Welcome to our YouTube channel! In today’s tutorial, we’re delving into the world of Python programming with a focus on the indispensable NumPy library. NumPy stands out as one of the most widely used Python libraries, serving as a fundamental package for scientific computing. With its support for large multi-dimensional arrays, matrices, and an array…
In this tutorial, we will guide you through the process of uploading files directly from your computer to your Google Colab notebook and then creating charts using the data with PyPlot. We begin with a CSV file containing salary data categorized by employees, gender, and department. Our first step is to upload this dataset to…
Welcome to another Python tutorial where we will learn how to create a polynomial regression line using the scikit-learn library. Polynomial regression is a type of linear regression that enables us to model non-linear relationships between variables. In this tutorial, we will cover the following steps: Colab Notebook: https://colab.research.google.com/drive/178bLanYnwxGRqCwLf0YHONBiGtGBJ1Vr?usp=sharing #PythonTutorial #PolynomialRegression #scikitLearn #DataScience #MachineLearning #PythonProgramming…
In this tutorial, we will learn how to create charts in Python using the PyPlot library. We will be using Google Colab for Python programming. To begin, open Google Drive and create a new notebook by clicking on the “New” button. From the options, select Google Colaboratory. Rename and save the notebook in your Google…
In this Python tutorial, we will explore how to access an Excel file stored in Google Drive using Google Colab and perform basic statistical analysis on the data. To begin, we will open the Excel file in Google Sheets and then import it into Python for analysis. First, navigate to “My Drive” and locate the…
In this video, the presenter demonstrates how to calculate basic statistics using Python script in Power BI and create a dashboard from those statistics using Power BI visuals. The video starts with importing the Pandas library and reading data from an Excel file into a data frame. The presenter then calculates mean, mode, median, standard…
This video tutorial explains how to install Python and connect it to Power BI Desktop to create Python visuals. It starts by demonstrating how to download and install Python using a customized installation method in the C drive. After installation, you may need to install libraries, and for demonstration purposes, it uses the Matplotlib library….
The video explains how to calculate basic statistics in Python. It covers the steps involved in importing libraries for statistical calculations, generating a list of random numbers, plotting the data on charts, calculating mean, median, mode, standard deviation, variance, covariance, correlation and linear regression. The results are displayed on the console window and bar chart….
In this video we will show you how to add automatic, responsive and dynamic descriptions to your Power BI visualizations using Smart Narratives. We will use Electric Vehicles Registered with Washington Department of Licensing (https://catalog.data.gov/dataset/electric-vehicle-population-data) #powerbi #smartnarrative #dashboard
Today we will create a dashboard from data collected from FDIC Bank Failure dataset: https://catalog.data.gov/dataset/fdic-failed-bank-list. We will show you how to use various charts including map charts and multi row cards. #bankruptcy #financialcrisis #dashboard