Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - Autoregressive Linear Model for Time Series Prediction
In this video, we will dive into coding and learn about the autoregressive linear model for time series prediction. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep...
Curated Video
Financial Analysis - Build a ChatGPT Pairs Trading Bot - How to Code Yourself (Part 1)
In this video, you will learn to write Python code from scratch for financial analysis with ChatGPT using pairs trading strategies. This video will cover fundamental coding concepts such as data types, variables, loops, conditional...
Curated Video
Modern JavaScript from the Beginning - Second Edition - Typicode Todos Mini-Project - Part 2
In this video, we will continue building our Todo list app by adding the ability to delete todos and update their status. We will also cover how to use the PUT and DELETE methods in Fetch and how to handle success and error responses....
Curated Video
Machine Learning: Random Forest with Python from Scratch - Concluding remarks
In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly. This clip is from the chapter "Conclusion" of the series "Machine Learning: Random Forest with Python from...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Accuracy and Error-2
In this video, you will learn to implement the accuracy method to help determine our model's performance. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Best Slip
Here, we will determine the best split at any decision node where information is maximum and split into two branches, true and false. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Information Gain
In this video, we will define columns for questioning and determine how much information can be gained by splitting a column. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Impurity
Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Importing Data, Helper Functions
Before creating a decision tree, we will first learn to import our dataset using Pandas. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from Scratch©".This section...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Quick Implementation of Random Forest Model
Let's quickly implement Random Forest using the sklearn Random Forest model to tune the model's performance according to the project. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Categorical to Numeric Conversion
In a machine, it understands values in the form of numbers. You will learn how to convert non-numeric data to numeric without changing the feature of the value. This clip is from the chapter "Random Forest Step-by-Step" of the series...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Outliers Removal
In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Dealing with Missing Values
Let's look at the first step involved in the data cleaning process, which is filling or removing missing values from a dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Reading and Manipulating Dataset
Previously, you learned how to read a dataset; now, we will look at manipulating the data and using a sample dataset in our code. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Using Pandas for Random Forest (2)
This is a continuation of the previous lesson, and here we will look at conditionally selecting values from a dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Introduction to the Final Project
In this video, we will discuss our final project, which classifies the titanic dataset using Random Forest. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python from...
Curated Video
Machine Learning: Random Forest with Python from Scratch - Pros and Cons of Random Forest
In this video, we will look at the benefits and limitations of Random Forest and the complexities involved in decision-making using Random Forest. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine...
Curated Video
Machine Learning: Random Forest with Python from Scratch - How Decision Trees and Random Forest Work
We will understand what a decision tree is and create a decision tree and get a prediction result from the decision tree. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
Curated Video
Modern JavaScript from the Beginning - Second Edition - Delete Ideas
In this video, we will implement the ability to delete ideas from the list. This clip is from the chapter "RandomIdeas Project - Webpack Frontend (Bonus Project)" of the series "Modern JavaScript from the Beginning".In this bonus...
Curated Video
Data Science Model Deployments and Cloud Computing on GCP - Library Example with Chart.js
This video explains Chart.js, a popular charting library for JavaScript. It makes what would be a difficult combination of styling, layout, and data positioning into an easy to manage ordeal, saving developers loads of time in creating...
Curated Video
Data Science Model Deployments and Cloud Computing on GCP - Lab - Assignment Implement Caching
In this lab assignment video, we will be testing your knowledge of caching in Python applications by asking you to implement a caching mechanism. This clip is from the chapter "Google App Engine - For Serverless Applications" of the...
Curated Video
Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python - BigQuery Application
In this video, we walk you through the process of deploying a Python application that interacts with BigQuery, showing you how to set up and configure your BigQuery project, how to create a basic Flask application that integrates with...
Curated Video
Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification
This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Curated Video
Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...