16 Data Science Projects 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 sixteen data science projects with source code so you can actually participate in the real-time projects of data science. These will help boost confidence and also tell the interviewer that you’re serious about data science.
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Finding a perfect idea for your project is something that concerns you more than implementing the project itself, isn’t it? So keeping the same in mind, we have compiled a list of over 500+ project ideas just for you. All you have to do is bookmark this article and get started.
- Python Projects
- Python Django (Web Development) Projects
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- Python Artificial Intelligence Projects
- Python Machine Learning Projects
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- Python Deep Learning Projects
- Python Computer Vision Projects
- Python Internet of Things Projects
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 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.
1.2 Road Lane Line Detection
Check the complete implementation of Lane Line Detection Data Science Project: Real-time Lane Line Detection in Python
Data Science Project Idea: The lines drawn on the roads guide human drivers where the lanes are. It also refers to the direction to steer the vehicle. This application is cardinal for developing driverless cars.
You can build an application having the ability to identify track lines from input images or continuous video frames.
1.3 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.
1.4 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
1.5 Color Detection with Python
Build an application to detect colors with Beginner Data Science Project – Color Detection with OpenCV
How many times has it occurred to you that even after seeing, you don’t remember the name of the color? There can be 16 million colors based on the different RGB color values but we only remember a few. So in this project, we are going to build an interactive app that will detect the selected color from any image. To implement this we will need a labeled data of all the known colors then we will calculate which color resembles the most with the selected color value.
Dataset: Codebrainz Color Names
1.6 Brain Tumor Detection with Data Science
Data Science Project Idea: There are many famous deep learning projects on MRI scan dataset. One of them is Brain Tumor detection. You can use transfer learning on these MRI scans to get the required features for classification. Or you can train your own convolution neural network from scratch to detect brain tumors.
Dataset: Brain MRI Image Dataset
1.7 Leaf Disease Detection
Data Science Project Idea: Disease detection in plants plays a very important role in the field of agriculture. This Data Science project aims to provide an image-based automatic inspection interface. It involves the use of self designed image processing and deep learning techniques. It will categorize plant leaves as healthy or infected.
Dataset: Leaf 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 with Data Science
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 Diabetic Retinopathy
Data Science Project Idea: Diabetic Retinopathy is a leading cause of blindness. You can develop an automatic method of diabetic retinopathy screening. You can train a neural network on retina images of affected and normal people. This project will classify whether the patient has retinopathy or not.
Dataset: Diabetic Retinopathy Dataset
2.3 Uber Data Analysis in R
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 in Python
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.
2.5 Chatbot Project in Python
Build a chatbot using Python & step up in your career – Chatbot with NLTK & Keras
Chatbots are an essential part of the business. Many businesses has to offer services to their customers and it needs a lot of manpower, time and effort to handle customers. The chatbots can automate most of the customer interaction by answering some of the frequent questions that are asked by the customers. There are mainly two types of chatbots: Domain-specific and Open-domain chatbots. The domain-specific chatbot is often used to solve a particular problem. So you need to customize it smartly to work effectively in your domain. The Open-domain chatbots can be asked any type of question so it requires huge amounts of data to train.
Dataset: Intents json file
2.6 Handwritten Digit Recognition Project
Practically implement the Deep Learning Project with Source Code – Handwritten Digit Recognition with CNN
The MNIST dataset of handwritten digits is widespread among the data scientists and machine learning enthusiasts. It is an amazing project to get started with the data science and understand the processes involved in a project. The project is implemented using the Convolutional Neural Networks and then for real-time prediction we also build a nice graphical user interface to draw digits on a canvas and then the model will predict the digit.
Get hired as a data scientist with Top Data Science Interview Questions
3. Advanced Data Science Projects
3.1 Image Caption Generator Project in Python
Check the complete implementation of data science project with source code – Image Caption Generator with CNN & LSTM
This is an interesting data science project. Describing what’s in an image is an easy task for humans but for computers, an image is just a bunch of numbers that represent the color value of each pixel. So this is a difficult task for computers to understand what is in the image and then generating the description in Natural language like English is another difficult task. This project uses deep learning techniques where we implement a Convolutional neural network (CNN) with Recurrent Neural Network( LSTM) to build the image caption generator.
Dataset: Flickr 8K
3.2 Credit Card Fraud Detection Project
Put your best foot forward by working on Data Science Projects – 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
3.3 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
3.4 Customer Segmentation
Put the medal to the pedal & impress recruiters with Data Science Project (Source Code included) – Customer Segmentation with Machine Learning
This is one of the most popular projects in Data Science. Before running any campaign companies create different groups of customers.
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
3.5 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.
3.6 Traffic Signs Recognition
Achieve accuracy in self-driving cars technology with Data Science Project on Traffic Signs Recognition using CNN with Source Code
Traffic signs and rules are very important that every driver must follow to avoid any accident. To follow the rule one must first understand how the traffic sign looks like. A human has to learn all the traffic signs before they are given the license to drive any vehicle. But now autonomous vehicles are rising and there will be no human drivers in the upcoming future. In the Traffic signs recognition project, you will learn how a program can identify the type of traffic sign by taking an image as input. The German Traffic signs recognition benchmark dataset (GTSRB) is used to build a Deep Neural Network to recognize the class a traffic sign belongs to. We also build a simple GUI to interact with the application.
Dataset: GTSRB (German Traffic Sign Recognition Benchmark)
The source code of all these data science projects is available 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.
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