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logo interninfotech

Machine Learning Training
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Machine Learning
Training

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Understanding the scope and prospects of Machine Learning, learning how ML is being used in various industries through our internship programmes, and developing the required skills and python programming to become a successful ML Engineer are all part of our internship programmes.

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    WHY LEARN FROM INTERNINFOTECH?

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    Training lessons in real time

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    Outstanding
    Teachers

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    Internship
    Experience

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    Industry Oriented Projects

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    LMS
    Access

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    Professional Certifications

    OVERVIEW OF THE PROGRAM

    Machine learning is the study of computer algorithms that can better themselves automatically based on experience and data. It is a subfield of computer science and artificial intelligence (AI). Machine learning is changing the world; it is present in many important industries, including healthcare, education, transportation, food, and entertainment. With the aid of machine learning, almost every part of our daily lives will become easier and more efficient. Housing, cars, shopping, food ordering, and so on will all become easier and more efficient.

    What is the significance of machine
    learning?

    The study of algorithms, or machine learning, has been a significant contributor to the growth and implementation of Artificial Intelligence over the last decade. It is a data-driven concept that analyses user behaviour and business operational patterns regardless of the industry.

    Cloud computing has the potential to be a very profitable industry. Senior cloud computing engineers can make up to Rs 1 crore per year. To work in cloud computing as a career, you must have the required skills as well as some exposure to the industry. This training will provide you with both of the above.

    At Interninfotech, we prioritize providing our interns with the practical skills they need to thrive. However, this does not imply that the subject’s theory is exempt from our course. We will show you the theoretical concepts and practical skills you will need to thrive. We will also provide you with hands-on experience from our top associated mentors who are well-known in their areas.

    WHY LEARN FROM INTERNINFOTECH?

    Our training curriculum includes ideas ranging from basic to advanced, allowing freshmen to excel in their careers.

    Python Course Timeline
    Introduction to programming
    • Course Introduction
    • Programming Basics
    Introduction to Python
    • Python Basics
    • Scope of Python
    • Python Data Structures
    • Python Programming Fundamentals
    • Working with Data in Python
    Advanced Concepts of Python
    • Error handling
    • Object Oriented Pregramming concepts
    • Decorators
    Analysing Data with Python
    • Reading and writing data with pandas
    • Data frames and data summarisation
    • Numpy array operations
    • Numerical computing with Numpy
    Introduction to Python Basics
    • Decoding Artificial Intelligence
    • Fundamentals of Machine Learning
    • Types of machine learning
    • Machine Learning Workflow
    • Performance Metrices
    • Supervised vs unsupervised learning
    • Classification vs regression
    Machine Learning Algorithms
    • Introduction to machine learning algorithms
    • Types of machine learning algorithms
    • Machine learning techniques
    • Machine Learning approaches
    Overview of common algorithms
    • Linear Regression
    • Logistic Regression
    • Decision Tree
    • Support vector machines (SVM)
    • Naive Bayes
    • kNN
    • K-Means
    • Random Forest
    • Dimensionality Reduction Algorithms
    • Gradient Boosting algorithms
    Natural Language Processing
    • What is natural language?
    • Natural Language Toolkits (NLTK)
    • Stopwords
    • Stemming
    • Lemmatization
    • What is sentiment analysis?
    • Native and bayes
    Pre-processing
    • What is pre-processing?
    • Preprocessing with python
    • Importing a dataset in python
    • Resolving missing values
    • Testing datasets
    • Normalizing Variables
    Regression
    • What is regression in machine learning
    • Simple linear regression
    • Multiple linear regression
    • Decision trees
    • Random Forest
    Statistics
    • Probability & distribution
    • Central limit theorem
    • Hypothesis testing
    • Categorical data
    Classification
    • kNN introduction
    • kNN practical
    • SVM introduction
    • SVM practical
    • Decision tree classifier and random forest classifier in python
    Python Course Timeline
    Introduction to programming
    • Course Introduction
    • Programming Basics
    Introduction to Python
    • Python Basics
    • Scope of Python
    • Python Data Structures
    • Python Programming Fundamentals
    • Working with Data in Python
    Advanced Concepts of Python
    • Error handling
    • Object Oriented Programming concepts
    • Regular Expressions
    • Decorators
    Analysing Data with Python
    • Reading and writing data with pandas
    • Data frames and data summarisation
    • Numpy array operations
    • Numerical computing with Numpy
    Machine Learning Algorithms
    • Introduction to machine learning algorithms
    • Types of machine learning algorithms
    • Machine learning techniques
    • Machine learning approaches
    Overview of common algorithms
    • Linear Regression
    • Logistic Regression
    • Decision Tree
    • Support vector machine(SVM)
    • Naive Bayes
    • kNN
    • K-Means
    • Random Forest
    • Dimensionality Reduction Algorithms
    • Gradient Boosting algorithms
    Natural Language Processing
    • What is natural language?
    • Natural Language Toolkits (NLTK)
    • Stopwords
    • Stemming
    • Lemmatization
    • What is sentiment analysis?
    • Native and bayes
    Pre-processing
    • What is pre-processing?
    • Preprocessing with python
    • Importing a dataset in python
    • Resolving missing values
    • Testing datasets
    • Normalizing Variables
    Regression
    • What is regression in machine learning
    • Simple linear regression
    • Multiple linear regression
    • Decision trees
    • Random Forest
    Statistics
    • Probability & distribution
    • Central limit theorem
    • Hypothesis testing
    • Categorical data
    Classification
    • kNN introduction
    • kNN practical
    • SVM introduction
    • SVM practical
    • Decision tree classifier and random forest classifier in python

    PROJECTS

    Our Real- Time projects help you gain knowledge and enhance your skills.

    Face Detection

    Music Recommendation System

    Movie Recommendation System

    Stock Pric Prediction

    Stock Price Prediction

    Walmart Sales Prediction

    PRICING PLAN

    We provide best programs at affordable price and student friendly.

    SELF PACED

    ₹5000

    • RECORDED LECTURES
    • REAL TIME PROJECTS
    • 4+ HRS OF LIVE SESSIONS
    • ONE ON ONE DOUBT SESSIONS
    • CERTIFICATIONS
    • MENTOR SUPPORT
    • PLACEMENT GUIDANCE
    • INTERVIEW ASSISTANCE
    GET STARTED

    MENTOR LED

    ₹9000

    • RECORDED LECTURES
    • REAL TIME PROJECTS
    • 4+ HRS OF LIVE SESSIONS
    • ONE ON ONE DOUBT SESSIONS
    • CERTIFICATIONS
    • MENTOR SUPPORT
    • PLACEMENT GUIDANCE
    • PLACEMENT GUIDANCE
    • INTERVIEW ASSISTANCE
    GET STARTED

    ADVANCE

    ₹13000

    • RECORDED LECTURES
    • REAL TIME PROJECTS
    • 4+ HRS OF LIVE SESSIONS
    • ONE ON ONE DOUBT SESSIONS
    • CERTIFICATIONS
    • MENTOR SUPPORT
    • PLACEMENT GUIDANCE
    • INTERVIEW ASSISTANCE
    GET STARTED

    OUR CERTIFICATION

    On completion of a program each participant gets a course
    completion, internship and outstanding performance certificates.

    On completion of a program each participant gets a course completion, internship and outstanding performance certificates.
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    What Our Clients Say

    Everything they say on their website is true. They give you everything you need in the classroom, and the opportunity you need in the industry. Students that perform well during their sessions and during their internship get complete support from the InternInfotech team during your placement process.
    1 (6)
    Vibhor Tyagi
    Technical Associate, PwC
    The Machine Learning course at Interns Tech helped me understand the concepts and growth of this field. I was amongst the first few batches of SRM to get a super dream and dream placement in one of the leading companies - Amadeus and Bank of America. I believe the recruiters can see through our resume how much effort we have put into ourselves throughout the years and that,I owe to Interns Tech. This is a platform that I absolutely recommend!
    4 (5)
    Tanya
    Apprentice, Bank of America
    Enrolled for Interns Tech's digital marketing courses. I can definitely say that lam not disappointed. All the important concepts such as SEO and social media management were ‘explained well and in-depth. They also made sure we knew how to use these to practically ‘apply these skills. Thanks to them lam now working full time as a marketing strategist. Sincerely joining them is the best decision I have ever made.
    2 (8)
    SOURABH DHAWAN
    Sales & Marketing, Urban Piper
    I have always wanted to design cars. I feel like my dream is within reach once again. Every single subject down to the smallest detail, is explained well and with clarity. Their mentors are incredibly patient and answer all your doubts. Finally, their internship let me work in the industry of my dreams. I couldn't be happier with Acmegrade. If you're young and looking for a way to get your foot in the door, or just want to learn, then take my advice and enroll with Interns Tech today.
    3 (7)
    JAYANTH ERUKULAPATHI
    Software Engineer, Cognizant

    Our Alumni Work At

    Our alumni are already starting to make waves in their
    industries. Our former students are already working in high-
    profile industries and are shaping our futures.

    ur alumni are already starting to make waves in their industries. Our former students are already working in high-profile industries and are shaping our futures.
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    Frequently Asked Questions

    Do I need computer science skills to take this course?

    No, at Interns Tech, we teach you all of the important concepts of machine learning from the ground up, train you in the necessary skills, and provide you with an internship to ensure you get the necessary industry experience.

    Our self-paced and mentor-led courses both last two months. Our advanced classes are three months long.

    Interns offers placement assistance to all advanced course pupils. Students who excel during their internships in our self-paced and mentor-led classes will also receive placement assistance.

    What types of businesses hire machine learning engineers? Global

    Global MNCs such as Amazon, Microsoft, General Electric, Accenture, and Alibaba hire ML engineers, who are extremely valuable to the companies.

     
    Yes, Interns Tech provides internship opportunities to all of our students across all of our courses.

    Yes, you can reserve your spot by paying 1000 INR as a pre-registration fee, and the remaining amount can be paid later before the programme begins.