15 Data Mining Projects Ideas with Source Code for Beginners

Explore some easy data mining projects ideas with source code in python for beginners to strengthen your skills and build a portfolio to get you hired.

15 Data Mining Projects Ideas with Source Code for Beginners
 |  BY Manika

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code.

data mining projects ideas

15 Top Data Mining Projects Ideas

Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. They often miss the crucial step of performing basic statistical analysis on the dataset to understand it better. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use.


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This blog has a list of Data Mining project ideas to help our readers learn the significance of analysing a dataset before applying machine learning methods. All the project ideas in this blog have been divided into the following five categories for your convenience.

  1. Simple Data Mining Projects on Kaggle

  2. Data Mining Projects for Students/Beginners

  3. Data Mining Projects using Weka

  4. Data Mining Python Projects with Source Code

  5. Data Mining Projects Github

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Simple Data Mining Projects on Kaggle

Suppose you have no idea about data mining projects, what is it, why should one study them, and how it works, then these data mining project ideas for beginners might be a great start for you. Below you will find simple projects on data mining that are perfect for a newbie in data mining.

Data Mining Project on Walmart Dataset 

Data Mining Project on Walmart Dataset 

Dataset: In this Data Mining project, you will use the Walmart dataset, which has historical data of sales, markdown data, and macro-economic feature values for the Walmart stores. The dataset has three files, namely features_data, sales_data, and stores_data.

Project Idea: By merging using unique key values, you can take a look at the statistics of the dataset using Pandas dataframes and Matplotlib library of Python Programming language. The dataset has non-numerical values and a few random negative values for certain features. So, by working on this dataset, you can learn how to handle such kinds of values. You can try performing univariate and bivariate analyses for feature variables to draw insightful conclusions from the data.

Data Mining Project with Source Code in Python and Guided Videos - Machine Learning Project-Walmart Store Sales Forecasting.

Data Mining Project on Credit Card Fraud Detection Dataset

Many people are interested in using a credit card for the benefits it usually provides. Still, when the thought of fraudulent transactions through the card crosses their minds, they immediately drop the idea of owning it. Credit card issuing companies thus have to ensure that the fraudulent transactions are kept as low in number as possible.

Data Mining Project on Credit Card Fraud Detection Dataset

Dataset: For this project, you can use the Credit Card Fraud Detection Dataset on Kaggle to build one of the most interesting data mining mini-projects. The dataset has as many as 31 columns for you to explore. 

Project Idea:  You can learn how to apply the Nearmiss technique and SMOTE method for undersampling and oversampling data respectively. You can scale different variables to draw better conclusions from the data and also learn how to treat outliers in a dataset.

Complete Solution: Credit Card Fraud Detection Data Science Project

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Data Mining Project on Wine Quality Dataset

If you are looking for data mining projects using R or data mining projects with source code in R, then this project is a must try.

Data Mining Project on Wine Quality Dataset

Dataset: For this project, you can use the R programming language. The dataset for this project is multivariable and is readily available on the UCI Machine Learning Repository. It contains information about red and white wine. You can work with a dataset of each type of wine separately or work with both datasets. 

Project Idea: The dataset has chemical features like pH, acidity content, sugar content, citric acid content, etc., for different samples of wine. Using R, you can plot different kinds of graphs like box plots and univariate plots. You can also learn how to perform correlation analysis and bivariate analysis by working with this dataset.

Complete Solution: Wine Quality Prediction in R using Kaggle Wine Dataset 

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Data Mining Projects for Students/ Beginners

If you have a fair idea of simple data mining projects and want to become a pro at data mining, you should start with this section. This section has a list of data mining projects for beginners.

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Data Mining Project on Sentiment Analysis

For eCommerce websites like Amazon, Flipkart, eBay, Alibaba, the customers’ feedback on all the products is crucial. They motivate a more significant number of customers by convincing them that the products are worth the price.

Data Mining Project on Sentiment Analysis

Dataset: For this project, you can download the Drug Review Dataset from UCI Machine Learning Repository. The dataset has many columns, including patients’ ID, name of the drug, the disease a specific patient is suffering from, review for the drug, etc. 

Project Idea: As you must have observed on popular eCommerce websites, the reviews are not always informative. So, the first thing you can do is analyse the dataset and separate the relevant and informative reviews from the non-relevant ones. A simple approach for this would be to pick lengthy reviews. To better understand the customers’ sentiments, you can use Python to evaluate metrics like Noun score, Review polarity, Review subjectivity, etc.

Complete Solution: Ecommerce product reviews - Pairwise ranking and sentiment analysis 

Data Mining Project on Financial Dataset

Covid-19 has affected a large number of lives that humankind could not even estimate. During this pandemic, the world witnessed the global market going through abrupt and unexpected highs and lows.

Dataset: As a fun idea, an Indian user on Kaggle came up with a fun idea of collecting data for data mining projects. He prepared a google form and circulated it among individuals to collect information about their financial investments. So, the dataset has an individuals’ gender and age along with the details about their deposits in different investment options (gold bonds, PPF, Fixed deposits, etc.)

Project Idea: With the help of the Kaggle user’s dataset to analyse the preferences of Indians in investing their money. You can also do a gender-based analysis to understand which gender is likely to pick specific investment options. As the dataset also contains the age of the individuals, you can use it to know the bias of younger and older people for investing their money.  

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Data Mining Project on a Customers Dataset

For a company, analysing its customers’ preferences is very important. Most companies have now started mining customers data to understand their customers’ choices and behaviour better. This approach helps them recommend appropriate products to their customers and inventory management of their warehouses.

Data Mining Project on a Customers Dataset

Dataset: For this project, you can work with the Foodmart Store Dataset. This dataset has information on the customers of Foodmart, a convenience store chain in the US. They have provided different files for different feature values, such as products data, sales statistics, etc. 

Project Idea: You can merge the different dataset files and start the data mining process by cleaning it a bit. After the basic steps, you can perform univariate and bivariate analyses on the dataset. You can use the dataset to evaluate associate rules for customers purchases. Using this dataset, you can explore the differences between Apriori and Fpgrowth algorithms. Additionally, you can implement other data science techniques used for Market Basket Analysis.

Complete Solution by ProjectPro: Market basket analysis using apriori and fpgrowth algorithm

Recommended Reading: 7 Types of Classification Algorithms in Machine Learning

Data Mining Projects using Weka

Weka stands for Waikato Environment for Knowledge Analysis. It is a tool developed by the University of Waikato to make mining data from various datasets an easy task. If you want to experience how to use Weka, check out the data mining sample projects below.

Data Mining Project on Boston House Pricing Dataset

Boston House Pricing Dataset is one of the most popular datasets among beginners in Data Mining and Machine Learning. You can easily download the dataset from the UCI Machine Learning Repository.

Data Mining Project on Boston House Pricing Dataset

Dataset: The dataset has details of 506 houses. The details are contained in 14 columns that describe various characteristics of the houses.

Project Idea: After importing the Weka dataset, you can easily visualise all the features using the “Visualise all” buttons. Notice the distribution of each variable in the resulting graph and conclude it. You can view the relationship between variables by clicking on the Visualize tab and playing with the point size to see all the plots. You can use Weka to perform feature selection and effortlessly create normalise and standardised versions of the dataset. You can also implement data analysis methods on this dataset to explore it in depth.

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Data Mining Project on Students Performance Dataset

It will not be difficult for most of us to appreciate that a class in any school never has students of the same kind. Each student has an individual personality that defines their behaviour and interests. Not all of them are good at academics. It is thus an exciting task to work on the dataset of a class and analyse student performances.

Data Mining Project on Students Performance Dataset

Dataset: There is a Student Performance dataset available on Kaggle that you can use for this data mining project. It contains information about the socio-economic background of students and their grades in various subjects.

Project: You can use the dataset to analyse the significance of socio-economic factors in affecting a student’s performance. You can do a gender-based analysis as well for understanding how gender relates to the student’s grades.

Data Mining Python Projects with Source Code

When browsing the internet for data mining projects for final year students, most students look for easy implementation examples and have their source code readily available. The code allows them to understand the difficulty level and customise their projects. If you are a final year student looking for such projects, look at the list of projects below.

Data Mining Project on Cafe Dataset

You can find another interesting application of data mining projects in the datasets of food cafes. Deciding the items and their prices on a menu card is not an easy task for cafe owners. They have to constantly analyse their customers’ choices to set the optimum prices of their food items on the menu.

Dataset: The dataset for this project can be downloaded from here. It has three files that contain information about the cafe’s sales, transactions, and time labels for each transaction.

Project Idea: Using the dataset mentioned above, you can verify a few fundamental economic trends in the dataset as a first step. These trends will include analysing price trends and sales of all the items, sales on special holidays and weekends, and more such trends. You can draw more insights by visualising the dataset through the seaborn library of the Python Programming Language. Another metric that you must evaluate for this project is the Price Elasticity of all cafe items.

Source Code: Machine Learning project for Retail Price Optimization

Data Mining Project on Amazon Review Dataset

Amazon Reviews are a boon for customers and Amazon itself as it can analyse the data to draw relevant inferences.

Data Mining Project on Amazon Review Dataset

Dataset: The dataset you can work on for this project will be the Amazon Reviews/Rating dataset which has about 2 million reviews for different products. 

Project Idea: Hands-on practice on this data mining project will help you understand the significance of cosine similarity and centred cosine similarity. And, after normalising the ratings, you can create a user-item matrix to identify similar customers.

Source Code: Build a Collaborative Filtering Recommender System in Python

Data Mining Project on San Francisco Salaries Dataset

When there are severe disparities in the distribution of wealth among the rich and the poor of a country, it is termed economic inequality. There could be many reasons behind it, like income inequality, social differences, etc. One can work on a salary dataset to understand the situation better.

Project Idea: For this project, you can use the San Francisco Salaries Dataset to understand the income inequality in San Francisco city. In addition, you can also analyse the factors responsible for the promotions of certain employees. It would be easy to use the R programing language for this project and visualise the datasets through ggplot, scatter plots, box plots, and whisker plots. To look at the distribution of the salaries, you can also try plotting the density plots.

If you are looking for data mining projects using R, you must add this project to your list of cool data mining projects.

Source Code: Explore San Francisco City Employee Salary Data

Data Mining Project on MNIST Dataset

Modified National Institute of Standards and Technology (MNIST) released a widely used dataset by beginners in Deep Learning. That is because most new algorithms are tested on it for analysing their performance and efficiency.

Data Mining Project on MNIST Dataset

Dataset: The MNIST dataset has about 10K grayscale images of handwritten digits (0 to 9), with each image having the size of 28 x 28 px. You can easily access the dataset in Python through its TensorFlow library.

Project Idea: Python has exciting libraries like Seaborn and Matplotlib’s Pyplot for visualising any kind of dataset. Using these libraries, you can analyse different types of handwriting styles of people for the same number. As a bonus, you can try designing a CNN model using Keras and Tensorflow to predict the digit for a given image.

Source Code: Digit Recognizer Data Science Project using MNIST Dataset

Data Mining Project on Fake News Dataset

With the internet becoming easily accessible to the world, information is now available to us at the touch of a button. We no more need to spend hours looking for books to know the answers as they are just a google search away. While this is a boon for most of us, it occasionally becomes a bane as we come across web pages with irrelevant and misleading information.

Data Mining Project on Fake News Dataset

Dataset: You can use the Fake News dataset available on Kaggle for this project. It has a collection of fake and real news articles. The information provided to you will be in columns that contain

unique id for each article

Title of the article

Author of the article

The text contained in the article

A tag that denotes whether the article is fake or relevant.

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Project Idea: The Fake news dataset can be explored to understand the characteristics of fake news articles. You can plot different graphs in Python to analyse the important keywords specific to fake news texts. Also, you can identify authors who are usually behind this. If you have a thing for NLP, you can try a few methods to inspect the dataset better.

Complete Solution: Fake News Classification Project with Source Code and Guided Videos in Python

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Data Mining Projects Github

GitHub is the go-to website if you are particularly interested in straightforward data mining projects with source code. These projects are easy to understand, and GitHub users write beginner-friendly codes for the newbies in Data Mining projects. Below we have listed data mining application projects that are pretty popular and easy to implement.

Data Mining Project on Mushroom Classification

Many people avoid eating mushrooms as they don’t have an excellent idea of which mushrooms are poisonous and edible. It thus becomes essential to understand different types of mushrooms so that everyone can enjoy the taste of mushrooms without any worries.

Data Mining Project on Mushroom Classification

Dataset: Kaggle has a dataset on Mushrooms that contains interesting information about different types of mushrooms. The dataset mostly has physical features of the mushrooms like cap colour, cap shape, gill colour, gill shape, etc. Each mushroom has been labelled as ‘e’ (edible) or ‘p’ (poisonous).

Project Idea: For this project, we suggest you analyse both the edible and poisonous mushrooms separately. This approach will allow you to understand which factors are more prominent in deciding the nature of mushrooms. 

GitHub Repository: By Johanata Rodrigo: Mushroom's data mining

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Data Mining Project on Heart Disease Prediction

Healthcare is another domain where data mining techniques are widely used. If you are curious about data mining projects in healthcare, you should explore the heart disease dataset from the UCI Machine Learning Repository.

Dataset: The dataset contains 75 particulars of 303 people. These particulars include parameters related to an individual’s heart health like age, gender, serum cholesterol, blood sugar, etc.

Project Idea: For this project, you are advised to remove features that have missing values. So, you will be left with a dataset of 14 attributes. For this project, you can perform gender-based and age-based analysis to answer questions like -

  • What percentage of younger people are prone to be diagnosed with heart disease?

  • Are women more prone to heart diseases, or is it the other way?

Apart from this, you can study the parameters that play a vital role in determining the health condition of people’s hearts.

GitHub Repository: Heart-disease-prediction by Mansi Aggarwal

Data Mining Project on Netflix Dataset

Analyzing Netflix data provides insights into consumer preferences, which can be used to inform content creation and acquisition decisions. It can also help to optimize recommendations, improve user experience, and increase customer retention. Additionally, data analysis can reveal trends in viewer behavior and inform advertising strategies. 

Dataset: The "Netflix Dataset.csv" contains information on over 7,000 movies and TV shows available on Netflix as of 2019, including titles, directors, cast, ratings, duration, release year, and genre.

Project Idea: This project is an example of performing data mining techniques on a dataset of Netflix movies and TV shows using Python libraries and machine learning techniques. The project explores the data using descriptive statistics and visualizations and uses machine learning models to predict movie ratings. The project demonstrates the power of data mining and analysis in understanding trends and making predictions in the entertainment industry.

GitHub Repository: Netflix Data Analysis by  Kosaraju Sai Manas

Why you should work on Data Mining Projects?

Data Mining refers to the art of implementing statistical algorithms and mathematical techniques to understand the given dataset better. It also involves drawing interesting and relevant conclusions from different datasets. Businesses can then use these conclusions for decision making.

This blog introduced you to a few of the best data mining projects popular among the Data Science community. If you are looking forward to building a career in Data Science, data mining projects should be the first goal on your task list. That is because most Data Science and Machine Learning projects require you to first utilise basic data mining techniques before applying any machine learning algorithms to them.

Of course, as a beginner in Data Science, it is tough to have datasets for data mining projects and have their solution code to understand the data mining techniques. 

ProjectPro’s solved end-to-end projects in Data Science are designed and vetted by industry experts from JP Morgan, Uber, and Paypal to provide you projects on most recent tools and technologies. You can use these projects to realise your dream of making a career in Data Science. The exciting part of learning from ProjectPro is that you will be provided with a customised learning path based on your previous knowledge in Data Science. So, if you are a beginner or a professional, we have got you covered.

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FAQs on Data Mining Projects

What is Data Mining with examples?

Data Mining is the process of using mathematical and statistical tools over a dataset to draw relevant inferences from it.

Data Mining Examples

Data Mining methods can be applied to intelligent anti-fraud systems for analysing card transactions, credit ratings, and for inspecting purchasing patterns through customers shopping data.

What are the three types of data mining?

There are many types of data mining which include

  • Graphic Data Mining

  • Mining the Social media content

  • Textual Data Mining

  • Video and Audio Mining

  • Web Mining

What can data mining be used for?

Data Mining can be your first step whenever you are working on a data science project. Before using the dataset for your data science project, you must thoroughly use data mining methods to know your dataset. This step will help you clean up your data and understand which algorithm should be used to make predictions.

How do you present a data mining project?

You can use GitHub for presenting a data mining project. After implementing the projects in environments like IPython Notebook, you can upload your project in your personal GitHub repository and share it with the concerned people. Make sure you provide enough content in the read-me file to make it easy for the repository visitor to understand your Data Mining project.

How to describe Data Mining Projects in Resume?

When describing data mining projects on a resume, it's important to provide specific details such as the data sources used, the techniques and data mining algorithms applied, and the insights gained. Highlight the impact of the project on the organization and any resulting improvements. Quantify the results wherever possible.

 

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About the Author

Manika

Manika Nagpal is a versatile professional with a strong background in both Physics and Data Science. As a Senior Analyst at ProjectPro, she leverages her expertise in data science and writing to create engaging and insightful blogs that help businesses and individuals stay up-to-date with the

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