Angela  Dickens

Angela Dickens


Your Must-Know Tweaks & Tricks

Have you got a hierarchical classification task that’s just begging for a machine learning model? Have you decided opting for an ensemble of local classifiers, and even decided on the best local-classifier structure for that very task? Is your keyboard all warmed up, fingers ready and raring to go? Well, just a minute now. You might wanna sit back down.

If you’ve read my previous posts on the subject of hierarchical classification, you have definitely got all the basics down. However, there are some important final details you should make yourself acquainted with. Whether it’s how to choose your training examples and feature sets, how to avoid error propagation, or ways to handle classification inconsistencies  this is one post you want to read before implementing your first real-life hierarchical model.

Before We Dive In

The topic of hierarchical local classifiers is a lengthy one, and understanding the intricacies described below requires you to be familiar with:

  1. Data Taxonomy & Hierarchical Classification
  2. Hierarchical Local Classifiers and their Different Structures

If that’s not the case, go ahead and read about them. It’s okay. We’ll wait.

Throughout this post, as in my previous ones, I’ll be giving examples based on this taxonomy of common house pets:

Image for post

The taxonomy of common house pets. I hear rainbow unicorns are extremely hard to house-train.

Down to Business

Are you building your very own hierarchical ensemble model? Have you defined your data taxonomy, picked out your favorite local-classifier structure, rolled up your sleeves, and you’re all set to go ahead and get that model cracking?

You’re almost there, champ. But before you turn that data sciencing engine on, there are just a few more points you should take the time to consider.

#machine-learning #data-science #classification #data analysis

What is GEEK

Buddha Community

 Your Must-Know Tweaks & Tricks
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

CSS : 3 CSS Tricks You Must Know 2021

3 Must know CSS tricks with Great Examples


00:00 Introduction to video
00:10 Blend Mode
01:33 Clip Path
03:47 Google Fonts

##codewelltech #css #youtube #tricks #must #interview

Seven CSS Tricks You Don't Know About!

In this video, I am going to teach you how to create seven really simple but cool things with CSS3. The codepen links will be available on my blog.

What you will learn:

  1. Disable Link Click
  2. Image Rendering
  3. Target Specific File Extension
  4. Background Clipping
  5. Sticky Bar
  6. Image Filters
  7. Unicode Classes


Vibe With Me by Joakim Karud Music promoted by Audio Library

#css #tricks #css tricks you don't know about

Paula  Hall

Paula Hall


4 Pandas GroupBy Tricks You Should Know

Use Pandas GroupBy more flexibly and creatively

As one of the most popular libraries in Python, Pandas has been utilised very commonly especially in data EDA (Exploratory Data Analysis) jobs. Very typically, it can be used for filtering and transforming dataset just like what we usually do using SQL queries. They share a lot of similar concepts such as joining tables. However, some features from them have the same names but different concepts. “Group By” is one of them.

In this article, I’ll introduce some tricks for the Pandas group by function, which could improve our productivity in EDA jobs. Hopefully at least one is something you never familiar with so that it could help you.

I’m sure that you know how to import Pandas in Python, but still, let me put it here. All the rest of the code in this article assume Pandas has been imported as follows.

import pandas as pd

#python #technology #data-science #programming #4 pandas groupby tricks you should know #pandas groupby tricks

Samanta  Moore

Samanta Moore


Why You Must Know Abstraction?

One of the fundamental concepts in Oop that you must know.

Through this article, I will be discussing the concept of **_Abstraction _**and how we can achieve it partially or completely in java programming. I have already covered other important pillars of OOPs that are InheritancePolymorphismEncapsulation, and Compositions. After reading this article you would be in a position to answer this question in your next interview.

What Is Abstraction?

It is one of the pillars of OOP like InheritanceEncapsulation, and Polymorphism.The basic English meaning of Abstraction is the quality of dealing with ideas rather than events. Did you get it? I know it’s hard to grasp.Let me put its definition in another way **basically it deals with hiding the internal details and showing the essential things to the end-user.**A real-life example of abstraction can be using an electric circuit board. We use the buttons to turn on and off the electrical devices through the circuit board. We know a lot of things happen inside the board. Here we are using the functionality provided and we aren’t interested in the actual working of the circuit board.Now let’s relate this example with classes and interface. The surface of the electric board is an Interface and the actual implementation of the electric circuit board is a class.

#java-programming #software-engineering #abstraction #software-development #java #why you must know abstraction?