PinnedEDA : A Dive into Car Price Prediction“Welcome to a data-driven journey through the world of used car prices! In this exploration, we’re delving into a fascinating dataset from 1985. While the cars themselves may seem like relics from the past, the insights we’ll uncover are timeless. Whether you’re a data enthusiast, a car aficionado, or simply…Car Price Predictions13 min readCar Price Predictions13 min read
Nov 1“Analyzing Film Data to Guide RSVP Movies’ Global Expansion”Introduction: RSVP Movies, a prominent Indian film production company renowned for its super-hit movies, is embarking on a new venture in 2022 by creating a film tailored for a global audience. To ensure the success of this project, they have turned to data analytics. …Rsvp Movie Assignment15 min readRsvp Movie Assignment15 min read
Oct 27“Mastering Regression Analysis: P-Values, Scaling, Multi-Regression, and R-Squared”Elimination based on p-values In multiple linear regression is a variable selection technique that helps you decide which independent variables (predictors) to include or exclude from a multiple linear regression model. It involves examining the p-values associated with each variable in the model and eliminating variables with p-values above a certain significance level (e.g…Multiple Linearregression9 min readMultiple Linearregression9 min read
Oct 24Multiple Linear Regression: Beyond Simple Linear RegressionIn the world of data analysis and predictive modeling, we often start our journey with Simple Linear Regression (SLR). SLR is an effective technique for understanding relationships between two variables, but there are situations where a single variable is not enough to capture the complexity of the real world. …Multiple Linearregression9 min readMultiple Linearregression9 min read
Oct 23Simple Linear Regression Roadmap: From Data to Best-Fit LineCertainly! I’ll explain simple linear regression in a way that a 15-year-old can understand, covering the topics of the regression line, best fit line, and how to do linear regression using both statsmodels and scikit-learn. Most important go through the simple example given below: **Simple Linear Regression: Finding the Best-Fit…Simple Linear Regression7 min readSimple Linear Regression7 min read
Oct 22The Power of R-squared: Assessing Regression Model StrengthR Squared/ RSS/ TSS Today, we’re going on a journey to learn about something called “Linear Regression.” Don’t worry; it’s not as complicated as it sounds. We’ll also chat about supervised and unsupervised learning, and three special friends named RSS, TSS, and R-squared. What is Linear Regression? Imagine you’re collecting toy cars and want…R Squared6 min readR Squared6 min read
Oct 14“The Sakila Show: A Database Tale of Drama, Comedy, and Lucky Customers”Description: Welcome to the fascinating world of the Sakila database, where data takes center stage and tells a story that’s part drama, part comedy, and a little touch of luck. Sakila, our star database, hosts a collection of tables that capture the life and times of fictional characters and their…Sakila Database6 min readSakila Database6 min read
Oct 12Mastering SQL: Sakila DatabaseIntroduction: SQL is a powerful language used for managing, querying, and analyzing databases. It plays a crucial role in various industries, such as data science, web development, and business intelligence. …Sql7 min readSql7 min read
Oct 5Exploring International Migration Patterns: A Focus on Canadian ImmigrationIntroduction In today’s interconnected world, the movement of people across borders plays a significant role in shaping societies and economies. To gain insights into these migration patterns, we turn our attention to the “International migration flows to and from selected countries — The 2015 revision” dataset, a valuable resource provided…Canada Migration9 min readCanada Migration9 min read
Oct 4EDA: CREDIT: Loan Risk AnalysisObjective This blog focuses on applying Exploratory Data Analysis (EDA) in a real business context, specifically in risk analytics within the banking and financial services sector. The goal is to understand how data can be leveraged to minimize the risk of financial loss when lending to customers. Business Understanding Loan providers often…Data Analysis23 min readData Analysis23 min read
