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Machine Learning

Machine Learning Certification Course/Training

Machine Learning course will make you an expert in machine learning. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer/Data-Scientist.

Course Description

There is an increasing demand for skilled machine learning engineers across all industries. We recommend this Machine Learning training course for the following professionals in particular:

  • Developers aspiring to be data scientists or machine learning engineers
  • Analytics managers who are leading a team of analysts
  • Business analysts who want to understand data science techniques
  • Graduates looking to build a career in data science and machine learning.
  • Master the concepts of supervised and unsupervised learning.
  • Implement models such as linear regression, logistic regression, support vector machines, decision tree classifier, K-means clustering and more in Python.
  • Comprehend theoretical concepts and how they relate to the practical aspects of machine learning.

Course Curriculum

  • Python Programming Overview
    1. Python Basics
    2. Python Operators
    3. Python Flow-Control
    4. Python Functions
    5. Python OOPs
  • Python Libraries for Machine Learning
    1. Python pandas
    2. Python numpy
    3. Python matplotlib
    4. Python seaborn
    5. Python sklearn
  • Machine Learning
    1. Machine Learning Introduction
    2. Basics of Machine Learning
    3. Supervised Learning
      1. Simple Linear Regression
      2. Multiple Linear Regression
      3. Classification
      4. Logistic Regression
      5. Support Vector Machine
      6. Decision Tree
      7. Random Forest
      8. Naïve Bayes Classifier
      9. KNN(K-Nearest Neighbors)
    4. Un-Supervised Learning
      1. Clustering
      2. K-means Clustering
  • Deep Learning
    1. TensorFlow
    2. Keras
    3. Neural Network
      1. Artificial Neural Network
      2. Convolution Neural Network
      3. Recurrent Neural Network
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