Learning Material for the Computer Language Workshop, Fall 2018, Economics Department, The New School for Social Research. This only covers the first half of the class, which I taught.
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Updated
Oct 12, 2018 - HTML
Learning Material for the Computer Language Workshop, Fall 2018, Economics Department, The New School for Social Research. This only covers the first half of the class, which I taught.
Dream Housing Finance company offers home loans to customers. The company takes into account personal information(demographic variables, historical loan status or economic variables) to either approve or deny the loan request for a particular amount and term.
Understanding of Applied Data Science with Python
Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solution
Determines the price of the launch. Also, determines if SpaceX will reuse the first stage.
This repository contains steps taken to predict the marketing strategy for a smart device manufacturing company.
Automate the process of EDA and Data Cleaning
Data cleaning and visualisation functions in R
Data Analysis / Data Science mini-project. The project includes exploring the three datasets, data cleaning, making data uniform, changing headers, changing index, merging data, and manipulation using Numpy and Pandas. More information in project_description.txt
In this repo I have discussed about the various feature engineering techniques
Nashville Housing Data Cleaning Using SQL Server Management Studio
Some primary level data analysis case studies
Information retrieval assignment 1
Nashville Housing: SQL Data Cleaning, using Microsoft SQL Server.
Using Python libraries Pandas, Seaborn, Matplotlib, I analyzed various factors like high budget means high popularity, runtime affects popularity, features associated with top 10 revenue movies, popular genre yearly, etc.
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
The King County House Sales dataset provides information on house sales in King County, which encompasses the city of Seattle. This dataset covers the period between May 2014 and May 2015 and includes details on the homes that were sold during this time.
Add a description, image, and links to the datacleaning topic page so that developers can more easily learn about it.
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