Machine Learning Foundation – TechSoft

Machine Learning Foundation

Machine-Learning

About This Course

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 Modeling relates to Machine Learning, and do a comparison of each.

Look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!

Explore many algorithms and models:

  • Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

More important, you will transform your theoretical knowledge in to practical skill using many hands-on labs.

Get ready to do more learning than your machine!

Enquire Now

About This Course

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 Modeling relates to Machine Learning, and do a comparison of each.

Look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!

Explore many algorithms and models:

  • Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

More important, you will transform your theoretical knowledge in to practical skill using many hands-on labs.

Get ready to do more learning than your machine!

Course Syllabus

Module 1 – Introduction to Machine Learning

  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning

Module 2 – Regression

  • Linear Regression
  • Non-linear Regression
  • Model evaluation methods

Module 3 – Classification

  • K-Nearest Neighbour
  • Decision Trees
  • Logistic Regression
  • Support Vector Machines
  • Model Evaluation

Module 4 – Unsupervised Learning

  • K-Means Clustering
  • Hierarchical Clustering
  • Density-Based Clustering

Module 5 – Recommender Systems

  • Content-based recommender systems
  • Collaborative Filtering

Course Calendar

Start Date End Date Duration Locaton Register Now
12th July 2019 14th July 2019 3 Days Pune Register Now
2nd Aug 2019 4th Aug 2019 3 Days Pune Register Now
6th Sep 2019 8th Sep 2019 3 Days Pune Register Now

Course Calendar

Stat Date

End Date Duration Location
12th July 2019 14th July 2019 3 Days Pune
Stat Date

End Date Duration Location
2nd Aug 2019 4th Aug 2019 3 Days Pune
Stat Date

End Date Duration Location
6th Sep 2019 8th Sep 2019 3 Days Pune

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