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Solve ValueError: Found Input Variables with Inconsistent Numbers of Sample

While learning machine learning I have faced “ValueError: Found Input Variables with Inconsistent Numbers of Samples error many times” majorly while using scikit-learn library. It is a frustrating error but don’t worry follow the below step to solve the error The error majorly comes in the training, preprocessing or evaluation phase. The simple reason for […]

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Get attributes of object Python

While working with objects in Python, we will often need to inspect, list or access attributes dynamically. Whether we are debugging, building frameworks, or designing dynamic systems, understanding how to get attributes of objects in Python is a must have skill. In this tutorial we will explore multiple ways to get all attributes of object

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QQ Plots in Python

Hi people, before we jump to implement QQ plots in Python. Let’s quickly understand what a QQ plot is and what QQ plot assumptions are. What is a QQ plot? A QQ plot is a graphical method to compare two probability distributions by plotting their quantiles against each other. How does the QQ plot work?

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XGB feature importance

XGBoost or XGB stands for extreme gradient boosting. In XGB, feature importance points to how much a particular feature contributes to the model’s predictions. It is very important to know which features contribute most to the models’s prediction when we have a large number of columns in the dataset. XGBoost provides several ways to compute

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Jaccard similarity in Python.

When we want to measure the similarity between two sets, we tend to use cosine similarity or Jaccard similarity in general. In this blog, we will discuss Jaccard similarity and implement it using various libraries in Python. What is Jaccard Similarity? Jaccard similarity is also known by names like Jaccard index or interaction over union.

Why is the central limit theorem important?

Central limit theorem plays a very important role when it comes to getting information on the sample mean. In simple words, it tells us that when we take a large number of samples from a population that is significantly large enough in terms of sample size (>30) and try to get the sample mean then

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Building dashboards in Python

For creating a dashboard in Python in 2025 we have multiple options in terms of libraries. Dashboards are commonly used for displaying key metrics and insights. In this blog, we will discuss various libraries and frameworks for building a dashboard in Python. Dash by Plotly Dash is considered one of the most popular Python frameworks

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Pandas Interview Questions for 2025

Pandas is an important library in data manipulation in Python. Data loading, data cleaning, and data transformation can be done using Python. In this blog we will go through 55 pandas interview questions. Pandas interview question on DataFrame Creation and Manipulation How can you create a pandas DataFrame from a dictionary? import pandas as pd

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Detect QR code in image Python and OpenCV (cv2)

QR codes have become a go-to tool for embedding information like URLs, texts, or even payment details and providing it to consumers. The main reason why QR codes have become famous is because they can be scanned with a camera and decoded instantly making them highly effective for quick access to data. In this blog,

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