Curated Video
Fine-tuning a GPT Model: Understanding Data Formats
In this lesson, we will discuss the format of the data used for fine-tuning a GPT model. We will begin by exploring how to prepare different data sets, discussing their strengths and weaknesses, and sharing tips on how to have good data...
Curated Video
Mastering Fine-tuning for NLP Applications
In this lesson, you will learn about the powerful technique of fine-tuning pre-trained models for specific natural language processing (NLP) applications. You will cover key concepts and the necessary steps required to successfully...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Elastic MapReduce, Part 2
This video explains how to use Apache Spark and MLLib (its machine learning library) on an Amazon EMR cluster to consume the order data in an Amazon S3 data lake and produce product recommendations for the customers. This clip is from...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - Choosing Visualization Types
This video explains how to select the visualization types in Amazon QuickSight. This clip is from the chapter "Domain 5: Visualization" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, you will...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - AWS Step Functions
This video focuses on AWS step functions. This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, we will complete our "order history app" example by...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - AWS Glue DataBrew
This video focuses on AWS Glue DataBrew. This clip is from the chapter "Domain 3: Processing" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, we will complete our "order history app" example by...
Curated Video
AWS Certified Data Analytics Specialty 2021 – Hands-On - AWS Data Exchange
This video covers AWS data exchange. This clip is from the chapter "Everything Else" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, you will learn about Amazon Web Services (AWS) service...
Curated Video
Data masking control
In this video, we will be discussing data masking control and how it can help protect sensitive information. Data masking is the process of obscuring or hiding certain data elements within a database or application. This can include...
Curated Video
Predictive Analytics with TensorFlow 4.2: From Disaster to Decision –Titanic Example Revisited
In this video, we will see how we could develop several predictive models for Titanic survival prediction and do some analytics using them. In particular, we will discuss logistic regression, random forest, and linear SVM. We start with...
APMonitor
Polymer MFR Regression
Polymer properties such as density, melt index, and melt flow rate must be kept within tight specifications for each grade. This case study is to analyze polymer production data to predict melt flow rate. 0:00 Introduction to Polymer...
Curated Video
Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...
Curated Video
Julia for Data Science (Video 17)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Fun Robotics
Iris Flower Classification Model
Training a classification model to predict the class of an Iris flower.
Curated Video
Evaluate the accuracy of an artificial intelligence system : Pointers on Evaluating the Accuracy of Classification Modelling
From the section: Supervised Learning: Classification. In this section, the author talks about kNN- Classification, Naive Bayes Classification, SVM- Linear and Non-Linear Classification and also Gradient Boosting Machine (GBM)....
Fun Robotics
Project Text Classification
Implementing a Text Classification project by using Natural Language Processing to understand the sentiment of move reviews
Curated Video
Create a machine learning model of a real-life process or object : Implementing a Simple Linear Regression Algorithm
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
APMonitor
Classification and Regression: Concrete Strength
This case study is to determine the factors (inputs) that have correlation to the concrete compressive strength (output). 0:00 Introduction 2:35 Download Jupyter Notebook 4:00 Import Machine Learning Packages and Data 7:33 Part 1: Data...
Fun Robotics
Weight Prediction Model
Training and testing a regression model to predict the weight of the fish.
Curated Video
Data Science and Machine Learning with R - Linear Regression: A Simple Model Introduction
This video explains a simple linear regression model. This clip is from the chapter "Linear Regression: A Simple Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
Curated Video
Ensemble Machine Learning Techniques 2.5: Ensemble Learning for Regression
In this video, we will use python to write a simple ensemble learning model for Regression. • We will use Jupyter Notebook to execute our code • Use of Height vs weight to demonstrate the ensemble technique • Use different models instead...
Curated Video
Julia for Data Science (Video 7)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Curated Video
Data Science and Machine Learning with R - Linear Regression in R - Real Model
This video explains linear regression in R. This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains a real model...
APMonitor
Data Science 🐍 Statistical Analysis
Once data is read into Python, a first step is to analyze the data with summary statistics. This is especially true if the data set is large. Summary statistics include the count, mean, standard deviation, maximum, minimum, and quartile...