Creating Awesome Data Dashboard with Plotly in Streamlit: Clustering

This is a continuation of our previous blog entitled as Creating Data Dashboards With Streamlit and Python. Adding A Clustering Functionality Before diving into the clustering functionality in our existing app, please make sure you are following previous part. Or you can grab all the codes from below: import streamlit as st import numpy as […]

R Exercise: Working with PCA and Dimensionality Reduction

Check the data mtcars with head and save a new data as mtcars.subset after dropping two non-numeric (binary) variables for PCA analysis data <- mtcars head(data) ## mpg cyl disp hp drat wt qsec vs am gear carb ## Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 ## Mazda RX4 […]

Creating Data Dashboard with Plotly in Streamlit

Data Dashboard are getting highly popular because the need to get insights from data is getting increased. One of the few ways we find the insights from the data is via dashboards. And for Data Analysts, there are options like tableau. But not all of them are for free. However, we can make some cool […]

R Exercise: Working with Outliers and Fitting Different Machine Learning Models

Extract the Nepal COVID-19 data from Wikipedia to fit the following models with daily deaths as dependent variable and time as independent variable First plot the daily deaths by time and distribute the three outliers (added deaths around timeline of 400) before fitting the following models in the outlier adjusted data on training and testing […]

Installing Julia in Windows and Running in Jupyter Notebook

Installation of Julia First download the installer from official site then run the installer. Set the environvent path variable. Test it by opening the Julia Command Line or REPL (Read Eval Print Loop). println("hello world") Adding Julia into Jupyter First add package IJulia by typing use Pkg and then enter. Then Pkg.add("IJulia"). Wait for the […]

R Exercise: Working with Data from JSON API and Performing EDA

Import any data from JSON API Welcome to our data exploration journey! 🚀 In this exciting venture, we’re harnessing the power of data from the renowned source Our toolkit is all set, and we’re armed with two remarkable packages: jsonlite: This versatile gem brings JSON data and R data types together in a harmonious […]

Walkthrough of Statistical Analysis in Data Science

What is Statistical Analysis in Data Science? This blog starts from definition to explaining and experimenting with different part of statistics. Introduction Statistics is very important field and there are lots of definitions and use cases available and noting few. Statistics is a systematic collection of data on measurements or observations, often related to demographic […]

K Medoids Clustering from Scratch in Python

K Medoids Clustering is a clustering algorithm, have you tried to write it from scratch in Python? But before that, if you are also looking for other algorithms from scratch then please follow along: Linear Regression from Scratch Logistic Regression from Scratch Logistic Regression with Different Loss Functions PCA from Scratch K-Means Clustering from Scratch […]

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