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Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning, and other uses. Data science projects for beginners-apply your data science skills to interesting data science project ideas and solve real-world data science problems. So, this article deals with one such technological aspect which has made life easier for people dealing with a large amount of data on a daily basis. Many people are interested in the field of Data Science and in the same flow, pursue many data science mini-projects. Here is the list.
Human emotions analyzer: In this project, you will be using a sentiment analyzer with the help of data science on various statements put up on various websites, social media accounts, documents, articles, etc., and can analyze the nature of opinion with which that statement was said.
Building a resume parser using NLP and ML: Resume parsers use ML technology to help recruiters search thousands of resumes in an intelligent manner so they can screen the right candidate for a job interview. In this project, you will build an NLP algorithm that parses a resume. The resume parser then counts the occurrence of words under various categories for each resume that helps recruiters screen ideal candidates for a job.
Bonus: In this project where you collect data using an API or some other external tool. Most companies that rely on third-party data often purchase API access, and you will need to do the data collection with the help of these external tools. Use the Twitter API to collect data related to a specific hashtag and store the data in a data frame.
Fake news detection: This project prepared from R Language's dataset labels real and fake news well along with an appropriate representation of the textual information. Later, we may incorporate the notions of NLP.
Banking fraud detections: In this project, you will be able to detect frauds in credit cards with the help of data science by using concepts like decision trees, neural networks, and logistic regression.
Pairwise reviews ranking-sentiment analysis of product: In this project, you will use an NLP technique to pre-process and extract relevant features from the reviews and rating dataset. Use semi-supervised learning methodology to apply the pairwise ranking approach to rank reviews and also further segregate them to perform sentiment analysis.
World happiness report: This is a project that will help improve your skillset as an analyst. Data scientists and analysts are always looking for contributing factors. They are always looking to find relationships between variables, and are constantly asking questions.
Implementing a driver fatigue detection system: This is possible with the real-time implementation of a driver drowsiness project which requires a webcam and some libraries of Python programming language. Such a project can reduce the increase in the number of road accidents and also ensure public safety round-the-clock.
Data sorting: In this project, you will develop a beginner-level project using python, you will sort data based on various categories as per your requirement by using data science techniques which include statistics, programming, data intuition, data wrangling, etc.
Text extractor: In this project, you will be extracting text from platforms where it is not possible to cut, copy or paste text with the help of data science, AI, and computer vision.
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