Top 5 Data Science Projects to Land You a Job in 2023
By effectively utilizing the relevant data, data science aids in the resolution of practical issues. Nowadays, businesses use the data collected by data science specialists to comprehend consumer behavior, forecast sales, and predict the future of the product in the market where it is being introduced. This is why organizations seeking data science professionals prefer candidates who have earned a Data Science Certification from a reputable institute with a program created to develop abilities valued by the industry.
A popular certification you can count on is Learnbay’s data science course in Hyderabad, which is accredited by IBM.
Your CV must include some clean data science projects if you want it to stand out from the competition. In this article, we've gathered 5 data science tasks to help your portfolio-building.
Sentiment Analysis
Language: R
Dataset: janeaustenR
Libraries
What is Sentiment Analysis?
Sentiment analysis is a technique used to examine the viewpoints of targeted customers on a particular good or service provided by the business. Businesses use it to test how well-liked their goods or services are. Finding the WHYs behind sales that fall short of expectations or a product or service that customers don't like is this primary objective.
Also, it aids in identifying changes that may be made to the brand's product to increase client acceptance.
Specific Details of the Project
You would need to employ NLP, applied linguistics, textual, and sensors to extract valuable insights from the offered data for this data science project. The primary function of sentiment analysis in Python is to categorize the polarity of the opinion about the service or good being given. The responses can range from positive to unpleasant or occasionally offer many options like joyful, unhappy, indifferent, excited, etc. This is a common idea for a data science project that you can modify to suit your needs and make it more straightforward or complex.
Detection of the Parkinson's Disease
Language: Python
Dataset/Package: Color Detection with Python
What is Parkinson's disease?
Parkinson's disease is a time-of-life condition that causes a person to lose control over certain bodily parts. Its signs start with hand tremors and progress to body rigidity and even shuffling steps. This illness has five phases, with stage 1 being somewhat unaffected by daily activities and stage 5 having significantly restricted day-to-day activity. Most people suffer more as a result of the disease's delayed detection.
Specific Details of the Project
Data science can help with this. Python is a coding language used with XGBoost to identify Parkinson's illness. A software library called XGBoost is available for free and supports various languages, including C language, R, Php, Python, Ruby, etc. Parkinson's disease early predictions can be generated with this data science initiative. It is possible to alert individuals at risk for developing Parkinson's disease or who are already exhibiting symptoms to provide them with better medical care.
Fake News Detection
Language: Python
Dataset/Packages: news.csv
Libraries: Scikit learn
What is Fake News?
It might be challenging to spot fake news. Information is transmitted through various platforms and methods, but is it accurate or not? This is a severe issue because fake news can spark misinterpretation, which can result in significant harm on a global scale. The transmission of false information has accelerated with the daily increase in data production. How can data science be used to identify this fake news?
Specific Details of the Project
This data science project idea can be turned into a Python project. To categorize the news as Genuine or Fake, this model will have two classifiers: a TfidfVectorizer and a Passive Aggressive Classifier. You can use JupyterLab, a web-based user interface, to deal with documents and activities, including Jupyter notebooks, text editors, and spreadsheets.
On that note, have a look at Learnbay's Data Science Course in Pune get a chance to work on fake news detection projects.
Prediction of the Next Word
What is the Prediction of the Next Word?
At some point in our lives, all of us have used Google Documents, WhatsApp, or the Google search box. Have you ever observed that a few text suggestions are displayed on your screen while users type? Word prediction is what we refer to when we say this. Several algorithms have been developed to aid in anticipating and proposing what our next word might be.
Specific Details of the Project
The freedom to develop predictive-type models is a particular feature of working on data science projects. Using Google Documents, WhatsApp, or the standard Google search function, you must have observed that all of these employ anticipating the next word by offering an alternative word following each new word you input.
This is a fantastic choice if you want to move on to more difficult projects. To find the following word, deep learning or NLP expertise is needed. The best option for this is the LTSM (Long Short-Term Memory) model, which uses deep learning and a network of artificial cells to regulate all the memory. They are, therefore, more suitable for forecasting the next word.
Movie Recommender
Language: R
Dataset: MovieLens
Packages: recommended lab
What is a Movie Recommender?
In today's hurried culture, proposed methods are quickly rising in favor. Have you previously used Netflix to watch a movie online? The platform is aware of the content you actually watch and recommends videos or TV shows you might like as per your preferences.
A movie recommendation aids someone in discovering further media that they might like. Every user receives a customized list according to their tastes. These suggestions might be based on browsing history, what other viewers with your interests or attributes view, and more.
Specific Details of the Project
One of the data science initiatives that will undoubtedly get much attention is this one! Who doesn't enjoy having Netflix or YouTube recommendations for movies or TV shows in their area of interest? To carry out this job, you can compile feedback from people who have already seen a film and organize their comments.
The R programming language can be used to build this movie recommendation engine. MovieLens will be the ideal dataset for this project. You may also access packages like reshape2, ggplot2, and data. table, and it includes 58k movies.
Closing Thoughts
If you sufficiently understand the appropriate tools and procedures, no data science endeavor is tough. In reality, working on various projects is the greatest way to determine how well a technology works in practice. Your exposure is just correct, and it improves your problem-solving abilities. Learnbay offers a Data Science Course in Banglore that includes 12+ industry projects, mentorship from industry experts, and placement support throughout the course of the program.
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