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Machine Learning Online Certification Training Course

19998.00 INR 19998.00 INR (Excl. GST)

Machine Learning Online Certification Training Course

Incorporated with real-time projects and training modules, the JanBask Training Machine learning course gives you a deep understanding of cutting-edge algorithms, regression, time series modeling, predictive modeling, data analysis, and other studies that the industries are bullish on.

Course Information

  • Instructor Led Live Classes
  • Personalized Student Dashboard
  • Real-life Case Studies and Assignments
  • Industry Experienced Trainers
  • 100% Job Assistance Program
  • Resume & Interview Preparation

      • Course Content

    • Introduction to Machine Learning & Python

      • Overview of Machine Learning.
      • Machine Learning types
      • What are the features of Machine Learning?
      • Machine Learning Categories & Technique
      • Automation tools in Machine Learning.
      • Analyze data using a machine learning algorithm.
      • Overview of Python.
      • Why is Python preferred for Data Science?
      • Installation of Python (basic commands)
      • Python Core Objects and functions
      • Number Object and operations
      • String, List & Tuple Object Operations
      • Set object and operations
      • None Object & Boolean Object
      • Data processing and Different data Structures

    • Machine Learning: Supervised Learning & Machine Learning: Unsupervised Learning

      • Machine Learning: Supervised Learning
        • Introduction to Machine Learning
        • Understanding Supervised Learning.
        • Linear Regression Theory
        • Supervised Learning Regression
        • Linear Regression
        • Multiple Linear Regression
        • Bias-Variance Trade-Off
        • Logistic Regression
        • K-Nearest Neighbors (KNN)
        • Simple Vector Machine (SVM)
        • Decision Trees
        • Bagging
        • Boosting, AdaBoost & XGBoost
        • Naïve Bayes Classifier
      • Machine Learning: Unsupervised Learning
        • K-Means Clustering
        • Hierarchical Clustering
        • DBSCAN
        • Dimensionality Reduction
        • Linear Discriminant Analysis
        • Principal Component Analysis (PCA)
        • Reinforcement Learning
        • Model Comparisons
        • Analysis Considerations
        • Clustering Animals
        • Customer Segmentation
        • Optimal Number of Clusters
        • Cluster-Based Incentivization
        • Image Segmentation

    • Time Series Forecasting & Statements Loops

      • Time Series Forecasting
        • Introduction to forecasting
        • Steps in Time Series Forecasting
        • Data Manipulation and Cleaning
        • Time Series & Time-Series forecasting
        • Components of Time Series
        • Forecasting methods, Smoothing Methods
        • Trend and Seasonality detection and forecasting
        • Modeling Random Components, Modeling for stationary time series
        • ETS Model, auto-regressive Model, Moving Average Model, ARIMA Model, ETS Model
        • Importance of Association rules
        • Metrics of rules-Lift, Support, Confidence, Conviction
        • Apriority Model, Market Basket Analysis
        • Algorithm implementation and tuning, Applications
      • Statements Loops
        • What are the conditional statements?
        • How to use the indentations for defining if, else, elif block
        • What are the loops?
        • How to control the loops
        • How to iterate through the various objects
        • Sequence and Iterables objects
        • UDF Functions and Object Functions
        • What are the various types of functions?
        • Create UDF functions
        • Parameterize UDF function, through named and unnamed parameters
        • Defining and calling Function
        • The anonymous Functions - Lambda Functions
        • String Object functions
        • List and Tuple Object functions

    • Regular expression, Exceptional Handling & Debugging

      • What is Exception, Python Exceptions Handling
      • exceptions using try....except...else & Try-finally clause
      • Python Standard Exceptions
      • Understand on OOP & Object-oriented features
      • Creating Classes and Objects, Destroying Objects
      • Inheritance and Polymorphism
      • Overriding Methods, Data Hiding & Overloading Operators
      • pdb debugger & Pycharm Debugger
      • Assert statement for debugging
      • What are regular expressions?
      • The match and search Function
      • Compile and matching
      • Matching vs searching
      • Search and Replace feature using RE
      • Extended Regular Expressions

    Earn The JanBask Training Certificate in Machine Learning

    Comprehenive training and the prestigious JanBask certificate can work as a catalyst for you.

    Online Course Certification