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.

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Blockchain

Blockchain Vs. Data Science: What You Need to Know [A Complete Guide]

What is popular between blockchain and big data/data science? A few aspects that quickly struck our minds are that they are both of the best new technologies. Both have the ability to revolutionize the way industry works, and both provide promising career prospects. Blockchain encompasses many of the lucrative coins like BTC, Etherium, free xlm, etc.

Although data science is a comparatively well-established technique, blockchain is at a developing level. Let us explain more about each of them in order to evaluate them better.

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 2 | ML Faq

This post is part 2 in the series of frequently asked Machine Learning Interview Questions and Answers. Machine Learning Frequently asked Interview Questions and Answers Part 2

1. What is Feature Scaling and why and where it is needed?
2. Normalization vs Standardization
3. What is the bias-variance trade-off?
4. Define the Overfitting problem and why it occurs?
5. What are the methods to avoid Overfitting in ML?

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