Curated Video
HTML Tutorial for Beginners(2022) - Set Work Title in HTML
Learn how to set the title of work in HTML. We will use the tag for this. An example will also be demonstrated with live output. This clip is from the chapter "HTML Quotation and Citation" of the series "HTML Tutorial for...
Curated Video
HTML Tutorial for Beginners(2022) - Set Background Image on a Web Page in HTML
Learn how to set a background image on a web page in HTML. This clip is from the chapter "Images in HTML" of the series "HTML Tutorial for Beginners (2022)".This section delves into adding images into a web page using HTML. We will also...
Curated Video
HTML Tutorial for Beginners(2022) - Internal CSS in HTML
Learn how to add CSS to an HTML web page. Internal CSS allows you to add CSS to a web page using the style element/ tag. We will also see a live running example to understand the concept. This clip is from the chapter "HTML CSS Styles"...
Curated Video
HTML Tutorial for Beginners(2022) - Inline CSS in HTML
In HTML, we can easily set the CSS styles. Use the style attribute and set any style on any element, like background color, font color, font size, font style, and so on. This clip is from the chapter "HTML CSS Styles" of the series "HTML...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Why Dimensionality Reduction
In this video, we will understand why dimensionality reduction is needed. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Features Dimensions
In this video, we will cover features dimensions. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Why Feature Selection
In this video, we will understand why feature selection is needed. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Introduction
In this video, we will cover similarity based methods introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Kernel PCA
In this video, we will cover Kernel PCA. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Encoder Decoder Networks for Dimensionality Reduction Versus Kernel PCA
In this video, we will cover encoder decoder networks for dimensionality reduction versus Kernel PCA. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers Famous Distributions Python
In this video, we will cover law of large numbers famous distributions Python. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers
In this video, we will cover law of large numbers. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: Data Standardization
In this video, we will cover data standardization. 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 this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Activity
In this video, we will cover activity. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: OneToMany Model
In this video, we will cover OneToMany model. This clip is from the chapter "Deep learning: Recurrent 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
Data Science and Machine Learning (Theory and Projects) A to Z - Overfitting, Underfitting, and Generalization: Overfitting Example in Python
In this video, we will cover an overfitting example in Python. 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 this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: MLE
In this video, we will cover MLE.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Loglikelihood
In this video, we will cover Loglikelihood.
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - [Exercise] Elastic MapReduce - Part 1
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
Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Cardinality of a Set
In this video, we will cover cardinality of a set. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Features Practice with Python
In this video, we will cover features practice with Python. 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 this section,...
Food Farmer Earth
How to Roast Chestnuts
Organic chestnut farmer, Chris Foster demonstrates how to roast fresh chestnuts. Chestnut season runs between October and December. This is the time of year to enjoy roast chestnuts at their peak of freshness over the holiday season.
Professor Dave Explains
Performing Thin Layer Chromatography (TLC)
We've learned a few separation techniques, so how about one more? Chromatography separates components of a mixture by virtue of their differing polarities, and thin layer chromatography, or TLC, is an invaluable technique that is used...
The Business Professor
Marketing - What Distorts the Results of Marketing Research
This Video Explains Marketing - What Distorts the Results of Marketing Research