Machine Learning Python

Data Science

Course Description

This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modelling relates to Machine Learning, and do a comparison of each.

6 Days

  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning model
  • Make accurate predictions
  • Make powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem

  • Engineers
  • Software and IT Professionals
  • Data Professionals

  • NLP, Deep Learning, Reinforcement Learning and Graphical Models along with a solid foundation in Predictive Analytics and Statistics
  • Some programming experiences.

Day 1

  • Introduction to Analytics
  • Data Description

 

Day 2

  • Basic Python
  • Data Preprocessing

Day 3

  • Linear Regression Model
  • Logistic Regression
  • K Nearest Neighbours Algorithm for Classification

 

Day 4

  • Naïve Bayes Algorithm
  • Decision Tree
  • Random Forests

Day 5

  • Support Vector Machines with case study
  • Unsupervised Learning – Clustering

Day 6

    • Artificial Neural Networks with case study
    • Natural Language Processing basics with python
    • Discussion on Application of Algorithms