April 9, 2022

Disney Movie View Analysis

Read More on GitHub… Disney Movie View Analysis This repo goes along with my video “Solving real world data science tasks with Python BeautifulSoup! In this video we scrape Wikipedia pages to create a dataset on Disney movies. The video is formatted with tasks for you to try to solve on your own throughout. For the best learning experience, at each task you should pause the video, try the task on your own, and then resume when you want to see how I would solve it.

April 9, 2022

Machine Learning: Diamond Price Prediction in Forex

Read More on GitHub… Data Set Information: A dataset containing the prices and other features of almost 54,000 diamonds. Features description Number of Attributes: 10 (9 predictive features, 1 target) Feature Information: A data frame with 53,940 rows and 10 variables: price: price in US dollars ($326–$18,823) (target) carat: weight of the diamond (0.2–5.01) cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal) color: diamond colour, from J (worst) to D (best)

March 9, 2022

Super Store Sales Analysis

Read More on GitHub… Exploratory Data Analysis is a technique used to understand the different aspects of a dataset. Its main objective is to give a through understand of the data. It is used to summarize the main characteristics of a dataset, to examine data before building model, find patterns, relations and anomalies in data using statistical graphs and other visualization, identify faulty points in data, understand relationship between variables while it’s goal is to help businesses understand their customer behaviour/characteristics, business growth, and help make better decisions.

March 9, 2022

Tableau Viz: Germany Credit Card Analysis

Read More on Tableau… Objective The goal of this notebook is to understand and predict customer churn for a bank. Specifically, we will initially perform Exploratory Data Analysis (EDA) to identify and visualise the factors contributing to customer churn. This analysis will later help us build Machine Learning models to predict whether a customer will churn or not. This problem is a typical classification task. The task does not specify which performance metric to use for optimising our machine learning models.

February 9, 2022

Machine Learning: Predicting Credit Defaulters

Read More on GitHub… Data Set Information: This research aimed at the case of customers default payments in Taiwan Features description: LIMIT_BAL: Amount of the given credit (NT dollar): it includes both the individual consumer credit and his/her family (supplementary) credit. SEX: Gender (1 = male; 2 = female). EDUCATION: Education (1 = graduate school; 2 = university; 3 = high school; 4 = others). MARRIAGE: Marital status (1 = married; 2 = single; 3 = others).

January 14, 2022

KPI Viz on Call Center

Read More on GitHub… KPI-Visualization on Call-Centre KPIs (Key Performance Indicators) are quantifiable measurements used to gauge a company’s overall long-term performance. This helps to weigh and determine a company’s strategic, financial, and operational achievements. They are used to measure a company’s success in relations to its set goals and targets. High-level KPIs may focus on the general overview of the performance of the business, while low-level KPIs may focus on processes in departments such as tech, sales, marketing, HR, support and others.