Hands On Training

Practicing Machine Learning Interview Questions in R

Name: Practicing Machine Learning Interview Questions in R
Brand: Careervira
Price: 71 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Preparing for an interview with Machine Learning can be challenging. What should you do? What topics should you be focusing on? What is the best topic? Don't worry! This course will show you how to answer 30 questions often asked during ML interviews. These questions focus on seven key topics: data visualization and preprocessing, unsupervised and supervised learning, as well as model selection and ensembling. These concepts can be used to predict the rating of an Android app or segment customers based on shopping habits. This course is more challenging than any DataCamp course. You will be able to get the most from the topics that we cover if you have completed the prerequisite courses.

Highlights

Pedagogy

Top 20 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Pedagogy

Acquire all major Machine Learning skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Machine Learning, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in Machine Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Machine Learning.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Machine Learning with caret in R

Unsupervised Learning in R

What You Will Learn

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning

You will practice these concepts while learning to predict the rating of an Android app or segmenting mall customers based on their purchasing behaviors

This chapter discusses important topics related to data processing such as data normalization, handling missing data and identifying outliers

Course Content

Expand all sections

Module 1: Data preprocessing and visualization

Module 2: Supervised learning

Module 3: Unsupervised learning

Module 4: Model selection and evaluation

Course Instructors

Rafael Falcon

Data Scientist at Shopify

Rafael works as a data scientist for Shopify. His goal is to help make commerce better for everyone by supporting data-informed decision making at large scale. Prior to joining Shopify, Rafael was wo...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%