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30 Jan

Hierarchical Clustering Algorithm

Thanmai Chandaka0 CommentsBlogclustering, DataScience, Hierarchical Clustering, Machine learning, Machine learning models, Programming, Python, Unsupervised Learning, What is Hierarchical Clustering?

Hierarchical Clustering is a type of unsupervised machine learning algorithm used to group similar data points together. The goal of this algorithm is to create a hierarchy of clusters, where each cluster is a subset of the previous one. The algorithm starts by treating each data point as its own cluster. It then repeatedly merges the two closest clusters, until all points are in the same cluster or a stopping criterion is met. The result is a tree-like structure called a dendrogram, which shows the hierarchy of the clusters. There are two main types of Hierarchical Clustering: Agglomerative and Divisive.…

20 Jan

How to connect OpenAI api with python code

geekycodesco0 CommentsBlog, PythonAPI, ChatGPT, GPT3, OpenAI, Programming, Python

To connect OpenAI API with Python code, you will need to use the OpenAI Python library, which can be installed using pip: pip install openai You will also need to have an API key for the OpenAI service you want to use. You can get an API key by creating an account on the OpenAI website. Once you have the OpenAI library and an API key, you can use the following code as an example on how to connect the OpenAI API with Python: import openai # Set the API key openai.api_key = "YOUR_API_KEY" # Define the prompt prompt =…

18 Jan

Random Forest Algorithm

Thanmai Chandaka0 CommentsData Science, Decision Tree, Guest Blogs, Machine Learning, Python, Random ForestBagging Technique, Ensemble learning, how to build machine learning models, Machine learning, Machine learning models, Python, Random Forest

Random Forest is a robust machine-learning algorithm that is used for both classification and regression tasks. It is a type of ensemble learning method, which means that it combines multiple decision trees to create a more accurate and stable model. The mathematical intuition behind Random Forest is rooted in the concept of decision trees and bagging. A decision tree is a tree-like structure in which the internal nodes represent the feature(s) of the data, the branches represent the decision based on those features, and the leaves represent the output or class label. Each internal node in a decision tree represents…

09 Jan

Decision Tree

Thanmai Chandaka0 CommentsData Science, Decision Tree, Guest Blogs, Machine LearningDataScience, Decision Tree, Machine learning, Programming, Python

Decision tree algorithms are a type of supervised learning algorithm used to solve both regression and classification problems. The goal is to create a model that predicts the value of a target variable based on several input variables. Decision trees use a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. The model is based on a decision tree that can be used to map out all possible outcomes of a decision. A decision tree algorithm works by breaking down a dataset into smaller and smaller subsets while at the same time, an…

20 Oct

Five Courses that can be finished in one week to advance Pandas skills

geekycodesco0 CommentsBlogMachine learning, Pandas, Programming, Python

𝟏. 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐂𝐨𝐝𝐞 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: This course will build on your knowledge of Python and the panda's library and introduce you to efficient built-in pandas functions to perform tasks faster. Link:- Get the course here 𝟐. 𝐉𝐨𝐢𝐧𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: In this course, you will learn to handle multiple DataFrames by combining, organizing, joining, and reshaping them using pandas. Get this course here 𝟑. 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐩𝐚𝐧𝐝𝐚𝐬: This course teaches you how to build pipelines to import data kept in common storage formats. You’ll use pandas to get data from a variety of sources, from spreadsheets of…

30 Jul

Top Python Libraries You Should Know in 2022

geekycodesco2 CommentsBlog, Python, Real Life Examples

Python libraries are a set of useful functions that eliminate the need to write code from scratch. There are currently more than 137,000 python libraries and they play a vital role in the development of machine learning, data science, data visualization, image and data manipulation applications, and more. Let's start with a brief introduction to the Python programming language and then dive right into the most popular Python libraries. The spirit of Guido Van Rossum - Python, which dates back to the 1980s, has become a passionate game changer. It is one of the most popular coding languages today and…

15 Jul

How to create a Digital Clock in Python With Tkinter

geekycodesco0 CommentsPython, Real Life Examples

How to Make a Digital Clock with Python and Tkinter: We will now make a digital Clock. Here is its Demo. Importing Modules Import the following modules. from tkinter import * from tkinter.ttk import * from time import strftime import platform Here we have imported Tkinter, DateTime, and platform(for determining Operating System) Making a Tkinter Window We will now make a Tkinter window. main=Tk() main.title("Digital Clock in Python") main.geometry('1000x250') We have made a simple Tkinter window here. We have declared the title “Clock”. and set its size to ‘1000X250’ Creating Clock We will now Create a Digital Clock. Making a…

06 Jul

What are Lumira Documents?

geekycodesco0 CommentsSAP Lumira

Lumira documents are files produced with either SAP Lumira Discovery or SAP Lumira Designer that are stored on the BI platform. In both tools, SAP Lumira Designer and SAP Lumira Discovery, it is also possible to store Lumira documents on the user’s local machine in a common folder shared between SAP Lumira Designer and SAP Lumira Discovery, called SAP Lumira Documents. The file extension of locally stored Lumira documents is .lumx. End users access Lumira documents from the BI Launchpad. Differences with regard to the document creation tool Depending on the tool Lumira documents are created with, there are the following differences: Lumira Discovery documents can contain the following:One or more datasetsCharts built from datasetsStories that describe data using charts, text,…

06 Jul

How to open SAP BusinessObjects BI Platform (Legacy) Mode

geekycodesco0 CommentsSAP, SAP Lumira

To launch SAP Lumira Designer, choose Start All Programs SAP Business Intelligence SAP Lumira Lumira Designer. Depending on the mode in which you log on, perform the following steps: This mode lets you create analysis applications in the legacy format of Design Studio 1.6, which are stored on the BI platform. You can also open, edit, and save analysis applications created with Design Studio 1.6 on the BI platform in this mode. When you launch Lumira Designer for the first time, type the host and port of the BI platform in the Web Service URL: http(s)://<host>:<port>/dswsbobje/services/Session For further information, contact your system administrator.NoteOnce you have entered the host and port in…

06 Jul

Start-Up Modes for the Design Tool

geekycodesco0 CommentsSAP, SAP Lumira

SAP Lumira Designer can be used and started in the following modes: SAP Lumira Documents mode: This is the default mode that supports the creation of Lumira documents, which may contain any number of analysis applications, composites, MIME objects and/or offline datasets created with Lumira Discovery. This mode can handle both local documents and documents stored on the BI platform.SAP BusinessObjects BI Platform (Legacy): This mode supports the creation of analysis applications in the legacy format of Design Studio 1.6, which are stored on the BI platform. You can also open, edit and save analysis applications created with Design Studio 1.6 on the BI…