Data Science: Machine Learning Training

Live Online & Classroom Enterprise Training

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

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What is Data Science: Machine Learning Training about?

In this course, you will design a movie recommendation system for learning about standard machine learning methods, principal component analysis, and regularisation.

You will learn about training data and how to utilise it to uncover potentially predictive associations in a batch of data. You will learn how to train algorithms using training data as you develop the movie recommendation system so that you can anticipate the outcome for future datasets. You'll also learn about overtraining and how to avoid it using approaches like cross-validation. All these abilities are required for machine learning.

What are the objectives of Data Science: Machine Learning Training ?

Galton originally developed how linear regression
The basics of machine learning
How to perform cross-validation to avoid overtraining
Several popular machine-learning algorithms
How to build a recommendation system
What is regularisation, and why is it valid?

Who is Data Science: Machine Learning Training for?

Anyone interested in Machine Learning?
Students who have at least high school want to start learning Machine Learning.
Any intermediate-level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but want to learn more about it and explore all the different fields of Machine Learning.
Any people who are not that comfortable with coding but interested in Machine Learning want to apply it easily to datasets.
Any students in college who want to start a career in Data Science.
Any data analysts who want to level up in Machine Learning.
Any people who are unsatisfied with their job and want to become a Data Scientist.
Any people who want to create added value to their business by using powerful Machine Learning tools.

What are the prerequisites for Data Science: Machine Learning Training?

None

Available Training Modes

Live Online Training

16 Hours

Self-Paced Training

16 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Machine Learning

Module 2: Machine Learning Basics

Module 3: Linear Regression for Prediction, Smoothing and Working with Matrices

Module 4: Distance, Knn, Cross-validation, and Generative Models

Module 5: Classification with More than Two Classes and the Caret Package

Module 6: Model Fitting and Recommendation Systems

Who is the instructor for this training?

The trainer for this Data Science: Machine Learning Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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