Thread by Avi Kumar Talaviya
- Tweet
- Mar 1, 2023
- #ComputerProgramming
Thread
The decision tree algorithm is a popular machine-learning technique used for classification and regression analysis.
Let's explore this algorithm and its real-world use cases. 🌳👩💻
🧵👇
Let's explore this algorithm and its real-world use cases. 🌳👩💻
🧵👇
1/ What is Decision Tree Algorithm?
A decision tree is a tree-like model used for making decisions based on a series of conditions or rules.
It's a popular algorithm used in machine learning and data science for classification and regression analysis.
A decision tree is a tree-like model used for making decisions based on a series of conditions or rules.
It's a popular algorithm used in machine learning and data science for classification and regression analysis.
2/ How Does it Work?
The decision tree algorithm works by recursively splitting the data into smaller subsets based on the most significant feature or condition.
The goal is to create a tree-like model that predicts the outcome based on the conditions or rules.
The decision tree algorithm works by recursively splitting the data into smaller subsets based on the most significant feature or condition.
The goal is to create a tree-like model that predicts the outcome based on the conditions or rules.
3/ Use-Cases in the Real World:
The decision tree algorithm has a wide range of applications in various fields, including:
The decision tree algorithm has a wide range of applications in various fields, including:
• Customer Segmentation:
A decision tree can be used to segment customers based on their demographics, behavior, and preferences. For example, it can be used to identify which customers are likely to churn.
A decision tree can be used to segment customers based on their demographics, behavior, and preferences. For example, it can be used to identify which customers are likely to churn.
• Healthcare:
A decision tree can be used for diagnosing diseases and predicting patient outcomes based on their symptoms, medical history, and test results.
• Finance:
A decision tree can be used for credit risk analysis, fraud detection, and investment decision-making.
A decision tree can be used for diagnosing diseases and predicting patient outcomes based on their symptoms, medical history, and test results.
• Finance:
A decision tree can be used for credit risk analysis, fraud detection, and investment decision-making.
4/ Implementation:
To implement a decision tree algorithm in Python, we can use the scikit-learn library. Here's a sample code snippet:
To implement a decision tree algorithm in Python, we can use the scikit-learn library. Here's a sample code snippet:
5/ Conclusion:
A decision tree algorithm is a powerful tool for classification and regression analysis with various real-world applications.
By understanding this algorithm, you can make better decisions in your field of work.
A decision tree algorithm is a powerful tool for classification and regression analysis with various real-world applications.
By understanding this algorithm, you can make better decisions in your field of work.
Learn about the TOP 10 ML algorithms from @DataKwery with their use cases 🙌👍
Click the link below to learn more👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
Click the link below to learn more👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
Join FREE Auto EDA and Advanced Data Frame Querying workshop with @DataKwery
Click the link below to sign up
us02web.zoom.us/webinar/register/4416769414682/WN_Kdz5k4LfR16Bsk5n2l2GpA
Click the link below to sign up
us02web.zoom.us/webinar/register/4416769414682/WN_Kdz5k4LfR16Bsk5n2l2GpA
Are you looking to convert a wide range of unstructured web data into structured data to scale your business with user insights?
Then, look no further than bright data, check out their solutions, and sign up now👇
get.brightdata.com/ho80fy0pazk1
Then, look no further than bright data, check out their solutions, and sign up now👇
get.brightdata.com/ho80fy0pazk1
End of this thread!👍
If you've found it informative then do like, RT/QT first tweet, and comment what you think on this💬
And Don't forget to follow me at @avikumart_ and @DataKwery for more updates🔥👍
If you've found it informative then do like, RT/QT first tweet, and comment what you think on this💬
And Don't forget to follow me at @avikumart_ and @DataKwery for more updates🔥👍
