Close
Contact Us info@learnquest.com

??WelcomeName??
??WelcomeName??
« Important Announcement » Contact Us 877-206-0106 | USA Flag
Close
Close
Close
photo

Thank you for your interest in LearnQuest.

Your request is being processed and LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

photo

Thank you for your interest in Private Training.

We look forward to helping you develop the perfect training solution to help you meet your company's goals.

For immediate assistance, speak with one of our representatives using the chat module below. Otherwise, LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

Close
photo

Thank you for your interest in LearnQuest!

Now, you will be able to stay up-to-date on our latest course offerings, promotions, and training discounts. Watch your inbox for upcoming special offers.

title

Date: xxx

Location: xxx

Time: xxx

Price: xxx

Please take a moment to fill out this form. We will get back to you as soon as possible.

All fields marked with an asterisk (*) are mandatory.

Machine Learning for Data Scientists

Price
2,800 USD
4 Days
PLPJ-305
Classroom Training, Online Training
Other

AWS Training Pass

Take advantage of flexible training options with the AWS Training Pass and get Authorized AWS Training for a full year.

Learn More

Prices reflect a 22.5% discount for IBM employees (wherever applicable).
Prices reflect a 24% discount for Kyndryl employees (wherever applicable).
Prices reflect the Accenture employee discount.
Prices shown are the special AWS Partner Prices.
Prices reflect the Capgemini employee discount.
Prices reflect the UPS employee discount.
Prices reflect the ??democompanyname?? employee discount.
GSA Private/Onsite Price: ??gsa-private-price??
For GSA pricing, please go to GSA Advantage.
 

Class Schedule

Delivery Formats

Sort results

Filter Classes

Guaranteed to Run

Modality

Location

Language

Date

  • Date: 16-Sep-2024 to 19-Sep-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,800 USD
  • Date: 11-Nov-2024 to 14-Nov-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,800 USD
  • Date: 6-Jan-2025 to 9-Jan-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,800 USD
  • Date: 3-Mar-2025 to 6-Mar-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,800 USD
View Global Schedule

Course Description

Overview


 

Objectives


 

Audience

Data Scientists
 

Prerequisites

    • Attendants should have knowledge:
      • Python
      • Spark fundamentals
      • Pyspark fundamentals

Topics

Part I. Data Science Fundamentals
  • Unit 1. Data Science Overview
Business Analytics, Data Analytics, Data Science. Data Scientist and Data Engineering roles. Traditional Analytics with the Data Warehouse. The Data Lake, its advantages and limitations. Data formats in the Data lake. The lakehouse and several ways to implement it. The Data Fabric. Data Science Methodology.
  • Unit 2. Introduction to Artificial Intelligence and Machine Learning
Concise theoretical introduction to Artificial Intelligence, Machine Learning. Feature Engineering. Types of Learning (Structured, Semi-Structured and Unstructured Learning). Deep Learning. Introduction to Machine Learning Algorithms. Machine Learning Packages. Part II. Data Processing
  • Unit 3. Pyspark SparkML
Introduction to Spark ML with Structured Data. Introduction to pyspark.ml packages for (Extracting, Transforming and selecting features, Classification and Regression, Clustering, Collaborative Filtering, Model Evaluation). Feature processing, Splitting data in Train, Test and Validation sets. Introduction to Algorithm analytics. Lab included
  • Unit 4. Feature Engineering
Introduction to Feature Processing. Types of features. Feature Scaling, Feature Bucketing. Feature Cleansing.
  • Unit 5. Advanced Feature Engineering
Feature Whitening. Feature Reduction. Part III. Machine learning
  • Unit 6. Machine learning steps and functions
Machine Learning algorithms. Machine Learning statistics. Machine Learning processing steps. Splitting Datasets.
  • Unit 7. Supervised Learning – Regression
Regression algorithms.Regression Trees, Linear Regression, Logistic Regression Lab included
  • Unit 8. Supervised Learning – Classification
Classification Algorithms Lab included
  • Unit 9. Unsupervised Learning – Clustering
Euclidean distance, Hierarchical Clustering. Clustering Data. K-means Clustering Algorithm. Lab Included
  • Unit 10. Deep Learning
Artificial Neural Networks, Multi-Layer Perceptrons and Convolutional Neural Networks Lab included
  • Unit 11. Data Pipelines in Spark
Anatomy of a data pipeline. Details on data pipeline operations. Data pipelines design considerations. feature selection and build Machine learning pipelines. Data engineering best practices for your data pipelines. Lab included
  • Unit 12. Machine Learning model management
Hyperparameters and hyperparameter tuning. Model management considerations. Part IV. GraphFrames
  • Unit 13. Introduction to GraphFrames and Graph Processing
Spark and Graphs. Graph Operators, Graph Builders, Graph Algorithms, GraphFrames Labs Included
  • Unit 14. Machine Learning and GraphFrames
Recommendation Algorithms. Clusterting. Labs Included
 
Get Personalized Training Solutions

Get Personalized Training Solutions

Need a personalized solution for your Training? Contact us, and our training advisors will guide you.

Contact Us Now

Need Help?

Need Help? We're Here!

Have questions about courses, instruction, materials covered, or finding the right fit? We're here to help!

Reach Out To Us

2023 Top 20 Training Industry Company - IT Training

Need Help?

Call us at 877-206-0106 or e-mail us at info@learnquest.com

Save Up to $500 This Summer

Soak up new skills this summer with exclusive discounts on our popular topics and courses.

PROMO CODE: SUMMER2024
VALID THROUGH AUGUST 31, 2024

Summer 2024 Promotion

IBM TechXchange Conference 2024

October 21-24 | Mandalay Bay, Las Vegas

Save $127 with Code: TECHXCHANGE10

Offer Expires June 30, 2024

Self-Paced Training Info

Learn at your own pace with anytime, anywhere training

  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
  • e-Learning content varies by course and technology.
  • View the Self-Paced version of this outline and what is included in the SPVC course.
  • Learn more about e-Learning

Course Added To Shopping Cart

bla

bla

bla

bla

bla

bla

Self-Paced Training Terms & Conditions

??spvc-wbt-warning??

Exam Terms & Conditions

??exam-warning??
??group-training-form-area??
??how-can-we-help-you-area??
??personalized-form-area??
??request-quote-area??

Sorry, there are no classes that meet your criteria.

Please contact us to schedule a class.
Close

self-paced
STOP! Before You Leave

Save 0% on this course!

Take advantage of our online-only offer & save 0% on any course !

Promo Code skip0 will be applied to your registration

Close
Nothing yet
here's the message from the cart

To view the cart, you can click "View Cart" on the right side of the heading on each page
Add to cart clicker.

Purchase Information

??elearning-coursenumber?? ??coursename??
View Cart

title

Date: xxx

Location: xxx

Time: xxx

Price: xxx

#Please take a moment to fill out this form. We will get back to you as soon as possible.#

#All fields marked with an asterisk (*) are mandatory.#

If you would like to request a quote for 5 or more students, please contact CustomerService@learnquest.com to be assigned an account representative.

Need more Information?

Speak with our training specialists to continue your learning journey.

 

Delivery Formats

Close

By submitting this form, I agree to LearnQuest's Terms and Conditions

heres the new schedule
This website uses third-party profiling cookies to provide services in line with the preferences you reveal while browsing the Website. By continuing to browse this Website, you consent to the use of these cookies. If you wish to object such processing, please read the instructions described in our Privacy Policy.
Your use of this LearnQuest site affirms your consent to our use of session and persistent cookies to track how you use our website.