Curated Video
Master SQL for Data Analysis - Cross-Join
In this lesson, you will learn about combining datasets and tables with very little or no common factors among them. This clip is from the chapter "SQL - Combining Data from Multiple Tables" of the series "Master SQL for Data...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Making Recommendations
In this lesson, you will learn to create a recommendation and use a brute-force algorithm to generate the recommendation. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Accuracy Versus Recommendations
In this video, we will perform data visualization with the project we created and check the model’s accuracy. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Train and Validation
After entirely developing our model, you will learn to fit and evaluate the model for functionality. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Compute Loss
Here, we will look at the next step of training our model: the compute loss function. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Candidate Tower and Retrieval System
In this video, you will learn how to create a candidate tower and develop a retrieval system. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Making the Model and Query Tower
In this lecture, you will learn to develop our model and create a query tower to perform retrieval tasks. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Random Train-Test Split
In this lesson, you will learn to perform the test train split, which will do the training split and then create a prediction; we will use a random dataset (80-20 ratio). This clip is from the chapter "Project Amazon Product...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Rating Our Data
In this video, you will learn about the next part of the project, which is rating our data. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Make Tensors from DataFrame
In this video, we will continue to check our dataset using a single username. We will use a part of the DataFrame to do so. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems:...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Data Visualization with WordCloud
In this video, you will learn how to load a dataset for the project being developed, using WordCloud, importing WordCloud, STOPWORDS, and ImageColorGenerator. This clip is from the chapter "Project Amazon Product Recommendation System"...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated. This clip is from the chapter...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Integration with Boto
In this lesson, we will discuss deploying our chatbot using code. We will not use a built-in application such as Twilio; instead, we will use a Python library—Boto. This clip is from the chapter "Chatbots Development with Amazon Lex" of...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Chatbot Development with AWS Lex and AWS Lambda: Session state Dialog Hook and Dialog Action
In this lecture, we will understand what a session state is, basically the state of the conversation between the user and the Amazon Lex chatbot and dialog action, which determines the action that Amazon Lex should take to the Lambda...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Predictions
After checking our model for accuracy, we will make predictions of our results from the model we created. We will visualize the predictions using the test data. This clip is from the chapter "Advanced Chatbots with Deep Learning and...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Encoding
We will begin to develop our deep learning model and input placeholders to store the maximum story length and question length and define the vocabulary size. We will now build our encoder using the sequential model. This clip is from the...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts. This clip is from the chapter "Advanced Chatbots with Deep...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Solving Linear Systems
In this video, we will work on solving an example problem to understand linear systems. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section of the...
Curated Video
The Complete Vue.js Course for Beginners - If Else Condition
In this video, we will discuss the if-else condition using a code. This clip is from the chapter "Getting Started with Basic Code" of the series "The Complete Vue.js Course for Beginners".This section gets you started with the basic code...
Curated Video
The Ultimate Excel VBA Course - Learn and Master VBA Fast - Multidimensional Arrays
This video explains multidimensional arrays, which are made by adding a comma after the first number between round brackets of your array name, then adding another number. This clip is from the chapter "Arrays" of the series "The...
Curated Video
The Ultimate Excel VBA Course - Learn and Master VBA Fast - Logical Operators
This video explains logical operators in VBA such as AND, OR, NOT. This clip is from the chapter "VBA Conditional Statements" of the series "The Ultimate Excel VBA Course - Learn and Master VBA Fast".This section explains the various...
Curated Video
The Ultimate Excel VBA Course - Learn and Master VBA Fast - InStr, InStrRev, and StrReverse
This video explains Instr and InstrRev, where Instr is looking from the start to the end, while InstrRev is looking from the end of the string to the beginning. The StrReverse returns a string by reversing the original string supplied....
Curated Video
The Ultimate Excel VBA Course - Learn and Master VBA Fast - VBA Practice Conditional Operators
This video is a practice session on conditional operators where if a person scores 85 and above, we will want to grade an A along with changing the background color of the cell. This clip is from the chapter "VBA Conditional Statements"...