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Geospatial Analysis using AI & ML

This course dives into advanced geo-spatial analysis using AI & ML, covering machine learning basics, data preprocessing, model training, and classification. 
After the Course you'll be familiar with
  • SVM & K-NN

  • Bagging and Boosting

  • ANN & CNN

  • Matplotlib, Seaborn

  • Shape files, GeoTIFF

  • Landslide Susceptibility Mapping 

Both online and offline(Bangalore and Thiruvananthapuram) mode available with customized class timings

Doubt clearing sessions with personalized assistance

Trainers with 5+ years of hands-on experience in various aspects of Geospatial Technology

Duration-45 Days/90Hrs.

Monday-Friday

What you'll learn

  • Definition and Scope of Machine Learning

  • Machine Learning and it's types: Supervised, Unsupervised, Reinforcement Learning

  • Supervised Learning Algorithms

  • Preprocessing Data for Machine Learning

  • Model Training and Classification 

  • Data Visualization & Validation 

  • Spatial Data Gathering and Preparation

  • Spatial Data Cleaning and Pre-processing

  • Geo-spatial Analysis Libraries

  • Splitting Training and Testing Data

  • Classification and Model Building

  • Model Evaluation and Validation

  • Applying Built Models to Spatial Layers

  • Data Visualization and Prediction Map

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Course Tools and Exercises

Automating NDVI Using Python

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Course Content

Advance Geo-Spatial Analysis using AI & ML

Exploring Geo-Spatial Python Libraries

Prerequisites

knowledge in ArcMap & ArcGIS pro, QGIS

Top Companies who hire GIS Professionals

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Live Project and Placement Support

  • Live project work with our team

  • Publication of Reputed Conferences and Journals

  • Industrial Internship & Research

  • Field Based Studies

  • Projects, Labs for Practice, Assignments and Assessments

  • 100% Placement support guaranteed

  • We'll refer you to top MNCs who are hiring GIS professionals, like Cognizant, Accenture, DeduceTech, Wipro, and many more. 

  • We'll prepare you for the interview

Click Here To Enroll The Course

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