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    Course content

    About Machine Learning and AI Training Program in Maranola-Trivio

  • Join Our Online Classroom!
  • Exercise: Meet Your Classmates & Instructor
  • Asking Questions + Getting Help

  • What Is Machine Learning?
  • ZTM Resources
  • Exercise: Machine Learning Playground
  • How Did We Get Here?
  • Exercise: YouTube Recommendation Engine
  • Types of Machine Learning
  • Are You Getting It Yet?
  • What Is Machine Learning? Round 2
  • Section Review
  • Monthly Coding Challenges, Free Resources, and Guides

  • Section Overview
  • Introducing Our Framework
  • Types of Machine Learning Problems
  • Types of Data
  • Types of Evaluation
  • Features In Data
  • Modelling - Splitting Data
  • Modelling - Picking the Model
  • Modelling - Tuning
  • Modelling - Comparison
  • Overfitting and Underfitting Definitions
  • Experimentation
  • Tools We Will Use
  • Optional: Elements of AI

  • What is Conda?
  • Conda Environments
  • Mac Environment Setup
  • Mac Environment Setup 2
  • Windows Environment Setup
  • Windows Environment Setup 2
  • Linux Environment Setup
  • Sharing your Conda Environment
  • Jupyter Notebook Walkthrough

  • Section Overview
  • Downloading Workbooks and Assignments
  • Pandas Introduction
  • Series, Data Frames and CSVs
  • Data from URLs
  • Quick Note: Upcoming Videos
  • Describing Data with Pandas
  • Selecting and Viewing Data with Pandas
  • Quick Note: Upcoming Videos
  • Selecting and Viewing Data with Pandas Part 2
  • Manipulating Data
  • Manipulating Data 2
  • Manipulating Data 3
  • Assignment: Pandas Practice
  • How To Download The Course Assignments

  • NumPy Introduction
  • Quick Note: Correction In Next Video
  • NumPy DataTypes and Attributes
  • Creating NumPy Arrays
  • NumPy Random Seed
  • Viewing Arrays and Matrices
  • Manipulating Arrays
  • Manipulating Arrays 2
  • Standard Deviation and Variance
  • Reshape and Transpose
  • Dot Product vs Element Wise
  • Exercise: Nut Butter Store Sales
  • Comparison Operators
  • Sorting Arrays
  • Turn Images Into NumPy Arrays
  • Exercise: Imposter Syndrome
  • Assignment: NumPy Practice
  • Optional: Extra NumPy resources

  • Matplotlib Introduction
  • Importing And Using Matplotlib
  • Anatomy Of A Matplotlib Figure
  • Scatter Plot And Bar Plot
  • Histograms And Subplots
  • Subplots Option 2
  • Quick Tip: Data Visualizations
  • Plotting From Pandas DataFrames
  • Quick Note: Regular Expressions
  • Plotting From Pandas DataFrames

  • Scikit-learn Introduction
  • Quick Note: Upcoming Video
  • Refresher: What Is Machine Learning?
  • Quick Note: Upcoming Videos
  • Typical scikit-learn Workflow
  • Optional: Debugging Warnings In Jupyter
  • Getting Your Data Ready: Splitting Your Data
  • Quick Tip: Clean, Transform, Reduce
  • Getting Your Data Ready: Convert Data To Numbers
  • Note: Update to next video (OneHotEncoder can handle NaN/None values)
  • Getting Your Data Ready: Handling Missing Values With Pandas
  • Extension: Feature Scaling
  • Note: Correction in the upcoming video (splitting data)
  • Getting Your Data Ready: Handling Missing Values With Scikit-learn
  • NEW: Choosing The Right Model For Your Data
  • NEW: Choosing The Right Model For Your Data 2 (Regression)
  • Quick Note: Decision Trees
  • Quick Tip: How ML Algorithms Work
  • Choosing The Right Model For Your Data 3 (Classification)
  • Fitting A Model To The Data
  • Making Predictions With Our Model
  • predict() vs predict_proba()
  • NEW: Making Predictions With Our Model (Regression)
  • NEW: Evaluating A Machine Learning Model (Score) Part 1
  • NEW: Evaluating A Machine Learning Model (Score) Part 2
  • Evaluating A Machine Learning Model 2 (Cross Validation)
  • Evaluating A Classification Model 1 (Accuracy)
  • Evaluating A Classification Model 2 (ROC Curve)
  • Evaluating A Classification Model 3 (ROC Curve)
  • Reading Extension: ROC Curve + AUC
  • Evaluating A Classification Model 4 (Confusion Matrix)
  • NEW: Evaluating A Classification Model 5 (Confusion Matrix)
  • Evaluating A Classification Model 6 (Classification Report)
  • NEW: Evaluating A Regression Model 1 (R2 Score)
  • NEW: Evaluating A Regression Model 2 (MAE)
  • NEW: Evaluating A Regression Model 3 (MSE)
  • Machine Learning Model Evaluation
  • NEW: Evaluating A Model With Cross Validation and Scoring Parameter
  • NEW: Evaluating A Model With Scikit-learn Functions
  • Improving A Machine Learning Model
  • Tuning Hyperparameters
  • Tuning Hyperparameters 2
  • Tuning Hyperparameters 3
  • Note: Metric Comparison Improvement
  • Quick Tip: Correlation Analysis
  • Saving And Loading A Model
  • Saving And Loading A Model 2
  • Putting It All Together

  • Data Engineering Introduction
  • What Is Data?
  • What Is A Data Engineer?
  • What Is A Data Engineer 3?
  • What Is A Data Engineer 4?
  • Types Of Databases
  • Quick Note: Upcoming Video
  • Optional: OLTP Databases
  • Optional: Learn SQL
  • Hadoop, HDFS and MapReduce
  • Apache Spark and Apache Flink
  • Kafka and Stream Processing

  • Deep Learning and Unstructured Data
  • Setting Up With Google
  • Setting Up Google Colab
  • Google Colab Workspace
  • Uploading Project Data
  • Setting Up Our Data
  • Setting Up Our Data 2
  • Importing TensorFlow 2
  • Optional: TensorFlow 2.0 Default Issue
  • Using A GPU
  • Optional: GPU and Google Colab
  • Optional: Reloading Colab Notebook
  • Loading Our Data Labels
  • Preparing The Images
  • Turning Data Labels Into Numbers
  • Creating Our Own Validation Set
  • Preprocess Images
  • Preprocess Images 2
  • Turning Data Into Batches
  • Turning Data Into Batches 2
  • Visualizing Our Data
  • Preparing Our Inputs and Outputs
  • Optional: How machines learn and what's going on behind the scenes?
  • Building A Deep Learning Model
  • Building A Deep Learning Model 2
  • Building A Deep Learning Model 3
  • Building A Deep Learning Model 4
  • Summarizing Our Model
  • Evaluating Our Model
  • Preventing Overfitting
  • Training Your Deep Neural Network
  • Evaluating Performance With TensorBoard
  • Make And Transform Predictions
  • Transform Predictions To Text
  • Visualizing Model Predictions
  • Visualizing And Evaluate Model Predictions 2
  • Visualizing And Evaluate Model Predictions 3
  • Saving And Loading A Trained Model
  • Training Model On Full Dataset
  • Making Predictions On Test Images
  • Submitting Model to Kaggle
  • Finishing Dog Vision: Where to next?

  • What Is A Programming Language
  • Python Interpreter
  • How To Run Python Code
  • Latest Version Of Python
  • Our First Python Program
  • Python 2 vs Python 3
  • Exercise: How Does Python Work?
  • Learning Python
  • Python Data Types
  • How To Succeed
  • Numbers
  • Math Functions
  • DEVELOPER FUNDAMENTALS: I
  • Operator Precedence
  • Exercise: Operator Precedence
  • Optional: bin() and complex
  • Variables
  • Expressions vs Statements
  • Augmented Assignment Operator
  • Strings
  • String Concatenation
  • Type Conversion
  • Escape Sequences
  • Formatted Strings
  • String Indexes
  • Immutability
  • Built-In Functions + Methods
  • Booleans
  • Exercise: Type Conversion
  • DEVELOPER FUNDAMENTALS: II
  • Exercise: Password Checker
  • Lists
  • List Slicing
  • Matrix
  • List Methods
  • List Methods 2
  • List Methods 3
  • Common List Patterns
  • List Unpacking
  • None
  • Dictionaries
  • DEVELOPER FUNDAMENTALS: III
  • Dictionary Keys
  • Dictionary Methods
  • Dictionary Methods 2
  • Tuples
  • Tuples 2
  • Sets
    • Why Should You Learn Machine Learning and AI Training Program in Maranola-Trivio Training?

    The annual salary of an Machine Learning and AI Training Program in Maranola-Trivio is $125k.

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    What you will get at Zeblearnindia Learning?

    Zeblearnindia Learning is your one-stop institute to learn SAP Online Training Courses, Web Designing, Data Science, Fullstack Developer, Salesforce, Workday, Machine Learning, software testing and video editing. With the flexibility of choosing between online and classroom (offline) modes of learning, our comprehensive courses have been specifically designed for students, working professionals, businessmen and entrepreneurs. Here’s what you’ll get at Zeblearnindia Learning:

    •   Expert-Led Training
    •   Globally Recognized Certifications
    •   100% Job Placement Support
    •   Hands-On Learning
    •   Flexible Learning Options
    •   Affordable Course Fees
    •   Career Growth Opportunities
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    TRAINING FEATURES

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    Instructor-led Sessions

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    Real-life Case Studies

    Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

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    Assignment

    Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

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    Lifetime Access

    Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.

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    24 x 7 Expert Support

    With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.

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    Certification

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    Program Core Credentials

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    Trainer Profiles

    Industry Experts
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    Trained Students

    10000+
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    Success Ratio

    100%
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    Corporate Training

    For India & Abroad
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    Job Assistance

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    We're Here to Help!

    For any queries, feedback, or assistance, reach out to ZebLearn Learner Support.

    Phone Support

    For voice calls, please use the number below:

    +91 7277877778
    WhatsApp Support

    For calls and chat via WhatsApp, use the number below:

    +91 8506888288
    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    (20 July ) 60 Minutes WEBINAR with CERTIFICATE

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    Students Reviews

    Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

    Vikram Singh
    Data Scientist
    The Machine Learning AI course from ZebLearnIndia is exceptional. The course offers a comprehensive understanding of machine learning algorithms and AI technologies. The hands-on projects and expert guidance have significantly enhanced my skills and confidence in applying AI techniques to real-world problems.
    Arjun Singh
    AI Developer
    The Machine Learning AI course at Zeblearn India was exceptional. The training covered a wide range of topics, and the practical labs were particularly useful in understanding how to implement machine learning algorithms. This course has been a great boost to my career.
    Rajesh Kumar
    Software Engineer
    I found the Machine Learning AI course at ZebLearnIndia to be highly comprehensive and engaging. The in-depth coverage of machine learning techniques and real-world applications has equipped me with the skills needed to tackle complex AI problems.
    Siddharth Kapoor
    Data Science Lead
    Zeblearn Indias Machine Learning AI training was an excellent learning experience. The course content was relevant and up-to-date, and the instructors were very knowledgeable. The practical exercises helped me gain a solid grasp of machine learning concepts.
    Vikas Agarwal
    Research Scientist
    The Machine Learning AI training at Zeblearn India was outstanding. The course was well-structured, and the hands-on projects were very helpful in understanding the practical aspects of machine learning. This training has significantly improved my research capabilities.
    Neha Joshi
    AI Researcher
    The Machine Learning AI training provided by Zeblearn India was excellent. The instructors were very knowledgeable, and the course content was thorough. The hands-on exercises and real-world examples made the learning process engaging and effective.
    Kavita Desai
    Project Manager
    The Machine Learning and AI course at Zeblearn India was very informative and practical. The trainers were knowledgeable and provided great insights. This course has been instrumental in my professional growth.
    Rohan Iyer
    AI Specialist
    The Machine Learning AI training at Zeblearn India exceeded my expectations. The course was well-structured and covered both basic and advanced topics. The practical exercises were instrumental in solidifying my understanding of machine learning concepts.
    Ananya Nair
    AI Research Scientist
    ZebLearnIndias Machine Learning AI course provided a robust foundation in both theoretical concepts and practical applications. The hands-on labs and expert instruction have been invaluable in advancing my career in AI and machine learning.
    Karan Desai
    Data Analyst
    The Machine Learning AI course at Zeblearn India was a fantastic experience. The training covered a wide range of topics, and the practical sessions were very beneficial in reinforcing the concepts. The skills I acquired have greatly enhanced my data analysis capabilities.

    Machine Learning and AI Training Program in Maranola-Trivio - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 20 July 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 25 July 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    30 July 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

    Enroll Now, Pay Later

    Explore Our Courses Across The States - Flexible batches

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