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Tag: Python

Knowledge Graph — A Powerful Data Science Technique to Mine Information from Text (with Python code)
Learn to extract valuable information from unstructured text data using Knowledge Graphs.
Predicting House Prices with XGBoost
LinkedIn | GitHub | Email | Data | Web App | Notebook Introduction “Location, location, location.” The likelihood that you will hear that phrase if you are looking into purchasing a house, apartment, condo, or timeshare, is .9999999999. (Yes, I performed that study myself.) However, there are many other factors …
House Price Predictions in Ames, Iowa
Github Repo | LinkedIn Introduction and Objective Statement In this project I will be analyzing house prices for the town of Ames, Iowa, using a dataset provided for a Kaggle competition. This dataset contains 1,460 observations and 80 features that capture many aspects involved in predicting the market value of …
Yunnan Sourcing Tea Storefront and Analysis of the High End Tea Market
Github | LinkedIn | Yunnan Sourcing Introduction Where many online tea wholesalers curate particular, international selections of teas, Yunnan Sourcing distinguishes itself by highlighting local sources. Furthermore what makes it a compelling target for analysis is its focus on "verified purchase reviews." We will begin our analysis by laying the …
Automate your Cover Letters with Python and mailmerge
When you look for a new position, attaching a Cover Letter to your application is very important: you want to stand out and showcase your personality and enthusiasm about the role and the company you’re applying to. However, having to apply for dozens of positions every day turns writing cover …
Beautiful Soup Tutorial 2. – How to Scrape Multiple Web Pages
Scraping one web page is fun, but scraping more web pages is more fun. In this tutorial you’ll learn how to do just that; along the way you’ll... The post Beautiful Soup Tutorial 2. – How to Scrape Multiple Web Pages appeared first on Data36.
How Dataquest Helped an SEO Expert Save Tons of Time
Antoine Eripret, the SEO Lead at Liligo.com, decided to learn Python for SEO because he realized he was wasting time.He got interested in search engine optimization as a student, and entered the industry full-time after getting his Masters in 2016.As he built experience in the field, he says, “I realized …
Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving
In this article, we’ll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye might not catch. We’ll use a gradient boosting technique via XGBoost to create a model and I’ll walk you through steps you can …
Generate a color analysis by uploading an image
Mel Dollison and Liza Daly made a fun interactive that lets you upload…Tags: color, Emily Noyes Vanderpoel, Python, vintage
7 Reasons to Learn PyTorch on Databricks
What expedites the process of learning new concepts, languages or systems? When learning a new task, do you look for analogs from skills you already possess? Across all learning endeavors, three favorable characteristics stand out: familiarity, clarity and simplicity. Familiarity eases the transition because of a recognizable link between the …
11 Real World Applications for Python Skills
Python is one of the most frequently-recommended programming languages. You’ve probably heard people say that’s because it’s relatively easy to learn — and that’s true! But is Python actually useful? What are some of the real-world applications for Python skills once you’ve got them?In this post, we’ll look at some …
Spaceship operator in Python
Some programming languages, such as Perl, have an infix operator <=> that returns a three-state comparison. The expression a <=> b evaluates to -1, 0, or 1 depending on whether a < b, a = b, or a > b. You could think of <=> as a concatenation of <, …
USING MACHINE LEARNING TO PREDICT HOUSING PRICES IN IOWA
1. Introduction The aim of the project is to find the algorithm that can best predict housing prices in Ames, a city in the State of Iowa. Ames is a growing city in Iowa that has experienced some recent real estate developments. This project intends to provide insight that can …
NAVIGATING THE LABOR MARKET DURING A PANDEMIC: FINDING HIDDEN OPPORTUNITIES
Introduction During the Covid´s pandemic the world´s economy has suffered from a radical slowdown. This has been harshly felt in the labor market, affecting the opportunities of citizens to earn an income. This project aims not at providing an explanation of the general impact of the pandemic in the labor …
Are Lending Club Notes A Good Investment?
Introduction Lending Club is an American peer-to-peer lending company, i.e., borrowers can set up a profile and request a loan from investors who are willing to invest. The loan amount ranges from $1,000 to $40,000 and the loan can be repaid in either 36 months or 60 months. In this …
Python Practice: Free Ways To Improve Your Python Skills
Getting good Python practice can help solidify your coding skills. Here are some of the best resources for practicing Python: The post Python Practice: Free Ways To Improve Your Python Skills appeared first on Dataquest.
Ray for Data Science: Distributed Python tasks at scale
In this article, Dr Dean Wampler provides an overview of Ray including raising the question of why we need it. The article covers practical techniques and some walk through code to help users get started. The post Ray for Data Science: Distributed Python tasks at scale appeared first on Data …
Protected: Predicting House Prices by the Application of Machine Learning Models
There is no excerpt because this is a protected post. The post Protected: Predicting House Prices by the Application of Machine Learning Models first appeared on Data Science Blog.