Many students today prefer to learn new technologies having a good scope and great career opportunities. Among them, Data Science is a trending field and with the support of Python language, it can deal with large amounts of data. Thus, the combination of Python Data Science helps students to carry out different types of mini projects. Python is a high-level, object-oriented coding language used to build websites, and software, automate various tasks, and many more.
Data Science is a field that gives skills and information about different types of data formats.
Moreover, Data Science deals with a large volume of data by applying modern tools and techniques. It helps to extract valuable information from the data to make strong business decisions and other strategies. In other words, it helps to analyze data for many actionable insights. Furthermore, it will help organizations tackle data analysis issues.
So, here we brought you some interesting Data Science mini projects based on Python. These projects will help to boost confidence within you to do any real-time projects. Also, you can improve your skills to enhance your career in this field.
If you’re willing to learn how to utilize Python language for any project, then you can opt for Python Training in chennai with experts’ guidance. Get real-time learning experience to enhance your career in IT.
Data Science Python projects for beginners
Let us start with some interesting project ideas where you can use Python language.
Here we go with the first Python Data Science mini project to conduct sentiment analysis. The term Sentiment Analysis is related to analyzing words or an NLP technique to determine sentiments and opinions. This helps to check the data is whether positive, negative, or neutral. Moreover, this data will help businesses to understand the overall customer sentiment and opinion of their services & products.
Here, we can utilize the Python Libraries like Pandas and Scikit-Learn. We will build a machine-learning model to estimate people’s sentiments and opinions for a product review. This will give the outcome for sentiment and review columns of a given product. To make this
project easier for you, we will try to estimate whether the product review is positive or negative.
Therefore, here we can use the binary classification method as the possible outcomes will be only two.
Let’s move on to the second project in the Python Data Science mini-projects article.
In this Python Data Science mini-project, we will try to do real-time audio analysis that will attract music listeners. Here we will use the FFT (Fast Fourier Transform Tool) to conduct real-time audio analysis. FFT is the most powerful measurement approach in the evaluation of audio and acoustics fields. It provides the signals’ frequency data by transforming signals into independent spectral components.
Having FFT tool skills will be an added advantage for a Data Scientist. So that they can help musicians, and other music players to get real analysis.
Fake News Detection
In this data science mini-project we will use Python for detecting fake news. Today, we can see there is high trending fake news with false information about unknown events across social media and other online channels. To detect fake news in media channels, we will use Python to build a model in this DS project. This model will perfectly detect a piece of news in the online media whether it is real or fake.
To build this, we have to use TfidfVectorizer that detects the frequent words by using in-memory vocabulary. Also, we have to use a Passive Aggressive Classifier that will group the news into Real and Fake categories. This is one of the online learning algorithms in ML that responds Passive to correct data and Aggressive to negative data.
In this Python data science project, we will develop an application for detecting colors. There are many different colors we see around us and there are more than 16 million colors as per RGB values. But we can remember only a few colors among them.
Therefore, we wil develop an application that will identify the chosen color from any picture. To apply this, we must need labeled data of all the existing colors. Then we can calculate which color will favor the selected color value from an image. Thus, color detection will be much easier with this attempt.
Fraud Detection in Banking Sector
This is another interesting mini-project in data science projects where we can detect banking fraud. These days we can there are many credit card and banking frauds happening across the globe. Hackers are playing the important role in hacking crucial details from online/digital transactions. This gives them the way to make any fraud and empty the account from the user’s end. To tackle this issue, we are going to do a mini-project by applying certain tools and techniques.
We can use the concepts like decision trees, artificial neural networks, Logistic Regression, etc. to detect credit card fraud. Moreover, we can use the Card transactions data set to categorize the credit card transactions into Real and Fraud. Thus, this classification will help us easily to find genuine transactions.
Hence, these are the top five data science mini-projects that will apply both Python and Data Science skills. Apart from these, there are many types of projects where you can utilize Python and other coding languages. So, you need to acquire certain skills that will help you further to deal with large-scale projects.
Getting Python skills will be added advantage here to perform Data science projects. If you are aware of some basic Python libraries like Numpy, Pandas, Scikit-learn, etc. then it will help you to execute a Data Science project easily.
Similarly, to learn data science you have to learn maths, statistics, programming, etc. The above beginner projects will help you to start with the basic level of applying techniques & tools in data science projects. Further, if you can learn programming skills, then it will highly benefit you ahead. So, keep learning to update your skills.