5 Data Science Project Ideas for Resume (2024) - Beginner to Medium Level

guys to be good at what you do and I mean anything at all you need practical skills in data science to get those skills you build projects these projects use real world data sets to solve complex problems not sure which projects to work on no worries I have got some ideas for you hey folks my name is Daniel and today I'm going to talk about five great data science projects and I think they can give your portfolio a serious boost also guys don't forget to check out all the useful links I dropped in the description down below you may find something interesting there all right let's get into it YouTube comments you know guys one of the great things about these data science projects is that you don't have to go far for your data sets more often than not they are right under your fingertips for example let's take YouTube it's the second most visited website in the world and the comment sections are a gold mine of data on on all kinds of topics and there are tons of ways you can tackle this project to gain insights from all that user feedback it's like picking into what people are thinking and feeling about different things on the platform when it comes to data science projects analyzing YouTube comments is a fantastic idea so if you're ready to explore the world of data science projects diving into YouTube comments is a great place to start you can start by using a web scraping tool to collect your data and once you have your hands on that data use NLP and text processing software this will help you extract key features from the comments analyze them and uncover answers to your burning questions after that you can create a dashboard to organize and showcase all these insights it's like turning row data into actionable information that's easy to understand all right let's move on to the data science project idea number two the de credit card fraud by the way guys when it comes to the best data science project ideas I have got something exciting to share project pro project Pro iio is your goto learning platform for readymade project solutions to Common data science and Big Data challenges in business these Solutions are crafted by industry experts so you can be sure they meet the highest industry standards and what's great about it is that project Pro makes it super easy to use these projects in your work or add them to your portfolio project Pro offers a wide range of projects templates in data science machine learning NLP and much more here you will get practical experience in tackling tough data challenges with detailed guides helpful videos and real world data sets when it comes to the range of projects I haven't seen anything quite like what project Pro iio offers and what's more each project is accompanied by video lectures they dive into the basics and explain the choosing solution in detail it's a great way to learn and apply your knowledge in real wor scenarios besides there are also hone labs and learning path so you can test your coding skills or focus on a specific technology highlight your skills with project PR expert help create a portfolio that not only lets you show off your technical skills but also your ability to solve real word problems so if you're ready to bring them to life check out project Pro in the link below start mastering data science projects with project for today all right guys let's go back to our second project unfortunately this is the subject familiar to most of us the number of credit card prods has been on the rise but the good news is that thanks to AI machine learning and data science professionals like you can help fight back because thanks to the tools that modern data science offers we can identify and stop fragant activities with pretty impressive accuracy so here is the deal we want to understand how a customer usually spends their money this means looking at where they make their purchases and what they buy by doing this you can create a map of their normal spending Behavior now let's say something fishy happens like a purchase that doesn't Feit their usual pattern or happens in an unexpected location in that case you can flag it as a potentially fraudulent to make this happen you can use either r or Python and the customer's transaction history as your data set you will then feed this data into decision threes artificial neural networks and logistic regression the algorithms that help us Mak sense of the data and of course the more data you feed to your system the better it gets at spotting the BET transactions as many data scientists do you can look for your data sets on kle okay moving on to the next project consumer Behavior Analysis and now let's talk about analyzing grocery store transactions this will help you uncover some awesome Trends in consumer Behavior this kind of analysis is like pecking into the shopping habits of customers to learn what they love to buy together imagine this you have got a data set from a grocery store and you want to find out which products are often bought at the same time this kind of data is good for businesses it can help them suggest products to customers design better store layouts and even launch cool marketing campaigns so by diving into this data set you can uncover patterns like people who buy apples also tend to buy peanut butter and this kind of insight can lead to things like putting peanut butter next to the apples in the store making it super convenient for Shoppers to do this you will use some cool data analysis tools like python or R you will dig into the data set crunch the numbers and reveal the hidden Trends and again you can find your grocery data sets on kle housing price prediction guys before we move on I try to make educational content in an entertaining way make it fun instead of boring and in return I just asked to like this this video And subscribe to my channel if you enjoy the content I make that's all you will have to dig into the data to understand all the cool features available and I mean stuff like the number of bedrooms location square footage and more they are the clues that will help you predict this house price next up you will split the data into two groups training and testing this is like setting aside some data to train your machine learning model and some to test how well it predicts then it time to find out which features like number of bedrooms or location are most important for predicting the house price now where do you get this magical data well there are tons of resources with sample data sets on house prices and I would recommend looking on kaggle again there are tons of projects and data sets that will offer just the data you need and once you have your data you guys can build your machine learning model all right and now let's talk about the last project idea on this list forest fire prediction finally let's talk about something really important predicting forest fires and wild fires using data science forest fires often get uncontrollable causing massive damage to nature animal homes and human property and it's a serious issue that's why folks I think that makes it even more exciting to fight it using data science here is the cool part you can use data science techniques to help control and even predict this fires one method is called K means clustering it's like a way to group together areas with similar fire risks and severity this helps you identify major fire hotspots so you can allocate resources more effectively but wait there is more you can also use meteorological data that is data about weather conditions to figure out when wildfires are more likely to happen by looking at patterns in weather data you can increase the accuracy of your prediction model so imagine having a system that can predict where wildfires might happen even more than that it can also predict when they happen this kind of information is super valuable for firefighters and the forest management teams it helps them plan ahead and protect the forests final thoughts guys when it comes to Pi a project for your data science Journey there are a few things to keep in mind first of all think about your skills and experience level it's important to choose a project that's challenging but not too difficult based on what you know next go for something that really Sparks your interest whether it's predicting house prices analyzing YouTube comments or detecting credit card fraud try to pick a topic that gets you excited this motivation will keep your going through the project but if the data sets we have talked about don't quite fit what you're looking for no worries there are tons of other data sets out there waiting for you to explore so feel free to hand down a data set that's perfect for your field or interest remember the best projects are the ones that inspire you and push your skills to the next level all right my friends and this is all about five great data science projects for your portfolio don't forget to check out the links in the description below they might be super helpful and finally like subscribe thanks for watching until next time [Music]

Channel: Daniel Dan | Tech & Data

Views: 12,578

Keywords: data science projects, data science projects for beginners, data science projects for resume, best data science projects, data science project, best data science projects for resume, data science projects for portfolio, beginner data science projects, real-world data science projects, data science project ideas, best data science project ideas, top data science project ideas, best data science project idea, best data science project ideas 2024

Id: yu80bFrdBX8

Length: 9min 40sec (580 seconds)

Published: Tue Mar 12 2024