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AI Courses Details

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Duration 03-06 Months

Introduction

  • Introduction to AI
  • Essentials of Python
  • Foundations for AI
  • Descriptive Statistics
  • Analyzing & Exploring Data
  • Principles of Big Data
  • Handling Data & Visualization

Techniques

  • Data Acquisition
  • Pre-Processing & Preparation
  • Quality & Transformation
  • Sampling and Estimation
  • Convolution Neural Networks
  • Recurrent Neural Networks
  • Deep Learning

Algorithm

  • Statistics for Model Building.
  • Linear & Logistic Regression.
  • Naive Bayesian Classifiers.
  • Decision Trees & Random Forest.
  • Clustering & Association
  • K-Means, SVM & NLP

Project

  • Evaluation of Models.
  • Market Basket Analysis.
  • Text Mining.
  • Data Visualization
  • Credit Card Fraud Analysis
  • Practice Project-1
  • Practice Project-2