Data Science has been on the rise for the past few years and the market is ripe for skilled and knowledgeable data scientists. More and more industries begin to realize the power of Data Science; more opportunities emerge in the marketplace. If you like Data Science and are eager to have a solid grasp of the technology, now is a great time to hone your skills. This article shares some practical ideas for your next data science project to practice your theoretical data science skills and get hands-on experience on practical and real-life projects.

To learn more about data science, read our blog – What is data science?

Tips to Choose the Right Data Science Project  

As a first step, I think of a potential project that meets the following three requirements to make it the most interesting and enjoyable:

  • Choose the topic that you are passionate about
  • Solve an interesting problem or question
  • Check if the data science project you choose ensures automation, efficiency, and performance improvements over the existing projects

Data Science Project Ideas

With these data science project ideas, you can learn the practicalities of Python for data science, R, Deep Learning, Machine Learning, and Artificial Intelligence.

Building Chatbots

Language: Python

Dataset: Intents JSON file

Source code: Download Python Chatbot Data & Project Source Code (Data Flair)

Chatbots play a vital role for businesses, as they can effortlessly handle a barrage of customer inquiries and messages without any slowdown. They have themselves reduced the customer service workload for us by automating most of the process. They do so using techniques supported by Artificial Intelligence, Machine Learning, and Data Science. You can create these chatbots using Python libraries and deep learning techniques.

To train the chatbot, Recurrent Neural Networks containing categories (intents), patterns, and responses can be used with the intended JSON data set. Python can be used in their implementation. You can keep your chatbot domain-specific or otherwise, basis its purpose. With more interactions of the chatbots, their intelligence and accuracy also increase.

Naukri chatbot

Also Read – How to become a data scientist?

Credit Card Fraud Detection

Language: R or Python

Data set: data on the credit card transaction is used here as a data set.

Source Code: Credit Card Fraud Detection Using Python (Kaggle)

credit card fraud detection

The credit card fraud detection project will help to analyze the customer’s typical spending behavior. This will also include mapping the location of those expenses to identify fraudulent transactions from non-fraudulent ones. For this project, you can use R or Python with the customer’s transaction history as a dataset and ingest it into decision trees, artificial neural networks, and logistic regression. The probability to achieve a successful data science project is largely dependent on the quantity of data. More the data, more the accuracy, so try to include as much data as you can.

Recommendation Systems (Movie/Show Recommendation)

Language: R

Dataset: MovieLens

Packages: recommenderlab, ggplot2, data.table, reshape2

Source code: R Movie Recommendation System Project

Have you ever wondered how media platforms like YouTube, Hotstar, NetFlix, and others recommend you? What to see next? To do this, they use a tool called a recommendation system. It takes into consideration various metrics, such as age, previously viewed shows, most viewed genre, and frequency of shows, and feeds them into a machine learning model that generates what the user might want to see next.

movie recommendation

Based on your preferences and input, you can try to build a content-based recommendation system or a collaborative filtering recommendation system. For this project, you can choose R with the MovieLens dataset that covers the ratings of more than 10,329 movies, and for packages, you can use recommenderlab, ggplot2, reshap2, and data.table.

Brain Tumor Detection with Data Science

Language: Python

Source Code: Brain MRI Image Dataset

 

brain tumor detection

Brain tumor detection is among the popular data science project ideas. This task involves segmenting and classifying the brain tumor using magnetic resonance images (MRI) with the help of Deep Neural Networks (DNN) based architecture. The obtained results are validated on various parameters including accuracy, sensitivity, specificity, Dice Similarity Coefficient (DSC), precision, false positive rate (FPR), true positive rate (TPR), and Jaccard similarity index (JSI) respectively.

Must Read – Data Scientist Salaries – Your Ultimate Guide

Sentiment Analysis

Language: R

Dataset: janeaustenR

Source code: Sentiment Analysis Project in R (Data Flair)

sentiment analysis

Sentiment analysis is another interesting data science project idea. This project involves applying artificial intelligence tools to identify, gather and analyze the opinions of people on a particular topic or a product. Machines gather these opinions from a range of sources like online reviews, survey responses, Tweets, Facebook comments, etc. These reviews highlight a number of emotions like such as happiness, anger, positivity, negativity, excitement, and much more. Sentiment analysis tools have been beneficial for many data-driven businesses as these tools contribute towards devising businesses strategy considering the emotions of the users. You can use R with the JaneaustenR dataset along with the tidytext package to build such a project.

More Data Science Project Ideas

We will be covering the following data science project ideas in the future.

  • Coronavirus visualizations
  • Visualizing climate change
  • The Uber Pickup analysis
  • Web traffic forecast using time series
  • Impact of climate change on the global food supply
  • Screening for Parkinson’s disease
  • Pokemon data exploration
  • Viewing the Earth’s Surface Temperature

Conclusion

We hope that these data science project ideas will certainly help you to improve your existing skills and add new ones. With the right knowledge and experience, you can certainly care to way to become a successful data scientist. Furthermore, you can consider taking online data science courses to learn the intricacies of the topic and work on many other data science projects to make yourself job-ready.

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