When starting a new data science project, there are a few things to consider and keep in mind. So I’m going to use this blog to sort of map out the process and the steps I plan to take in order to get through this project.

Objective/Purpose:

The first thing you…


Purpose

Video games are being developed and released all the time. Whether they are made by big or small companies, there are video games out there for all kinds of people.

However, when developing a video game or when it is about to be released, it would be helpful to know…


Task: Create a model that can predict the tags or categories that a restaurant should have using user reviews.

Purpose: The purpose of this project is to attempt to build a model to predict the tags(or labels/categories) of a restaurant based on the user reviews for the restaurant. If successful…


If you have not heard of linters, don’t worry you are not alone. I took a data science course and did not know about them until after, when a friend mentioned it was a possible interview question. …


Objective:

Our project is an anime recommendation system. Recently everyone has been at home due to the corona virus but if you’re like me and really enjoy anime, finding a new one to watch is a job on its own. Finding a new anime in and of itself is not hard…


Overview

Consider the following: You have an idea and want to start a Kickstarter campaign to raise money in order to make your idea a reality. You’re a bit hesitant though because you don’t want it to end in failure.

So I did a project where I aim to see if…


Prompt: A company wants to break into the movie market with original content. Come up with recommendations on how to do so and what the best approach would be with research and EDA(Exploratory Data Analysis).

Our Approach:

Nowadays a lot of people do not just watch American or English movies. …


If you’re learning about data science, you’ve definitely heard of neural networks, but may not know much more than the name. …


Once you start learning about modeling and predicting in data science, you will definitely be introduced to the idea of bias and variance and loss functions. If you’re familiar with it you know that the general idea is that high variance is a sign of overfitting and high bias is…


Recently, I learned about making linear regression models and there were a large variety of models that one could use. When looking at a subset of these, regularization embedded methods, we had the LASSO, Elastic Net and Ridge Regression. …

Zawar Ahmed

Data Science student at Flatiron School

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