Curated Video
Advanced Chatbots with Deep Learning and Python - Importing Libraries
This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow, NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model.
Curated Video
Advanced Chatbots with Deep Learning and Python - Project Overview and Packages
After theoretically learning about chatbots, we will now develop a chatbot practically by importing the requisite libraries—TensorFlow NumPy, Keras, and Pickle. We will build a chatbot based on a story and make predictions of true or false.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Filtering Data Preparation
In this video, you will learn to implement Python to develop item-based collaborative filtering using Pandas, NumPy, and Matplotlib.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Preparation for Content-Based Filtering
In this lesson, you will learn to develop content-based filtering for a recommender system using Python.
Curated Video
Fundamentals of Secure Software - Software and Data Integrity Failures
This video talks about software and data integrity failures.
Curated Video
Fundamentals of Secure Software - Vulnerable and Outdated Components
This video explores using components with known vulnerabilities.
Curated Video
Fundamentals of Secure Software - Introduction to OWASP Top 10
This video is a high-level walkthrough of the OWASP Top 10 and other OWASP resources.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Download Libraries
Here, you will learn to implement the Amazon product recommendation system using deep learning. We will import the requisite libraries and build and train the deep learning-based model using TensorFlow.
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Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Dataset Discussion
In this video, we will look at the various libraries we would need to import for this project, including os, math, NumPy, time, and Pandas.
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SwiftUI and Node.js Full Stack - Build Twitter - iOS 16 - Downloading Node.js
This video helps you with downloading and installing Node.js and NPM.
Curated Video
React JS Masterclass - Go From Zero To Job Ready - Course Introduction
This introductory video provides an overview of the course's content, the pros and cons of learning about React 18, its features, and what you will learn from the course, along with a brief outline about the instructor.
Curated Video
Social Media Automation using Python - Coding a Simple Scheduler
In this lecture, we will look at creating a simple scheduler. We will first import the requisite libraries and then write a simple code to create a scheduler to automate the task. This clip is from the chapter "Scheduling" of the series...
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Recommender Systems with Machine Learning - Dataset Discussion
This video involves a deep understanding of the dataset to be explored for this module. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine...
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Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation
This video explains and demonstrates item-based filtering data preparation. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
Curated Video
Recommender Systems with Machine Learning - Item-Based Collaborative Filtering
This video demonstrates item-based collaborative filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...
Curated Video
Recommender Systems with Machine Learning - Data Preparation for Content-Based Filtering
This video explains data preparation for content-based filtering with machine learning. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
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Recommender Systems with Machine Learning - Content-Based Filtering-2
This video helps you with content-based filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning for...
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Linux Operating System: A Complete Linux Guide for Beginners - Writing and Running Code Using Terminal (C Language)
In this video, you will learn how to write and running a C program using the Linux terminal. This clip is from the chapter "Advanced Features" of the series "Linux Operating System: A Complete Linux Guide for Beginners".In this section,...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Importing Libraries
This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model. This clip is from the chapter...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Project Overview and Packages
After theoretically learning about chatbots, we will now develop a chatbot practically by importing the requisite libraries, TensorFlow NumPy, Keras, and Pickle. We will build a chatbot based on a story and make predictions of true or...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Project: Conversational Chatbot Development with Machine Learning: Project Overview and Packages
In this lesson, we will go over the project conception in detail and install and import all the required libraries for the project, input the data, and perform other tasks to project completion. This clip is from the chapter "Basics of...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Download Libraries
In this video, you will learn to implement the Amazon recommender system using the TensorFlow recommender based on specific user behavior. You will learn to download and import particular libraries for the project. This clip is from the...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Starting Lambda Code
In this video, we will prepare to write the code for the chatbot; we will import a few required libraries, including JSON, datetime, and time. This clip is from the chapter "Chatbots Development with Amazon Lex" of the series "Chatbots...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Introduction and Outline
In this video, we will get introduced to the course and understand the learning objective. This clip is from the chapter "Welcome and Logistics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".Welcome...