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Complete Machine Learning In Python With Projects By Spotle.ai

Learn and apply all the machine learning techniques that will make your Data Science skillset complete. Learn hands-on with many examples and projects from the industry and academic leaders.

Course Description

Machine learning, Data Science and Python have become key industry drivers in the global job and opportunity market. This course, designed and delivered by the industry experts and Ivy League academic leaders, will help you learn machine learning from scratch. You will learn the subject with lots of applications and coding using Python programming language in real life business scenarios. 

In this course you will learn:

1. The principle of supervised and unsupervised learning and their difference.

2. Linear Regression, Logistic Regression, Decision Tree, Regression Tree, Random Forest, Discriminant Analysis, Support Vector Machines, Naïve Bayes Classifier, KNN, Cluster Analysis, K-means clustering, Hierarchical clustering, Factor Analysis with lots of real life examples using Python programming language.

3. How to choose the right set of algorithms to solve your problem statement.

Goals

At the end of this course you will learn,

  • The principle of supervised and unsupervised learning and their difference.
  • Reinforcement learning as a BONUS.
  • Regression models such as Linear Regression and Ridge Regression
  • Classification models such as Decision Tree, Regression Tree, Random Forest, Logistic Regression, Discriminant Analysis, Support Vector Machines, Naïve Bayes Classifier, KNN.
  • Cluster Analysis such as K-means clustering, Hierarchical clustering.
  • Factor Analysis and Structural Equation Modelling as BONUS.
  • How to choose the right set of algorithms and applying them in real-life projects in Python.
  • Lots of real life problem solving using Python programming language.

Prerequisites

You are all set to start now if you just have a computer or a mobile handset with an internet connection.

Basic knowledge of Python will be a plus. Basic understanding of Statistics will be a plus.

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Curriculum

  • Introduction
    01:21
    Preview
  • Supervised Machine Learning
    04:57
    Preview
  • Unsupervised Machine Learning
    05:22
  • Difference Between Supervised And Unsupervised Machine Learning
    02:38
  • Semi-supervised Machine Learning
    03:40
  • BONUS - Reinforcement Learning
    06:54
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Complete Machine Learning In Python With Projects By Spotle.ai
This Course Includes
  • 6 hours
  • 59 Lectures
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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