Solved end-to-end Machine Learning Projects in Python

Machine Learning Projects in Python

Get ready to use Machine Learning Projects in Python for solving real-world business problems

explanation image


Each project comes with 2-5 hours of micro-videos explaining the solution.

ipython image

Code & Dataset

Get access to 102+ solved projects with iPython notebooks and datasets.

project experience

Project Experience

Add project experience to your Linkedin/Github profiles.

Machine Learning Projects in Python


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 pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.

In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.

Use the Mercari Dataset with dynamic pricing to build a price recommendation algorithm using machine learning in Python to automatically suggest the right product prices.

In this deep learning project, you will build a convolutional neural network using MNIST dataset for handwritten digit recognition.

In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

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 Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.

In this data science project, we will look at few examples where we can apply various time series forecasting techniques.

In this project, we will automate the loan eligibility process (real-time) based on customer details while filling the online application form.

In this data science project, we will predict internal failures of Bosch using thousands of measurements and tests made for each component along the assembly line.

In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.

In this machine learning project, you will build a model to predict the purchase amount of customer against various products which will help the company create personalized offer for customers against different products.

In this data science project, we will predict the number of inquiries a new listing receives based on the listing's creation date and other features.

In this project, we will build a model to predict the purchase amount of customers against various products which will help a retail company to create personalized offer for customers against different products.

In this machine learning project, we will implement Back-propagation Algorithm from scratch for classification problems.

In this project, we are going to predict how capable each applicant is repaying a loan.

In this project, we are going to predict different qualities of wine using different ML models.

Learn Machine Learning with Python Machine Learning Projects

Machine learning is among the most in-demand and exciting careers today. With increasing demand  for machine learning professionals and lack of skills, it is crucial to have the right exposure, relevant skills and academic background to make the most out of these rewarding opportunities. ProjectPro’s Machine Learning Projects help candidates make this transition to highly rewarding careers in Data Science and Machine Learning.

Exhausted by applying for machine learning jobs and not being shortlisted ? One of the key benefits of working on ProjectPro’s machine learning project ideas is that you learn skills as you build and apply new concepts in every project.

Why you should work on ProjectPro’s Python Machine Learning Projects ?

  • All machine learning projects are full-scale application development projects where you get to work with datasets that run in hundreds of MB’s to GB’s.
  • Working on these machine learning projects will help beginners strengthen their machine learning portfolio as they can integrate them into their resume. The more real-world ML projects you do, the higher are the chances of being shortlisted for a machine learning interview.
  • You will learn machine learning by doing and these machine learning interesting projects will make you industry-ready as you will develop the acumen to solve real-life business problems on machine learning.
  • Diversity of ProjectPro’s machine learning projects across various domains like retail, finance, marketing, supply chain instils confidence in you to answer any kind of question thrown at you during the interview.

Who should work on ProjectPro’s Machine Learning Projects in Python ?

  • These machine learning projects are for students who are keen to learn the practical implementation of machine learning algorithms in the Python programming language.
  • Data engineers, Data Scientists and Machine Learning enthusiasts who want to expand their knowledge base by working on datasets from diverse business domains.
  • Machine learning beginners who know the basics of ML but want to explore it in depth.

Key Learning’s from ProjectPro’s Machine Learning Projects

You will not regret working on any of these machine learning project suggestions. See what you'll learn -

  • Develop robust machine learning models in Python that make accurate predictions in Python.
  • Explore python’s spectacular machine learning ecosystem.
  • Learn which machine learning model to choose for a given business problem by working on multiple projects.
  • Understand the advantages of deploying machine learning algorithms in Python.

What will you get when you enrol for ProjectPro’s Machine Learning Projects in Python ?

  • Machine Learning Project Source Code in Python  -Examine and implement end-to-end real-world interesting machine learning project ideas from Marketing, Supply Chain, eCommerce, Retail, Healthcare, Finance, and Entertainment domains using Python programming project source code.
  • Recorded Demo – Watch a video explanation on how to execute python machine learning project examples.
  • Mentor Support – Get your technical questions answered with mentorship from experienced machine learning practitioners for a minimal fee.
  • Complete ML Project Solution Kit – Get access to the dataset, solution, and supporting reference material, if any , for every Python machine learning project.

Machine Learning Projects for Beginners with source code in Python

If you are a beginner in Data Science, then you can choose from the following list of machine learning projects with source code in Python. These basic machine learning projects for beginners in Python have been designed by ProjectPro experts to motivate their interest further.

  • Learn to prepare data for your Machine Learning Project: In most machine learning python projects, you will have to find ways to extract features from the given dataset. This project will teach you how to deal with data in text format and its implementation for understanding evaluation metrics used in NLP.