AI/ML Expert Course

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications

500+ Students Enrolled
4.4 Rating (325) Ratings

What You'll Learn

  • Learn Understand the theory behind Artificial Intelligence
  • Learn Build an AI.
  • Learn Deep Convolutional Q-Learning
  • Learn Deep Q-Learning.
  • Learn Master the State of the Art AI models
  • Learn Make an AI to beat games

Course Content

  • Probability Distribution of Discrete Random Variable
  • Binomial Distribution
  • Uniform Distribution
    i> Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Applying K Nearest Neighbors to Data
  • Euclidean Distance theory
  • Boosting Algorithm
  • Beginning SVM from Scratch in Python
  • Machine Learning - Clustering Introduction
  • Handling Non-Numerical Data for Machine Learning
  • K-Means with Titanic Dataset
  • K-Means from Scratch in Python
  • Finishing K-Means from Scratch in Python
  • Introduction Naive Bayes Classifier
  • Naive Bayes Classifier with Scikit
  • Introduction into Text Classification using Naive Bayes
  • Python Implementation of Text Classification
Web Development

  This Course includes

  Tutorials

  Articles, Videos

  Full Time Lectures

  Real Scenarios

  Project Work

  Certification of Completion

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