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Python with Machine Learning

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    PYTHON WITH MACHINE LEARNING


    Learn Python with Machine by following modules:

    • INTRODUCTION
        • Python in machine learning
        • What is machine learning
        • Machine learning features
        • Benefits of Machine learning
        • Relationship between data science and machine learning
        • Applications of machine learning algorithm
        • How to define a problem
        • How to Prepare data
        • Evaluating algorithms
        • Improving Results
        • Presenting Results
    • ENVIRONMENTAL SETUP
      • Libraries and packages installation(numpy, pandas, matplotlib)
    • TYPES OF LEARNING
      • Machine learning
      • Concepts of learning (supervised, unsupervised, semi-supervised)
    • DATA PROCESSING
      • Data preprocessing
      • processing techniques
      • scaling
      • Normalization
      • Binarization
      • Data Analysis
      • Summarizing Dataset
    • MATH REFRESHER
      • Linear algebra concepts
      • Eigen values, Eigen vectors
      • Calculus
      • Accuracy
      • Precision
      • Recall
    • MACHINE LEARNING TECHNIQUES
      • Classification
      • Applications of Classification
      • Regression
      • Clustering
      • Clustering Algorithm
      • Visualization
      • Decision Making
    • ALGORITHM
      • SVM
      • KNN
      • K-MEANS
      • Decision Tree
      • Linear Regression
      • Logistic Regression
      • Kernel Support vector machines
      • Random forest classifier

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    PRIVATE COURSE
    • PRIVATE
    • 1 week, 3 days

    Why SLR Infotech ?

    • Certificate from ISO Certified Company.
    • Demo classes before joining.
    • Flexible timings from 8.00AM-8.00 PM.
    • 100% Practical Classes.
    • Small batch size and 2 hours class daily.
    • Expert & Certified Faculty.
    • Live Projects With Financial Assistance.
    • Leaders in Education Since 20 Years.
    • Trained Over 2 Lakh Students.
    • Industrial Training Certificate From Software Development Company.
    • Professional help after training and placement.

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