Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering
Released 2/2023
MP4 | Video h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 29m | Size: 231 MB
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the data engineering portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. After walking you through the technology prerequisites and the tools you will use, Noah dives into creating data repositories, identifying and implementing data ingestion and transformation solutions, designing and implementing data warehousing solutions, and enabling data access and discovery. He also presents practical demos of AWS Batch, step functions, EMR Spark, and more.

Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills.
Duration: 1h 16m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 191 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Machine Learning and AI Foundations: Decision Trees with SPSS

Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus is not on sorting data into known categories but uncovering hidden patterns. Unsupervised learning plays a big role in modern marketing segmentation, fraud detection, and market basket analysis. This course shows how to use leading machine-learning techniques—cluster analysis, anomaly detection, and association rules—to get accurate, meaningful results from big data.
Instructor Keith McCormick reviews the most common clustering algorithms: hierarchical, k-means, BIRCH, and self-organizing maps (SOM). He uses the same algorithms for anomaly detection, with additional specialized functions available in IBM SPSS Modeler. He closes the course with a review of association rules and sequence detection, and also provides some resources for learning more.
All exercises are demonstrated in IBM SPSS Modeler and IBM SPSS Statistics, but the emphasis is on concepts, not the mechanics of the software.
Duration: 3h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 532 MB

Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of real-world problems. Applications areas involve predicting virtually any numeric value including housing values, customer spend, and stock prices. This course reveals the concepts behind the most important linear regression techniques and how to use them effectively. Throughout the course, instructor Keith McCormick uses IBM SPSS Statistics as he walks through each concept, so some exposure to that software is assumed. But the emphasis will be on understanding the concepts and not the mechanics of the software. SPSS users will have the added benefit of being exposed to virtually every regression feature in SPSS.
Instructor Keith McCormick covers simple linear regression, explaining how to build effective scatter plots and calculate and interpret regression coefficients. He also dives into the challenges and assumptions of multiple regression and steps through three distinct regression strategies. To wrap up, he discusses some alternatives to regression, including regression trees and time series forecasting.
Duration: 3h 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 627 MB
Level: Intermediate | Genre: eLearning | Language: English

Discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations. In this hands-on course, Lillian Pierson, P.E. covers the different types of recommendation systems out there, and shows how to build each one. She helps you learn the concepts behind how recommendation systems work by taking you through a series of examples and exercises. Once you're familiar with the underlying concepts, Lillian explains how to apply statistical and machine learning methods to construct your own recommenders. She demonstrates how to build a popularity-based recommender using the Pandas library, how to recommend similar items based on correlation, and how to deploy various machine learning algorithms to make recommendations. At the end of the course, she shows how to evaluate which recommender performed the best.
Duration: 1h 38m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 177 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Building a Recommendation System with Python Machine Learning & AI

Amazon Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft better, more intelligent solutions. In this course, learn about patterns, services, processes, and best practices for designing and implementing machine learning using AWS. Instructor Lynn Langit takes a look at general machine learning concepts, including key machine learning algorithm types. She also examines available service types, such as AWS Machine Learning, Lex, Polly, and Rekognition, which you can use to predict image and video labels. Plus, she steps through how to work with platforms like AWS SageMaker, which includes hosted Jupyter notebooks.
Duration: 3h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 528 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Amazon Web Services Machine Learning Essential Training

Matt Clark - The Omnichannel Machine Download Free 2023 | 16.1 GB
What You Get:

and expand your skills
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.44 GB | Duration: 3h 51m

Master the Art of B2B Sales: Techniques, Tools, and Strategies for Success
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.12 GB | Duration: 1h 52m

Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners.
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 411.79 MB | Duration: 1h 22m