Central Tendency vs Dispersion

Hello everyone, welcome back! In this blog we will again focus into the some of widely used central tendency techniques and then measure of spread in the Statistical Analysis of the EDA part. If you are looking for a brief walk-through of a Statistical Data Analysis in Data Science please refer to this blog of […]

R Exercise: Association Rule Mining in R

Association Rule Mining Association rule mining (also known as Association Rule Learning) is a typical technique for determining relationships (co-occurrence) between many variables. It is mostly used in grocery stores, e-commerce websites, and other similar establishments, in addition to massive transactional databases. Amazon knows what else you want to buy when you order something on […]

Python for Stock Market Analysis: Exploring Technical Trend Indicators

Introduction Hello and welcome back everyone to our second part of the new blog series [Python for Stock Market Analysis](). In the last part, we explored different [types of moving averages]() like Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA) and explored other moving metrics like Moving Median and Moving Variance. […]

R Exercise: Getting Started With ggplot2 in R

Getting Started with ggplot2 in R Grammar A grammar provides a foundation for understanding different types of graphics. A grammar may also help us on what a well-formed or correct graphic looks like, but there will still be many grammatically correct but nonsensical graphics. This is easy to see by analogy to the English language: […]

Running Airflow in WSL but Using MySQL Server from Windows as Default

Introduction There are lots of benefit of using MySQL as a backend database in Airflow. Main reason is that MySQL is widely used in production instead of SQlite. Also, we can have scalable database system where we can have concurrent requests, high security and well defined permission and roles. From the last few blogs, I’ve […]

Social Network Analysis in R

Social Network Analysis Definition Social networks are simply networks of social interactions and personal relationships. Think about our group of friends and how we got to know them. Maybe we met them while ago from our schooling, or maybe we met them through a hobby or through our community. In fact, 72% of all Internet […]

Python for Stock Market Analysis: Working with Moving Averages

Introduction This blog is a part of our series Python for Stock Market Analysis. Disclaimer: This blog is for educational purpose only and we do not recommend taking the knowledge gained from this blog to implement in real financial exercises. This blog tries to implement preliminary metrics that are used in the stock market analysis. […]

R Exercise: Training Different ML Models in R

Load Data Dataset is available here. # Loading the data here library(haven) bank_loan_df <- read_sav("P4_bankloan_5000_clients.sav") bank_loan_df$defaulted_loan<-as.factor(bank_loan_df$defaulted_loan) bank_loan_df$education_level<-as.factor(bank_loan_df$education_level) str(bank_loan_df) ## tibble [5,000 x 9] (S3: tbl_df/tbl/data.frame) ## $ age : num [1:5000] 41 30 40 41 57 45 36 39 43 34 … ## ..- attr(*, “label”)= chr “Age in years” ## ..- attr(*, “format.spss”)= chr […]

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