mubashirdataraflow.hashnode.devDataraFlow Week 16: Customer Churn Prediction Using Logistic Regression, Decision Trees, and Random Forest.Decoding Data Science: A Step-by-Step Guide to Churn Prediction In today’s data-driven world, businesses aren't just reacting to what happens—they're predicting it. One of the most critical predictions a company can make is figuring out which custome...Jan 31·5 min read
mubashirdataraflow.hashnode.devDataraFlow Week 14: Regression AnalysisIn data science, moving from raw data to a working machine learning model is rarely a straight line. It’s more like a careful assembly process that requires cleaning, reshaping, and rigorous testing before any real predictions can happen. This guide ...Dec 26, 2025·5 min read
mubashirdataraflow.hashnode.devWeek 13 Of The DataraFlow Program: Analysis Of Canadian Companies On The U.S Stock Exchange By Web ScrapingThis week at the DataraFlow program covered web scraping. This involves using Python to search webpages for tables directly, without needing to download an Excel or CSV file. As part of this week’s assessment, I was tasked with proving my web scrapin...Dec 14, 2025·3 min read
mubashirdataraflow.hashnode.devDataraFlow Week 9: Grouping Data To Draw Out Specific InsightsLast week, we learnt how to combine two datasets containing a common column to create a single bigger dataset which is is easier to analyze. This week, we go even deeper by learning how to separate a large dataset into distinct groups or subsets of d...Nov 30, 2025·2 min read
mubashirdataraflow.hashnode.devDataraFlow Week 8: Advanced Data Analysis On World Bank IndicatorsLast week already focused on how to clean data, so this week took a deeper dive to explore how to transform and combine datasets and dataframes to suit the needs of a data scientist. \ JOINING DATAFRAMES TOGETHER To kick things off, we learnt about t...Nov 12, 2025·3 min read