conditional statements and loops
  • Functions and arguments
  • Python Data Structures
  • Lists, tuples, and sets
  • Dictionaries and maps
  • List comprehension and generators
  • Working with files and directories
  • Python Modules and Packages
  • Python Object-Oriented Programming
  • Understanding object-oriented programming (OOP)
  • Classes and objects
  • Inheritance and polymorphism
  • Advanced OOP concepts
  • Regular expressions
  • Exception handling
  • Debugging and testing
  • Network programming
  • Git Basics
  • Git Commands
  • Clone a Repository
  • Git Branching
  • Merging
  • Git Stash
  • Git Add Interactive
  • Reflog
  • Cherry Picking
  • Git Rebase
  • Git Bisect
  • Fetching and Pulling Content
  • Working With Multiple Repositories
  • Pushing Code
  • Pull Requests
  • Git Log
  • Squashing Commits
  • Cherry-Picking and Three-Way Merges
  • Git Hooks
  • Advanced: Beyond the Basics
  • GitHub Overview
  • SSH Authentication
  • GitHub Repository
  • GitHub Repository Branches
  • GitHub Tags and Releases
  • Comparing Differences
  • Social Coding
  • GitHub Issues
  • GitHub Gists
  • GitHub Organisations
  • What is Flask?
  • Advantages of using Flask
  • Installing Flask
  • Creating a Flask project
  • Understanding the MVC pattern
  • Creating routes and views
  • Creating models and database tables
  • Querying the database with Flask-SQLAlchemy
  • Understanding URL routing in Flask
  • Rendering HTML templates
  • Template inheritance and blocks
  • Adding dynamic data to templates
  • Using Jinja2 template engine
  • Creating HTML forms with Flask-WTF
  • Validating form data
  • Saving form data to the database
  • Using Flask-WTF form fields and widgets
  • User authentication in Flask
  • Creating user accounts
  • Restricting access to views and pages
  • User roles and permissions
  • Creating and configuring a database in Flask
  • Advanced database queries with SQLAlchemy
  • Using Flask-Admin for database administration
  • Deploying a Flask application to a production server
  • Configuring a web server and database server
  • Setting up static file serving
  • Setting up static file serving
  • Debugging and error handling
  • Customizing the Flask admin interface
  • Writing custom views and middleware
  • Using third-party Flask extensions
  • Best practices for Flask development
  • Introduction to MySQL
  • Advantages of using MySQL
  • Installing MySQL
  • Creating a database and tables
  • SQL Basics
  • Understanding SQL syntax
  • Creating tables and columns
  • Inserting, updating, and deleting data
  • Retrieving data using SELECT statements
  • Advanced SQL Queries
  • Filtering and sorting data
  • Aggregating data using GROUP BY and HAVING clauses
  • Joining tables
  • Using subqueries
  • Indexes and Optimization
  • Understanding indexes and their types
  • Creating indexes for tables
  • Query optimization techniques
  • Analyzing and improving database performance
  • Transactions and Concurrency
  • Handling concurrent access to the database
  • Using locks and transactions to prevent conflicts
  • Using MySQL with Python
  • Connecting to a database
  • Querying data using Python
  • Using MySQL with other Python packages
  • Advanced MySQL Concepts
  • Understanding triggers and their uses
  • Using views to simplify queries
  • MySQL Administration
  • Backing up and restoring a database
  • Monitoring and tuning database performance
  • Configuring security and access control
  • Troubleshooting common issues
  • Using MySQL in web applications

Demanded by leaders in Tech

Some of the world’s leading companies leverage the power of full-stack development to create innovative and user-friendly web experiences. Given are some of the big names that trust full-stack development for their online presence.

Why you should Learn Machine Learning and Full Stack Development Together ?

In today’s dynamic tech landscape, versatility is key to staying ahead. By mastering both machine learning and full-stack development simultaneously, you can unlock a world of opportunities and accelerate your career growth. Here’s why combining these two powerful skill sets is a game-changer:

Comprehensive Skill Set

Learning machine learning (ML) equips you with the ability to analyze data, derive insights, and build intelligent systems. Meanwhile, mastering full-stack development enables you to create end-to-end solutions, from designing user interfaces to managing databases. By combining these skills, you become a well-rounded tech professional capable of tackling diverse projects.

Seamless Integration

In many real-world applications, machine learning models need to be integrated into web or mobile platforms for practical use. Understanding both ML and full-stack development allows you to seamlessly integrate machine learning functionalities into your applications. Whether it’s building recommendation systems, predictive analytics tools, or intelligent chatbots, you’ll have the expertise to bring your ideas to life.

Enhanced Collaboration

Teams often comprise members with specialized skills in different areas. By being proficient in both machine learning and full-stack development, you become a valuable asset to interdisciplinary teams. Your ability to bridge the gap between data science and software engineering fosters collaboration and enables smoother project execution.

Innovation and Problem-Solving

Combining machine learning with full-stack development empowers you to innovate and solve complex problems creatively. You can leverage machine learning algorithms to enhance user experiences, automate repetitive tasks, and optimize business processes. This interdisciplinary approach opens doors to innovative solutions that drive business growth and competitive advantage.

Career Advancement

Professionals with expertise in both machine learning and full-stack development are in high demand across various industries. Whether you aspire to work in tech startups, established companies, or pursue entrepreneurship, this skill combination offers a wide range of career opportunities. Moreover, it positions you for leadership roles where you can drive innovation and spearhead transformative projects.

Future-Proofing Your Career

As technology continues to evolve rapidly, staying adaptable and future-proofing your skill set is essential. Machine learning and full-stack development are at the forefront of technological advancements, making them invaluable skills in the digital age. By investing in learning both, you position yourself for long-term success in a tech-driven world.

Who is this training for?

Working IT Professionals
Freshers aspiring for an IT role
College pursuing students
Managers & Team Leaders
Technical Co-Founders
College HOD & Professors

4 Reasons to learn Specialization in Machine Learning with Full Stack Web Development under Mr. Vimal Daga


Teaching beyond the certification



Practical Industry knowledge, Creator mentality


90 days technical support and a community for lifetime networking


Exclusive training of most demanded & market valued Machine Learning with Full Stack Web Development

Still not sure if the training is for YOU?

Please see if you can resonate with any, tick where your answer is YES !

If you have ticked any of the above box, then you are invited to join Machine Learning with Full Stack Web Development Training

Get Certified

Yes! You will be certified for this training once you submit the task given, if any

Official and verified:

Receive an instructor signed certificate with institution’s logo to verify your achievements and increase your job prospects

Easily shareable

Add the certificate to your CV or your Resume or post it directly on LInkedin. You can even post it on instagram and twitter.

Enhances Credibility

Use your certificate to enhance your professional credibility and stand out among your peers as an expert

Increase potential opportunities

By showcasing your achieved skill set using your certificate, attracting the employer for the desired job opportunities becomes easy

Know Your Summer Mentor

None of the technologies is complex since created by human beings. Hence, anyone can learn it and create something new.

#13 proudly presents Vimal Daga as the mentor for this program

A world record holder, Mr. Vimal Daga is a Technologist, Philanthropist & A TEDx Speaker who is dedicatedly working atowards his vision- “Awakening the youth through a culture of right education”.

He is the first one in the world to become “RedHat Certified Architect Level 25 along with Enterprise Application Level 10”. Companies benefited from his 19+ years of experience.

He has expertise in multitude of latest and high-end technologies namely Machine Learning, Deep Learning, Delphix, AppDynamics, Docker, DevOps, Cloud Computing, AWS, and many more.
2,00,000+ Students Impacted

Professionals trained

75+ Global Certifications
200+ Companies benefited

Vimal's Journey
From humble beginnings to winning learners' hearts across the globe

With the expertise to deliver any technology in an easy way and a heart to share his knowledge, Vimal Daga is a self-made IT enthusiast. He is meticulous about researching the skills needed for the future and making them available for the entrepreneurs & professionals of tomorrow. The masterly IT consultant has changed the lives of many students with his inspiring teachings.  You can be the next!

Stepping Stones of Vimal’s vision: 

Vimal Daga, in his near 20 years of experience has earned many laurels. To mention a few:
  • Became Young Entrepreneur 
  • A TedX speaker
  • Trained more than 3500+ students for free
  • Two-time world record holder
  • Fastest achiever of 11 AWS global certifications (in 11 days)
  • Highest RHCA level holder (25th level with 10th level EA)
  • Creating 100s and more of entrepreneurs through his trainings

Frequently Asked Questions

  • 180 hours Total
  • Online/Offline mode available
  • Starting from 28th June / 1st July 2024

The program will be delivered LIVE, providing full interactive opportunities to participants for sustainable learning.

Yes, we do provide the access to the material which was covered in the training for your future reference for limited time span

No, we are not offering any corporate or group discount.

We start from the very basics, so no previous knowledge is required.

Yes DEFINITELY..You will be added to a community where technical support team members will answer your queries for 90 days from the completion of the program.

We have a “NO REFUND POLICY”. For related queries email us at

Our alumni works at: