Indian Laptop Purchase Dataset (Online & Offline) Report Dashboard Ideas
Here are some Power BI dashboard ideas based on Indian Laptop Purchases dataset: 1. Consumer Demographics Dashboard 2. Brand Preference […]
Data Analytics, Practice Datasets
Data Analytics, Practice Datasets
EDA on NYC Taxi Dataset – Taxi Trip Records Data
The NYC Taxi Trip Dataset is a public dataset that contains detailed records of taxi rides in New York City.
Data Analytics, Practice Datasets
Online Shoppers Purchasing Intention Dataset Overview
The Online Shoppers Purchasing Intention Dataset from the UCI Repository is a dataset designed to understand the factors influencing online
Data Analytics, Practice Datasets
Sachin Tendulkar Test Matches Data
Sachin Tendulkar, known as the “God of Cricket,” played 200 Test matches for India from 1989 to 2013. He scored
Power BI
Power BI Dashboard Ideas for Air Quality Dataset from Uci.edu
Recently we explained the dataset : Air Quality Measurements Dataset in one of our blog. Here are some Power BI
Data Analytics, Practice Datasets
Air Quality Measurements Dataset
DescriptionThis dataset contains detailed air quality measurements collected over several months, focusing on key air pollutants. It is designed for
Practice Datasets
Online Retail Dataset and Dashboard Ideas for practice
The dataset contains one sheet named “Sheet1.” The dataset includes the following columns: Get the dataset here : https://www.kaggle.com/datasets/ishanshrivastava28/tata-online-retail-dataset Power
Deep Learning
How to Stack Layers in a CNN
A Convolutional Neural Network (CNN) is composed of three main types of layers: convolutional layers, pooling layers, and fully connected
Deep Learning, Machine Learning
Car Images classification using Convolutional Neural Network (CNN)
Here, we will create a Convolutional Neural Network (CNN) model to classify car images into seven categories: Audi, Hyundai Creta,
Machine Learning
Steps to Perform EDA and ML on Spambase dataset
Step 7: Deployment and Further Analysis1. Save the model using `joblib` or `pickle` for deployment. import joblib joblib.dump(model, ‘spam_classifier.pkl’) 2.