Tag: Data Science Projects

Building a Recommender System with Netflix Data in R

Ok, so I finally got a chance to finish this three-part series. It’s been a long one, but better late than never. Since it’s been a while, I figured a quick recap is in order. To show how to approach an unguided data project, I decided to use some Netflix data to demonstrate the process […]

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NLP Project Part 1: Scraping the Web to Gather Data

This is the first in a series of posts describing my natural language processing (NLP) project. To really benefit from this NLP article, you should understand the pandas library and know regex for cleaning data. We’ll also focus on web scraping, so elementary knowledge of HTML (the language used for creating websites) is very helpful, […]

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8 Rarely Used Python Libraries & How to Use Them

The most popular Python libraries out there are usually TensorFlow, Numpy, PyTorch, Pandas, Scikit-Learn, Keras and a few others. Although you may come across these names pretty frequently there are thousands of Python libraries out there that you can work with. In this article we are going to focus on how to use Python libraries […]

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45 Fun (and Unique) Python Project Ideas for Easy Learning

Building projects is an extremely succesful way to learn, but building Python projects for beginners can be difficult. Learn how to build with success!

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21 Places to Find Free Datasets for Data Science Projects

A collection of the best places to find free data sets for data visualization, data cleaning, machine learning, and data processing projects.

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An Intro to Deep Learning in Python

Deep learning is a type of machine learning that’s growing at an almost frightening pace. Nearly every projection has the deep learning industry expanding massively over the next decade. This market research report, for example, expects deep learning to grow 71x in the US and more than that globally over the next ten years. There’s […]

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11 Design Tips for Data Visualization

Here’s an important fact that’s easy to forget: our data is only as helpful as it is understandable. Most of the time, making data understandable means creating some kind of data visualization. And while a simple bar graph might cut it for internal work, making your data both visually understandable and visually attractive can help […]

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Data Science Portfolio Project: Where to Advertise an E-learning Product

At Dataquest, we strongly advocate portfolio projects as a means of getting a first data science job. In this blog post, we’ll walk you through an example portfolio project. The project is part of our Statistics Intermediate: Averages and Variability course, and it assumes familiarity with: Sampling (populations, samples, sample representativity) Frequency distributions Box plots […]

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Data Science Portfolio Project: Is Fandango Still Inflating Ratings?

At Dataquest, we strongly advocate portfolio projects as a means of getting your first data science job. In this blog post, we’ll walk you through an example portfolio project. The project is part of our Statistics Fundamentals course, and it assumes some familiarity with: Sampling (simple random sampling, populations, samples, parameters, statistics) Variables Frequency distributions […]

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An In-Depth Style Guide for Data Science Projects

Data science projects are becoming more important in the world of data analysis, so it’s important to understand best practices and styles for data science projects.

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5 Ways to Find Interesting Data Sets

Tips for finding unique, interesting data sets that haven’t already been analyzed by tons of other data scientists.

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10 Data Science Projects You Can Join Today

Editor’s note: This post was written as part of a collaboration with data.world, a site for sharing and hosting data. Authors Shannon Peifer and Gabriela Swider are on the data.world team. Finding the right data can be difficult. And even once you have it, how do you collaborate with others to make sense of it? […]

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Turbocharge Your Data Acquisition using the data.world Python Library

When working with data, a key part of your workflow is finding and importing data sets. Being able to quickly locate data, understand it and combine it with other sources can be difficult. One tool to help with this is data.world, where you can search for, copy, analyze, and download data sets. In addition, you […]

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How to present your data science portfolio on GitHub

This is the fifth and final post in a series of posts on how to build a Data Science Portfolio. In the previous posts in our portfolio series, we talked about how to build a storytelling project, how to create a data science blog, how to create a machine learning project, and how to construct […]

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How to get a data science job

You’ve done it. You just spent months learning how to analyze data and make predictions. You’re now able to go from raw data to well structured insights in a matter of hours. After all that effort, you feel like it’s time to take the next step, and get your first data science job. Unfortunately for […]

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