In Pandas, a dataframe is a data structure used to store and manipulate tabular data. The tabular data has it’s columns, column names and rows - we can easily perform operations on large dataframes using Pandas functions. A Pandas dataframe is also the standard structure used to store the...
This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. Data Visualization with Python IBM via Coursera “A picture is worth a thousand words”. We are all familiar with this expression...
Biodiversity (@mikkohei13) Provides a simple interface for adding numbers and generating personalized greetings using FastMCP framework and custom helper functions. ⭐ 0 2025-03-05T14:21:47Z Biomart Mcp (@jzinno) Integrates with Biomart to enable advanced biological data queries, including gene ...
ofNumerical Python. It is used for different types of scientific operations in Python.Numpyis a vast library in python which is used for almost every kind of scientific or mathematical operation. It is itself an array that is a collection of various methods and functions for pro...
Customer Lifetime Value (CLTV): CLTV calculates the total revenue a customer is expected to generate over their lifetime as a customer. It helps you assess the long-term value of acquiring and retaining customers. Customer Acquisition Cost (CAC): ...
Generators in Python are functions used to return an iterable set of user-defined data types. Q7. How do you remove value elements in an array in Python? Values or elements in an array can be removed using the pop() or remove() functions. The pop() function returns the values or eleme...
The nlu.load(<Model>).predict(data) function Predict on Strings, List of Strings, Numpy Arrays, Pandas, Modin and Spark Dataframes The nlu.load(<train.Model>).fit(data) function Train a text classifier for 2-Class, N-Classes Multi-N-Classes, Named-Entitiy-Recognition or Parts of Speech...
This is one of my functions which I use to get the best threshold for maximizing F1 score for binary predictions. The below function iterates through possible threshold values to find the one that gives the best F1 score. # y_pred is an array of predictions ...
feature Enter the parallel universe of Java’s Vector API By Simon Ritter Apr 17, 20256 mins JavaProgramming LanguagesSoftware Development video How to create a simple WebAssembly module with Go Apr 4, 20254 mins Python video The power of Python's editable package installations ...
Understanding how to prepare data for machine learning and how to leverage tools like pandas, NumPy and scikit-learn will be a valuable skill in 2023.5. Strong Coding SkillsBuilding, testing and deploying machine learning models is a complex process that requires a strong set of coding chops. ...