In this video post I have explained about the below ML FAQ:
1. What is Gini
2. What is Gini Index
3. How to calculate Gini and Gini Index
4. How Gini Index helps to decide the Parent and Decision nodes in Decision Tree
Author: Ashutosh Tripathi
What is Entropy and Information Gain in Decision Tree?
In this video I will be explaining about the following ML questions:
1. How to Interpret Decision Tree
2. How splitting happens in the decision tree.
3. What is Entropy?
4. What in Information Gain?
5. How Information gain helps to decide the parent node and further node split?
How To Install VSCODE IDE On Windows | Visual Studio Code
Visual Studio Code or vscode is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Java, Python, PHP, Go) and runtimes (such as .NET and Unity). In this post, I will explain step by step guide on how to install vscode ide on windows. We will install vscode and setup python environment to execute python programs.
How to Install Python on Windows [VSCODE IDE]
Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. In this article we will see
How to install Python on windows,
Verify if it installed correctly and
Create and run one hello-world program.
A Step by Step Guide to Implement Decision Tree using Python | Machine Learning
In this we will learn from scratch how to implement decision tree using python. We will solve one classification problem and build the model from scratch. Following are the points we will be covering in this post:
Exploratory Data Analysis – EDA
Data Visualization
Data Pre-processing
Data Spliting- Stratified Sampling
Oversampling – SMOTE
Model Training
Fine Tuning
Hyper parameter Tuning
Machine Learning Interview Questions and Answers | part 1
ML FAQ Part 1
What is ROC-AUC curve and how to interpret it?
Explain Type I and Type II errors.
What is Precision and Recall?
What is F1 score?
What is the difference between r-square and adjusted r-square values?
Data Science Duniya 