Specialization in Data Science -
Machine Learning with Deep Learning

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

Government's applications Of ML/AI

Companies Using Machine Learning

Uses machine learning for search algorithms, voice recognition, and personalized recommendations. Google's AI-powered tools, such as Google Assistant and Google Photos, enhance user experiences through predictive analytics .

Utilizes machine learning to personalize news feeds, detect harmful content, and enhance facial recognition. AI also plays a role in improving ad targeting and optimizing user engagement across its platforms.

Incorporates machine learning in autonomous driving, battery optimization, and predictive maintenance. Tesla's self-driving technology continuously learns from real-world driving data to enhance safety and performance.

Uses machine learning in Siri, facial recognition, and personalized user experiences. AI helps improve predictive text, app suggestions, and health monitoring features across Apple devices.

Leverages AI in products like Azure AI, Cortana, and Office 365 to improve automation, security, and productivity. It is also used in gaming, cloud computing, and cybersecurity solutions.

Applies machine learning to analyze listening habits and preferences to curate personalized playlists, recommend new songs, and improve user experience with dynamic content suggestions.

What will you learn in the training?

Python Basics

  • What is Python?
  • Advantages of using Python
  • Python 2 vs. Python 3
  • Installing Python
  • Setting up a development environment

Running Python Programs

  • Running Python scripts from the command line
  • Understanding the Python interpreter
  • Interacting with Python using the interactive shell
  • Executing Python scripts in an Integrated Development Environment (IDE)

Anaconda and Jupyter Notebook

  • Introduction to Anaconda distribution
  • Installing Anaconda
  • Managing Python environments with conda
  • Introduction to Jupyter Notebook
  • Running and executing code in Jupyter Notebook
  • Markdown cells and documentation

Variables and Data Types

  • Understanding variables and data types in Python
  • Numeric data types: integers, floats, and complex numbers
  • Text data types: strings and string manipulation
  • Boolean data type and logical operations
  • Type conversion and casting

Arithmetic Operations and Operators

  • Arithmetic operators: +, -, *, /, %, **
  • Assignment operators: =, +=, -=, *=, /=, %=
  • Comparison operators: ==, !=, >, <, >=, <=
  • Logical operators: and, or, not
  • Bitwise operators: &, |, ^, ~, <<, >>

Control Structures

  • if, elif, and else statements
  • Comparison operators and logical conditions
  • Nested conditional statements
  • while loop and break statement
  • for loop and range function
  • List vs Array
  • Iterating over lists, tuples, sets, and dictionaries

Python Data Structures

  • Lists: creating, indexing, slicing, and modifying
  • Tuples: creating, indexing, slicing, and immutability
  • Sets: creating, adding, removing, and set operations
  • Dictionaries: creating, accessing, modifying, and dictionary operations
  • Python Array
  • NumPy Array

Working with Files and Directories

  • Reading and writing text files
  • Working with CSV, JSON, and XML files
  • File modes and file handling
  • Managing directories and file paths
  • File and directory operations: copying, moving, deleting
  • Overview of Machine Learning
  • Types of Learning: Supervised, Unsupervised, Reinforcement
  • Real-World Applications of Machine Learning
  • Machine Learning Project Workflow
  • Setting Up the Environment
  • Why Python for Machine Learning?
  • Installing Python, Jupyter Notebooks, and Anaconda
  • Introduction to Machine Learning Libraries: TensorFlow, Keras, PyTorch, Scikit-learn
  • Running Your First Machine Learning Model
  • Linear Algebra for ML
    • Vectors, Matrices, and Matrix Operations
    • Eigenvalues and Eigenvectors
    • Applications of Linear Algebra in Machine Learning
  • Probability and Statistics
    • Bayes Theorem and Probability Distributions
    • Statistical Concepts: Mean, Variance, Hypothesis Testing
    • Understanding Bias-Variance Tradeoff
  • Calculus for Machine Learning
    • Derivatives and Gradients
    • Gradient Descent Optimization
    • Intuition Behind Backpropagation
  • Data Wrangling and Preprocessing
  • Handling Missing Values and Outliers
  • Feature Scaling: Normalization and Standardization
  • Encoding Categorical Variables
  • Data Visualization
    • Visualizing Data with Matplotlib, Seaborn, and Plotly
    • Exploratory Data Analysis (EDA) Techniques
    • Identifying Patterns and Feature Importance
  • Linear Regression and Logistic Regression
  • Decision Trees and Support Vector Machines (SVM)
  • Ensemble Methods
    • Random Forests
    • Gradient Boosting (XGBoost)
  • Evaluation Metrics
    • Accuracy, Precision, Recall, F1 Score
  • K-Means Clustering
  • Hierarchical Clustering
  • Dimensionality Reduction
    • PCA
    • t-SNE
  • Anomaly Detection Techniques
  • Introduction to Neural Networks
    • Perceptron, Forward Propagation, Backpropagation
    • Activation Functions: ReLU, Sigmoid, Softmax
    • Optimizers: SGD, Adam
  • Convolutional Neural Networks (CNNs)
    • CNN Architecture: Convolution, Pooling, Fully Connected Layers
    • Applications: Image Classification and Object Detection
  • Recurrent Neural Networks (RNNs)
    • RNNs and LSTMs for Sequential Data
    • Applications: Sentiment Analysis, Time-Series Forecasting
  • Autoencoders and GANs
    • Dimensionality Reduction with Autoencoders
    • Understanding Generative Adversarial Networks (GANs)
  • Model Deployment Techniques
  • Deploying Models with Flask
  • Introduction to Docker for Containerization

 

  • Natural Language Processing (NLP)
    • Tokenization, Stemming, and Lemmatization
    • Word Embeddings: Word2Vec, GloVe, Transformers
    • Advanced NLP with BERT and GPT Models
  • Reinforcement Learning
    • Basics of Reinforcement Learning and Q-Learning
    • Deep Q-Learning and Its Applications

Demand & Growth of Machine Learning

Market Growth

  • Projected to reach $225.91B by 2030 (CAGR: 35.6%) – Fortune Business Insights
  • 90% of enterprises investing in AI & ML – Forbes

👨‍💻Job Demand:

  • 75% of companies using ML for automation – McKinsey
  • ML Engineer avg. salary: $120K+Glassdoor

4 Reasons to learn Specialization in Data Science under Mr. Vimal Daga

01

Teaching beyond the certification

 

02

Practical Industry knowledge, Creator mentality

03

90 days technical support and a community for lifetime networking

04

Exclusive training of most demanded & market valued Machine Learning 

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 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
1,50,000+ Professionals trained
75+ Global Certifications
200+ Companies benefited

Previous Summer Internship

SEE HOW WE’RE CHANGING LIVES THROUGH EDUCATION – HEAR FROM OUR STUDENTS!

Our Alumni say “Life Changing Summer Program”

Our community is a mix of students, professionals, and budding entrepreneurs, who come as learners and become the torchbearers of our vision. They are the source of our inspiration and the drivers of our passion. Let’s look at what some of our learners have to say about us.
An amazing place to learn and grow.The atmosphere created by Mr. Vimal Daga sir during the whole training was soo good and healthy. Not only he taught us technology but he also made us believe that one can only grow when he/she shares his/her knowledge.And for sure the teaching he gave us regarding technology is non-commendable .Not only this, he also made us clear 2 international exams in a blink . He didn’t stop here, he made us work on a startup and showcased it on an international-level platform through an event JAZBAA under IIEC community. We did all this in only 45 days. I know its hard to believe but yeah we did all this in 45 days. Thank you so much sir for making us a technophile and planning so much for us.Hope ,will be able to contribute in your mission of making India future ready.
Ms. Shreya Dadhich
JECRC University, Jaipur
LinuxWorld to be honest is what every engineering student needs. If I knew about LW when I was born. I probably wouldnt go to school or college or amywhere else. That’s the amount of confidence i have in Vimal sir. He is a person who can teach concepts to even a toddler covering everything from the basics, filtering out the useless textbook info that’s not needed and delivering the right content necessary in the right order. I did my mechanical engineering from Karunya. So I’m a person with 0 technical background. But now I’m trained in the top technologies currently running and have a definitive path in life which most engineering students fail to find. Thank you Preethi ma’am. You were strict when needed at the same time supportive and helping us grow. Now because of LinuxWorld we’ll soon be launching our startup G during JAZBAA. If i go on typing. This is not gonna end. So yea. That’s it.
Mr. Chris Jaimon
Karunya Institute of Technology & Science, Coimbatore
Vimal Daga sir is a great person who motivated approximately everybody present there to grow along with others and share your knowledge for faster results. Plus we were provided with a platform (JAZBAA 1.0) to showcase our technical skills to solve social and other problems.
Mr. Rishabh Umrao
SRMSCET, Bareilly

JAZBAA START-UP PLATFORM

(EXCLUSIVELY FOR OUR SUMMER PROGRAM STUDENTS) EVERY ENGINEERING STUDENT CAN BE A CREATOR, THE ONLY THING WE NEED IS JAZBAA.

20+ Top-Notch Angel
Investors

Top-Notch Angel Investors from various cities namely Mumbai, Bangalore, Hyderabad, Gurgaon were present at JAZBAA 1.0

56+ StartUps
Showcased

“Unbelievable” was the feedback from the investors to these 56+ Startups which were ideated, build and showcased at JAZBAA 1.0

10+ Sectors
Covered

Healthcare, Education, Logistics & Transportation, Agriculture, Consumer Products & Services, Retail, Human Resource and many more

Frequently Asked Questions

  • 110 hours Total
  • Online/Offline mode available
  • Two Batches Available
  • Starting on May / June / July

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 info@hash13.com.

Our alumni works at:

Uses machine learning for search algorithms, voice recognition, and personalized recommendations. Google's AI-powered tools, such as Google Assistant and Google Photos, enhance user experiences through predictive analytics and automation.

Utilizes machine learning to personalize news feeds, detect harmful content, and enhance facial recognition. AI also plays a role in improving ad targeting and optimizing user engagement across its platforms.

Google

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