In this article, We will list out some of the best data science projects for beginners, intermediate, and experts. The source code, step-by-step implementation, and datasets are also mentioned in each project. Let’s dive into the 15 best data science projects with source code, datasets, and tutorials.
Table Of Contents 👉
Data Science Projects For Beginners With Source Code
1. Detecting Parkinson’s Disease
Language: Python
Dataset/Package: UCI ML Parkinsons dataset
Step by Step Tutorial and Source Code: Data Science Project With Source Code
2. Leaf Disease Detection
This Data Science project aims to provide an image-based automatic inspection interface. It involves the use of self-designed image processing & other methods. It will separate and arrange plant leaves as healthy or infected
Step by Step Tutorial and Source Code: Leaf Disease Detection
3. Road Lane Line Detection
Language: Python
Tools & Libraries: OpenCV
IDE: Google Colab
Step by Step Tutorial and Source Code: Lane-Line Detection with Python & OpenCV
4. Brain Tumor Detection with Data Science
There are many popular deep learning projects on the MRI scan dataset. One of them is Brain Tumor detection. You can apply transfer learning on these MRI scans to get the required characteristics for classification. Or you can train your own convolution neural network from scratch to detect brain tumors.
Step by Step Tutorial and Source Code: Brain Tumor Detection
5. Sentiment Analysis Project
Language Used: R
Dataset: janeaustenR
Step by Step Tutorial & Source Code: Sentiment Analysis Project in R
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Data Science Projects For Intermediate With Source Code
1. Diabetic Retinopathy Project
Diabetic Retinopathy is one of the main reasons for blindness. You can create 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.
Step by Step Tutorial and Source Code: Diabetic Retinopathy Detection
2. Uber Data Analysis
Language: R
Dataset/Package: Uber Pickups in New York City dataset
Step by Step Tutorial and Source Code: Uber Data Analysis Project
3. Handwritten Digit Recognition Project
Language: Python
Dataset: MNIST
Step by Step Tutorial and Source Code: Handwritten Digit Recognition using Python
4. Speech Emotion Recognition
Language: Python
Dataset/Package: RAVDESS dataset
Step by Step Tutorial and Source Code: Speech Emotion Recognition with librosa
5. Driver Drowsiness Detection in Python
Language: Python
Frameworks: Tensorflow, Keras
Step by Step Tutorial and Source Code: Driver Drowsiness Detection System
Data Science Projects For Final Year Students With Source Code
1. Detect Credit Card Fraud with Machine Learning in R
Language: R
Dataset/Package: Card Transactions dataset
Step by Step Tutorial and Source Code: Credit Card Fraud Detection
2. Customer Segmentation using Machine Learning in R
Language: R
Dataset/Package: Mall_Customers dataset
Step-by-Step Tutorial and Source Code: Customer Segmentation
3. Breast Cancer Classification with Deep Learning Project
Language Used: Python
Dataset Used: IDC_regular
Step-by-Step Tutorial & Source Code: Breast Cancer Classification
4. Build an Image Caption Generator with CNN & LSTM
Dataset: Flickr 8K
Language: Python
Framework: Keras
Step-by-Step Tutorial and Source Code: Image Caption Generator
5. Python Project on Traffic Signs Recognition with 95% Accuracy using CNN & Keras
Language: Python
Dataset: GTSRB (German Traffic Sign Recognition Benchmark)
Source Code: Data Science Project For Final Year Student
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