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Code & Dataset
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Project Experience
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In this project, we will try to predict how often players playing a video game called PUBG will win when they play by themselves.
Given a partial trajectory of a taxi, you will be asked to predict its final destination using the taxi trajectory dataset.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.
In this project, we are going to predict item-level sales data using different forecasting techniques.
In this neural network project, we are going to develop an algorithm that will automatically identify the boundaries of the car images which will help to remove the photo studio background.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
In this machine learning project, you will use the video clip of an IPL match played between CSK and RCB to forecast key performance indicators like the number of appearances of a brand logo, the frames, and the shortest and longest area percentage in the video.
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture.Â
In this deep learning project, we are going to predict which team will win the NCAA basketball tournament of coming 2017 based on past historical data.
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
Data Science Projects :Beginner to Professional
So you are a data scientist, or you are on the learning path of becoming one, and you started looking for a job in this domain. This is not easy, and might be you need to apply to several data scientist jobs before getting one. You can continue learning as many theoretical concepts in data science and machine learning as you want, but what’s the use if you cannot apply them to real-world problems.
Let us suppose you are learning the concept of classification than just reading and understanding the theory does not help, you should actually pick up a small dataset and then build a classification model using either Python, R or any other programming language. Even if you learn advanced concepts in theory like Stochastic gradient or gradient descent would you ever know how and when to apply these concepts unless you practice it? Our panel of industry experts strongly suggest that working on data science projects with real data can help professionals looking for a serious paid job in data science. Having data science mini projects on your data science resume will help you show the interviewers what you know.
To land a top gig as a data scientist, you have a dreadful challenge ahead. You will need to master diverse data science skills , ranging from machine learning to business analytics. However, the rewards and perks are worth it. If data scientist is the career that you would want to enjoy, then bookmark this page as we have several interesting data science project ideas compiled by our industry experts that will help you master new and impactful data science skills.
Where ProjectPro’s Data Science and Machine Learning Courses help you master data science skills and help sharpen them, building multiple data science mini projects will give you hands-on experience solving real-world problems by applying these skills. Designed by industry experts, ProjectPro’s data science projects for beginners are a great way to kickstart your journey to become a data geek and build a marketable data science portfolio.
ProjectPro’s data science mini-projects in Python and R cover diverse industry use cases and you are definitely going to find something that you love or a problem you would want to solve and use your knowledge to do it. Each data science project will let you practice and apply the skills that you have learned in ProjectPro’s Data Science, Machine Learning and Deep Learning Courses. In every Python or R data science project you will perform end-to-end analysis, on a real-world data problem, using data science tools and workflows.
As a data science beginner or a student, it can be very difficult to assess which data science projects should actually be done first as a beginner and which projects should be put on the back burner. In choosing what to start with, we have listed the top 10 data science projects for students and beginners that will make learning data science easy. The prime advantage of these data science mini. Projects for beginners is that each one is a complete full-stack data science problem.
A Beginner’s Guide to Data Science Projects
Building your first Data Science Project
If you are a Data Science enthusiast who wants to build a career in the tech world by implementing Data Science projects in Python or Data Science projects in R, then you are on the right page. ProjectPro is the perfect repository of Data Science projects that will help you in realizing your goal of becoming a Data Scientist.
Whether you are a beginner or a professional, we assure you that you will thoroughly enjoy going through our end-to-end solutions for practical Data Science Projects. Through our detailed videos and source codes, ProjectPro will help you in building your Data Science portfolio which you can then utilize to land your dream job.
Below we have listed beginner-friendly data science projects that you can use as your first data science project.
Data Science Projects Beginners/Students -
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Credit Card Fraud Detection Project
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Telecom Churn Prediction Models
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Walmart Sales Forecasting
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Insurance Prediction
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Instacart Market Basket Analysis
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Handwritten Digit Classification using MNIST Dataset
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BigMart Sales Prediction
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Human Activity Recognition using Smartphone Dataset
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Music Recommendation Challenge
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Predicting Survival on the Titanic
Different Types of Data Science Projects
In this section, you will understand how data science projects can be split into categories. This splitting will assist you in navigating through the projects from ProjectPro’s repository in a neat manner. It will also help you in building a concise Data Science projects Portfolio for job applications.
Below you will find Data Science Projects that have been categorized on the basis of which subdomain of Artificial Intelligence they belong to.
Machine Learning Projects in Data Science Projects
This list contains machine learning projects for beginners with source code in Python and in R. Here, you will also find data analysis projects in Python and data analysis projects in R as well. That is because most machine learning projects require you to perform data analytics on the given dataset.
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Understanding the Retail Price Optimization Problem Data Science Project:
This project is one of the most interesting data science projects with Python as its programming language. In this python data science project, you will learn how to optimize the prices of luxury items by using the price elasticity of demand. -
Sales Forecasting for Rossmann Store Data Science Project:
Rossmann Store is a drugstore chain in Europe. In this Data Science project, you will use the store’s customers data to forecast sales for the chain’s stores in Germany. -
Price Recommendation for Retail Stores Data Science Project:
In this Data Science project, you will use the data obtained through a Japanese app, Mercari, to predict the prices of the products listed on the app. -
Avocado Price Prediction Data Science Project:
FAQ
1. How many data science projects are there in Python and R ?
There is no exact number of data science projects in Python and R that we have as we keep growing our repository of end-to-end data science projects every month. ProjectPro's repository is updated every month with new data science projects in Python and R based on the advent of novel machine learning tools, technologies, libraries , and frameworks. Our library of data science projects has different types of end-to-end independent projects that help you showcase versatile data science skills -data cleaning, data wrangling, data storytelling, model building and optimization , etc to employers making them a great fit for building a job-winning data science portfolio. However, if you still would like to have a clarity on the number of data science projects available in Python and R as of today , check them out here -
Data Science Projects in Python
Data Science Projects in R
2. Do you provide a lab environment ?
We do not provide any custom lab environment as we believe that it is better to dig into live AWS, Azure, and GCP environments to practice and apply real-world data skills. For our repository of big data projects , ProjectPro users can practice and apply big data skills using the AWS Free Tier and Azure Free Tier to enable lab environments in the cloud. The cloud lab environments provided by AWS, Azure, and GCP are real-time, safe, and provide risk-free trial and error for use either on a home network or on a corporate network connection. For practicing and applying real-world data science and machine learning skills, beginners and experts can use the incredibly powerful tool Jupyter Notebook for interactively developing , presenting and streamlining end-to-end data science workflows.
3. What kinds of datasets are used in the projects and what is their source?
When working on a personal data science project, if you have been struggling hard to find the right dataset for your next project , ProjectPro is for you. You need not spend a lot of time browsing on the web for interesting machine learning datasets to work with, all our end-to-end data science and machine learning projects are developed using popular big datasets from online repositories like Kaggle , UCI Machine Learning Repositories, Data.Gov, Google Public Datasets, AWS Public Datasets, and others. Regardless of whether you just want to practice your data science and machine learning skills or you want to strengthen your data science portfolio, we've got all sorts of datasets covered to help you practice.
4. Can I get a trial period for a week ?
You can get free access to ProjectPro's data science and machine learning projects limited to the respective number of days and projects as may be notified on the date of your enrolment by our Project Advisors. The trial period shall be revoked on expiry of the number of days. Talk to our Project Advisors to activate your free trial plan.
5. Can I work on these data science projects even if I don't have a system with good hardware?
When getting started with data science and machine learning, beginners usually think that they need to burn a hole in their pocket and upgrade the hardware to train a machine learning or a deep learning model as they run on millions and millions of data points. Experts at ProjectPro recommend having just the right hardware for running these end-to-end data science and machine learning projects. The choice for a computing machine or a laptop ultimately depends on the amount you are willing to shell out. However, experts recommend having a machine with a quad-core processor. Most of the computations for these projects on data science and machine learning depend on the RAM so just to ensure that when working on these real-world data science projects you don't run out of RAM, upgrade your computing machine with maximum RAM to the extent possible.
6. Can I get assistance from the industry expert who developed the project ?
Yes, Of Course, you will get assistance from any of our industry experts any time you wish at an additional mentorship fee. The experts will help you complete the project if you face any difficulties executing the code or need any guidance on the development of the end-to-end data science pipeline. Talk to our Project Advisors to know more about one-to-one mentorship from an industry expert.
7. Can we download the videos for every project ?
Owing to piracy concerns, videos for these Python and R data science projects are not available for download on a computer. However, ProjectPro's all access annual subscription plan gives you unlimited access to the videos, reusable solution code, dataset, and documentation. You can access them 24x7,365 days with your login credentials.
8. Do you have a demo video on your site?
Here's a short video that will give you an overview of ProjectPro's Big Data and Data Science Project subscription -
However, you can talk to our project advisors anytime and schedule a demo based on your availability. We would be happy to help!
9. Do you provide placements ?
No, the ProjectPro's subscription plan is designed to help you find a top gig as a data professional (data engineer, data analyst, business analyst, data scientist, machine learning engineer). These projects will help you build an awesome job-winning portfolio and maximize your potential and chances of finding your dream job.