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Sukriti Macker

@Sukriti_Macker

6 Aug

What is Accuracy in Machine Learning? Why shouldn't you use accuracy as a Performance Parameter? Is there a drawback? 🤔

A beginner-friendly explanation! 🧵👇

A compiled version of the thread: diveintodata.in/accuracy-perfo…

☑️ What are Performance Metrics?
To study the effectiveness of a product or device in any field, we use performance metrics. Additionally, we can use performance metrics to measure how a machine learning model performs. The performance metrics provide the results in numbers.

Read 15 tweets

Sukriti Macker

@Sukriti_Macker

26 Jul

Have you found the concept of Decision Trees confusing? Well, this thread would be useful!

A beginner-friendly DETAILED explanation to Decision Trees 👇🧵

🌟 What is a Decision Tree?
It is a Classification Algorithm. Decision Trees can use it to solve Regression problems as well. It is a tree or graph-like structure with a root node, non-leaf nodes, leaf nodes and branches.

See an example of Decision Tree using AND Table (Image)

Let's understand two terms first:-

What is splitting?
Splitting is dividing the nodes into two or more sub-nodes based on the outcome. In the "Yes or No" case, a node will split into two sub-nodes, one pointing towards the outcome of YES & the other towards NO.

Read 16 tweets

Sukriti Macker

@Sukriti_Macker

19 Jul

Most of us know that Logistic Regression is a Classification Algorithm! But why does it have the word 'regression' in it?

Let me explain 👇👇

🌟 Let's start by basics:-

Classification: It is a process of putting things/items into a category.
When you a fruit bowl. You can separate all the fruits by categorising them by name, type, or size.

Classification can be binary or multi-class.

Binary Classification is where there exist only two categories.
Multi-Class is where there exist more than two categories.

(See the image below)

Read 8 tweets

Sukriti Macker

@Sukriti_Macker

12 Jul

Some of us were looking for a place to start off our Machine Learning and Data Science Journey.

I have some resources that can help you! 😁

Check them out👇👇

1. 100 Days of Code by Ayon Roy
This repository is a gold mine for someone who is looking to begin ML. It explains to you how to go about every little topic.

Link: https://bit .ly/3wtWFwx

2. Kaggle Courses
Another phenomenal source to get started with Data Science and Machine Learning. It has topic-wise courses that can up-skill you.

Link: https://www.kaggle .com/learn

Read 10 tweets

Sukriti Macker

@Sukriti_Macker

9 Jul

Do you know about the SLICING technique that helps you work around strings in Python??

To handle sub-strings, you can use the SLICING method.
👇👇

Let's say we have a string.

a = "This is a string."

You can slice between the string!

👉 a[start_index : end_index : stride]

Terms:-
start_index -> Takes an integer value; this is the index value (inclusive) from where you want to start slicing.

end_index -> Takes an integer value; this is the index value (exclusive) where you want the slicing to end.

stride -> Takes an integer value; indicates how many characters to skip after the first character is retrieved.

Note: The first character index is always 0.

Read 8 tweets

Sukriti Macker

@Sukriti_Macker

7 Jul

The topic of TRIGGERS is a level-up from creating queries and sub-queries in the handling databases.

A super-easy guide to triggers in SQL 🧵👇

☑️ What is a trigger in the laymen (standard) language?

When someone pokes you or does something to agitate you, there is a high chance that you might get 'triggered' automatically! Right?

☑️ Triggers in SQL

So, when we say TRIGGERS in SQL, it is simply a stored program that gets executed on its own when a triggering event occurs. Now, triggers are a part of PL/SQL.

PL/SQL is an extension of SQL where SQL queries are used and procedural statements/language.

Read 14 tweets

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