11 Data Science Project Ideas with Source Code to Strengthen your Resume
Tried to build some data science projects to improve your resume and got intimidated by the size of the code and the number of concepts used? Does it feel too out of reach, and did it crush your dreams of becoming a data scientist? We have collected for you ten data science project ideas with source code so you can actually participate in the fundamentals of data science. These will help boost confidence and also tell the interviewer that you’re serious about data science.
In this blog, we will list out different data science project examples in the languages R and Python. Let’s separate these on the basis of difficulty so you have a proper path to follow.
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Top Data Science Project Ideas
Here are the best data science project ideas with source code:
1. Beginner Data Science Projects
1.1 Sentiment Analysis
Check the complete implementation of Data Science Project with Source Code – Sentiment Analysis Project in R
Sentiment analysis is the act of analyzing words to determine sentiments and opinions that may be positive or negative in polarity. This is a type of classification where the classes may be binary (positive and negative) or multiple (happy, angry, sad, disgusted,..). We’ll implement this data science project in the language R and use the dataset by the ‘janeaustenR’ package. We will use general-purpose lexicons like AFINN, bing, and loughran, perform an inner join, and in the end, we’ll build a word cloud to display the result.
1.2 Fake News Detection
Drive your career to new heights by working on Data Science Project for Beginners – Detecting Fake News with Python
A king of yellow journalism, fake news is false information and hoaxes spread through social media and other online media to achieve a political agenda. In this data science project idea, we will use Python to build a model that can accurately detect whether a piece of news is real or fake. We’ll build a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into “Real” and “Fake”. We’ll be using a dataset of shape 7796×4 and execute everything in Jupyter Lab.
1.3 Detecting Parkinson’s Disease
Put your best foot forward by working on Data Science Project Idea – Detecting Parkinson’s Disease with XGBoost
We have started using data science to improve healthcare and services – if we can predict a disease early, it has many advantages on the prognosis. So in this data science project idea, we will learn to detect Parkinson’s Disease with Python. This is a neurodegenerative, progressive disorder of the central nervous system that affects movement and causes tremors and stiffness. This affects dopamine-producing neurons in the brain and every year, it affects more than 1 million individuals in India.
Dataset/Package: UCI ML Parkinsons dataset
2. Intermediate Data Science Projects
2.1 Speech Emotion Recognition
Explore the complete implementation of Data Science Project Example – Speech Emotion Recognition with Librosa
Let’s learn to use different libraries now. This data science project uses librosa to perform Speech Emotion Recognition. SER is the process of trying to recognize human emotion and affective states from speech. Since we use tone and pitch to express emotion through voice, SER is possible; but it is tough because emotions are subjective and annotating audio is challenging. We’ll use the mfcc, chroma, and mel features and use the RAVDESS dataset to recognize emotion on. We’ll build an MLPClassifier for the model.
Dataset/Package: RAVDESS dataset
2.2 Gender and Age Detection
Put the pedal to the metal & impress recruiters with ultimate Data Science Project – Gender and Age Detection with OpenCV
This is an interesting data science project with Python. Using just one image, you’ll learn to predict the gender and age range of an individual. In this, we introduce you to Computer Vision and its principles. We’ll build a Convolutional Neural Network and use models trained by Tal Hassner and Gil Levi for the Adience dataset. We’ll use some .pb, .pbtxt, .prototxt, and .caffemodel files along the way.
2.3 Uber Data Analysis
Check the complete implementation of Data Science Project with Source Code – Uber Data Analysis Project in R
This is a data visualization project with ggplot2 where we’ll use R and its libraries and analyze various parameters like trips by the hours in a day and trips during months in a year. We’ll use the Uber Pickups in New York City dataset and create visualizations for different time-frames of the year. This tells us how time affects customer trips.
Dataset/Package: Uber Pickups in New York City dataset
2.4 Driver Drowsiness detection
Drive your career to new heights by working on Top Data Science Project – Drowsiness Detection System with OpenCV & Keras
Drowsy driving is extremely dangerous and around thousands of accidents happen each year due to drivers falling asleep while driving. In this Python project, we will build a system that can detect sleepy drivers and also alert them by beeping alarm.
This project is implemented using Keras and OpenCV. We will use OpenCV for face and eye detection and with Keras, we will classify the state of the eye (Open or Close) using Deep neural network techniques.
3. Advanced Data Science Projects
3.1 Credit Card Fraud Detection
Put your best foot forward by working on Data Science Project Idea – Credit Card Fraud Detection with Machine Learning
By now, you’ve begun to understand the methods and concepts. Let’s move on to some advanced data science projects. In this project, we’ll use R with algorithms like Decision Trees, Logistic Regression, Artificial Neural Networks, and Gradient Boosting Classifier. We’ll use the Card Transactions dataset to classify credit card transactions into fraudulent and genuine. We’ll fit the different models and plot performance curves for them.
Dataset/Package: Card Transactions dataset
3.2 Movie Recommendation System
Explore the implementation of the Best Data Science Project with Source Code- Movie Recommendation System Project in R
In this data science project, we’ll use R to perform a movie recommendation through machine learning. A recommendation system sends out suggestions to users through a filtering process based on other users’ preferences and browsing history. If A and B like Home Alone and B likes Mean Girls, it can be suggested to A – they might like it too. This keeps customers engaged with the platform.
Dataset/Package: MovieLens dataset
3.3 Customer Segmentation
Put the medal to the pedal & impress recruiters with Data Science Project (Source Code included) – Customer Segmentation with Machine Learning
Customer Segmentation is a popular application of unsupervised learning. Using clustering, companies identify segments of customers to target the potential user base. They divide customers into groups according to common characteristics like gender, age, interests, and spending habits so they can market to each group effectively. We’ll use K-means clustering and also visualize the gender and age distributions. Then, we’ll analyze their annual incomes and spending scores.
Dataset/Package: Mall_Customers dataset
3.4 Breast Cancer Classification
Check the complete implementation of Data Science Project in Python – Breast Cancer Classification with Deep Learning
Coming back to the medical contributions of data science, let’s learn to detect breast cancer with Python. We’ll use the IDC_regular dataset to detect the presence of Invasive Ductal Carcinoma, the most common form of breast cancer. It develops in a milk duct invading the fibrous or fatty breast tissue outside the duct. In this data science project idea, we’ll use Deep Learning and the Keras library for classification.
The code to all these data science project ideas is available to you on DataFlair. Get started now and build a project in Data Science. Follow from beginner to advanced, and once you’re done, you can move on to other projects.
Get hired as a data scientist with Top Data Science Interview Questions