Data Mining Projects With Source Code Free Download [2021]
Samatha Zwiefelhofer
If you are planning to build your career in data mining, regardless of the fact that you are a student or a professional data analyst, it is always beneficial to have some outstanding data mining project ideas on hand. Not only building projects on data mining will help in building a strong portfolio, but also it will enhance skills.
Undeniably, data mining is an amazing career option and for that, following are outstanding data mining project ideas for beginners, intermediate and advanced students along with source code for additional help.
There are around 16 million colors according to different RGB color values, but a human mind can only remember quite a few. It is common that after seeing the color, you are still not able to name the color. In this data mining project, you are going to build an amazing app which is going to help in recognizing color from any image. All you need is a labeled data of available colors and then the program runs to evaluate which color resembles most with the selected color value and helps in detecting colors easily. You can use the Python programming language in which Codebrainz Color Names dataset will be used for the project.
Looking out for data mining projects with source code? The Anime Recommendation system is one of the best projects as it includes a data set containing information regarding user preference from 73,516 users on 12,294 anime. Every user in the database will be able to add anime to the list and share ratings compiling a data set with those ratings. Anime recommendation system project helps in creating a system that produces efficient data based on the user viewing history and sharing rating.
Terrorism has mushroomed due to its deep roots at certain locations of the world. With increase in its activities, it is important to stop its spread or analyze the global terrorism data to identify the terrorist activities. Internet plays a major role in spreading terrorism by way of videos and speeches among youth to join the terrorist organizations. This project will help in detecting, evaluating, and analyzing global terrorism data and flag them for human review. Data mining helps in scanning and mining from all the unorganized and unstructured pages or data available that promotes terrorism and flag them.
In this interesting data mining project, image is an easy and memorable task for human beings, but for computers just a bunch of numbers for each pixel of color value. In this project, the most difficult task for the computer is to understand the image and then generate the description of it. If you are planning to go with Python programming language, Keras framework would be perfect with Flickr 8K data set.
Top-Notch companies such as Amazon or Netflix use this system to recommend their customers with the movies in their database. To design this movie recommendation project, you can choose any one approach out of two. First option is a content-based filter in which the system finds some similarity around different projects in terms of features or attributes that could be actor, genre or director of the movie. Another option is collaborative filtering that compares tastes of two accounts and suggests based on the user ratings. This system helps companies to engage their customers to the respective platforms. You can use MovieLens dataset if opting to go with the R programming language.
Data mining projects hold a special place in medical contributions. In this project, breast cancer is detected using the Python programming language. In this IDC_regular dataset helps in detecting actual presence of the commonest form of breast cancer i.e., Invasive Ductal Carcinoma. In this form of cancer, it targets milk ducts invading the fibrous or fatty breast tissue outside the duct. If you want to build this project using Python language, you should use Keras library for classification and IDC_regular dataset.
In this project, the dataset is evaluated based on a transparent open box (TOB) network for data mining and predictions. It provides accurate information from the hourly data record from power generation dataset and sensor reading dataset.
The following project is the classification project to predict the income level of an individual that exceeds 50K based on the census data available at the repository. The dataset that is used in the projects are variables such as age, type of work, working hours, sex and many more. It helps in understanding the standard of living of the city, benefit of setting up the business or bank loan eligibility. Also, it helps in understanding the real estate preferences by average income of the people residing in the area. In this project, you will also be able to figure out the type of tourist places that people from other countries would like to travel.
To cut the long story short, data mining is the process of analyzing huge chunks of data to discover business intelligence which helps in solving problems, seizing new opportunities, and mitigating long term risks. The process of discovering useful patterns and relationships in large volumes of data helps in understanding a problem deeply and tactics to deal with it diligently. It is widely used in research, medical, business and security to turn large data into useful information. Get started from the above list of projects from beginner to advanced and sharpen your skills. These data mining projects with source code will help in learning new abilities.
Data mining is a process of analyzing big data and creating business intelligence decisions. You can pick data mining projects to strengthen your skills and climb the success ladder. Whether you are a beginner, intermediate or advanced learner, this list will help you in proving your mettle.
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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.
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.
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.
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.
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.
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.
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.
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.
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