Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Learning Rate
In this video, we will cover DNN learning rate. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Azure Data Factory for Beginners - Build Data Ingestion - Create Source Dataset
This video helps in creating source dataset. This clip is from the chapter "Event-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction
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Azure Data Factory for Beginners - Build Data Ingestion - Create Sink Dataset
This video demonstrates creating sink dataset. This clip is from the chapter "Event-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction
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Azure Data Factory for Beginners - Build Data Ingestion - Create Data Factory and Read Metadata
This video explains creating Data Factory and reading metadata. This clip is from the chapter "Event-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction
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Azure Data Factory for Beginners - Build Data Ingestion - Add Dataset to Read Files
This video talks about adding dataset to read files. This clip is from the chapter "Event-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Training Process, Error, Cost and Loss
In this video, we will cover the training process, error, cost, and loss. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Transfer Learning: What is Transfer learning
In this video, we will explain what is transfer learning. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
NASA
NASA | OIB: NASA and ESA in an Arctic Alliance
For the second straight year, NASA's Operation IceBridge is collaborating with the European Space Agency's CryoVEx program, flying aircraft low over Arctic sea ice while ESA's CryoSat satellite orbits above. In this video, IceBridge...
Curated Video
Comprehensive Android Developer Bootcamp - Listviews vs RecyclerViews
Android Listviews and RecyclerView Widgets:Listviews vs RecyclerViews This clip is from the chapter "Android Listviews and RecyclerView Widgets" of the series "The Comprehensive Android Developer Bootcamp".This section shows how to work...
Curated Video
REST API Automation Testing from Scratch - REST Assured Java - Example on Parameterization of API Tests with Multiple Datasets
This video presents an example on parameterization of API tests with multiple datasets. This clip is from the chapter "Handling Dynamic JSON Payloads with Parameterization" of the series "REST API Automation Testing from Scratch - REST...
Curated Video
PySpark and AWS: Master Big Data with PySpark and AWS - Solution (Average)
Let's discuss a solution for the quiz on average. This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.
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PySpark and AWS: Master Big Data with PySpark and AWS - Projects Overview
This video provides a brief description of the various projects we will be building together. This clip is from the chapter "Introduction" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".Welcome to the course. This...
Curated Video
pandas for Python - A Quick Guide - Processing String Format
In this lesson, we will continue processing data, but this time with string format data. String features have their operations. We will look at all the powerful tools on Pandas for handling string data. This clip is from the chapter...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building and Using the Model for Prediction - Project 1 - Banknote Authentication
In this video, you will learn how to build and use the model for prediction. This clip is from the chapter "Project 1 - Banknote Authentication" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section,...
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No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building the Model - Project 4 - Wine Quality Prediction
In this video, you will learn how to build the model. This clip is from the chapter "Project 4 - Wine Quality Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding and Joining Datasets
In this video, you will learn how to add and join datasets. This clip is from the chapter "Project 4 - Wine Quality Prediction" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we will work on a...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Getting Datasets for Practice
In this video, you will learn how to get datasets for practice. This clip is from the chapter "Congratulations and Next Steps" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".Welcome to the last section of our...
Curated Video
Data Analytics using Python Visualizations - Plotting Regression Lines with OLS (ML)
This video explains plotting regression lines with OLS (ML). This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Curated Video
Data Analytics using Python Visualizations - Stock Trend / Time Series Plot and Annotations
This video explains stock trend / time series plot and annotations. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Importing the Dataset
In this video, you will learn how to import the dataset. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
Curated Video
Practical Data Science using Python - Support Vector Machine - Classifying Polynomial Data
This video explains Support Vector Machine - classifying polynomial data. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section...
Curated Video
Practical Data Science using Python - Random Forest - Model Building and Hyperparameter Tuning using Grid Search CV
This video explains random forest - model building and hyperparameter tuning using grid search CV. This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains...
Curated Video
Practical Data Science using Python - Pandas DataFrame 2
This video explains the describe() DataFrame command. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
Curated Video
Practical Data Science using Python - Logistic Regression - Model Optimization 2
This video demonstrates how to predict the level by taking 0.3 as the optimum threshold. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.