CAMPALIN

CAMPALIN

Machine Learning with Python(July)

Description

The use of machine learning in business is increasing rapidly. Smart companies are harnessing the value of their data in machine learning models to reduce costs, optimize processes, and increase customer satisfaction.

What I will learn?

  • Machine learning engineers use programming languages like Python, Scala, and Java to perform tasks and automate processes. They utilize statistical and programming skills to create and train machine learning models. The ultimate goal for an ML engineer is to develop self-learning applications that are both accurate and efficient. 
  • NLP
  • Python
  • Recommender Systems
  • Boosting Algorithms

Course Curriculum

Induction Class (Optional)
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Introduction & Installation Python
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Programming Elements
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Conditions & Loops
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Data Structures
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Functions & Exception Handling
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Add-on topics
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Introduction
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Linear Regression
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Logistic Regression
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Evaluation metrics
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KNN & SVM
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Decision tree & Ensemble Learning
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Problem Statements
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Unsupervised Learning – 1
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Unsupervised Learning – 2
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Add – on topics
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8,500.00