Top 15 Machine Learning Projects in Python with source code

Top 15 Machine Learning Projects in Python with source code

Machine Learning is probably one of the most interesting and hyped branches of computer science. Today, we are here to help you by presenting the Top 15 Machine Learning Projects in Python with source code. We have presented these Machine Learning projects in such a way that difficulty increases as we move to the next project starting from the first Project which will be especially for beginners.

Talking about Machine Learning, it’s a subdomain of Artificial Intelligence where humans train the model to learn, analyze and make decisions. The Machine Learning model improves its efficiency over time by learning from its experience. We will see the Top 15 Machine Learning Projects in Python with their description, and links to their source code and tutorial. Let’s start.

About Top 15 Machine Learning Projects in Python with source code:

NameTop 15 Machine Learning Projects in Python with source code
AbstractWe have presented the best ml projects with links to their source codes and tutorials. We have explained how you can create these projects from scratch.
Technology UsedML, Python, Python Libraries like NumPy, Pandas, sklearn, OpenCV, etc
IDEJupyter Notebook, Google Colab(Recommended)
TypeMachine Learning Projects
Recommended forBeginners, Intermediates, and Advanced Python Programmers

Top 15 Machine Learning Projects in Python with source code are:

  1. Loan Prediction
  2. Titanic Survival Prediction
  3. Fake News Detection
  4. Stock Price Prediction
  5. Digit Recognition
  6. Gender Recognition
  7. Hate Speech Detection
  8. Credit Card Fraud Detection
  9. Customer Segmentation
  10. Chatbot using Python
  11. Social Media Sentiment Analysis
  12. Movie Recommendation System
  13. Image Recognition
  14. Language Detection
  15. Speech Emotion Recognition

Now, we will understand all projects in detail, let’s start.

1. Loan Prediction ML Project

Project Description: In this project, we need to find out whether the loan will be approved or not. It is based on the user’s marital status, education, number of dependents, and employment. Several collections of data from past loan applicants use different features to decide the loan status. A machine learning model can look at the data, and give a probability estimate of whether this loan will be approved.

Recommended for: Beginner
Tech Stack: Python, Numpy, Pandas, Seaborn, Scikit learn
Link to source code: Loan Prediction using Machine Learning

2. Titanic Survival Prediction Machine Learning Project

Project Description: This is best for you if you are just getting started with Machine Learning projects. This project deals with the Titanic dataset which is one of the most famous incidents everyone is aware of. In this project, we have to predict which passengers survived the Titanic shipwreck based on data such as their age, gender, class, etc. For example, there is a high probability that someone from the first class survived as compared to someone from the third class.

Recommended for: Beginners
Tech Stack: Python
Link to source code: Titanic Survival Prediction using Machine Learning

3. Fake News Detection Project in ML

Project Description: Fake news spreads like a wildfire and this is a big issue in this era. Such news items may contain false or exaggerated claims and may be virialized by algorithms, and users may end up in a filter bubble. We can build a project to distinguish fake news from the real one.

Recommended for: Beginners
Tech Stack: Python, Numpy, Pandas, scikit learn
Link to source code: Fake News Detection Project using Machine Learning

4. Stock Price Prediction using Python

Project Description: Stock Price Prediction using a machine learning project aims to predict the future price of the stock market based on the previous year’s data. The entire idea of predicting stock prices is to gain significant profits. 

Recommended for: Beginner
Tech Stack: Python, Scikit learn, Keras, Numpy, Pandas
Link to source code: Stock Price Prediction using Machine Learning

5. Digit Recognition using Python and ML

Project Description: This is an ML project that will help to improve your computer vision skills. You need to create a Machine Learning algorithm to recognize the digits. We use a dataset containing thousands of images of which some are handwritten digits as well.

Recommended for: Beginner
Tech Stack: Python, Computer vision, numpy, tensorflow, keras, pillow


Link to source code: Digit Recognition using Machine Learning

6. Gender Recognition in Machine Learning

Project Description: In this project, we recognize gender by Voice using Python in Machine Learning. This is an era of technology and everyone is using technology nowadays as it’s making our lives so much easier. ML models are used in various sectors and also in real-time recognition as well. One of them is gender recognition using the Voice of a person, which we will create today. 

Recommended for: Intermediate
Tech Stack: Python, librosa, scikit learn, pydub
Link to source code: Gender Recognition using Machine Learning

7. Hate Speech Detection Machine Learning Project

Project Description: Hate speech detection is the model which identifies and detects the hateful and offensive speech being poured on the internet. Social media is a place for many people to make hateful and offensive comments about others. So hate speech detection has become an important solution to problems in today’s online world.

Recommended for: Intermediate
Tech Stack: Python, NLTK, Pandas, NumPy
Link to source code: Hate Speech Detection with Machine Learning

8. Credit Card Fraud Detection Python Project

Project Description: In this machine learning project, we solve the problem of detecting credit card fraud transactions using machine numpy, scikit learn, and a few other python libraries. We overcome the problem by creating a binary classifier and experimenting with various machine learning techniques to see which fits better.

Recommended for: Intermediate
Tech Stack: Python, numpy, pandas, scikit learn
Link to source code: Credit Card Fraud Detection

9. Customer Segmentation using Machine Learning

Project Description: Customer segmentation is a technique in which we divide the customers based on their purchase history, gender, age, interest, etc. It is useful to get this information so that the store can get help in personalizing marketing and providing customers with relevant deals. With the help of this project, companies can run user-specific campaigns and provide user-specific offers rather than broadcasting the same offer to all users.

Recommended for: Intermediate
Tech Stack: Python
Link to source code: Customer Segmentation using Machine Learning

10. Chatbot using Python

Project Description: Chatbots in Python have become widely popular in the tech and business sectors. A chatbot is an AI-based software designed to interact with humans in their natural languages. These chatbots usually converse via auditory or textual methods, and they can effortlessly mimic human languages to communicate with human beings in a human-like manner.

Recommended for: Intermediate
Tech Stack: Python, Natural Language Processing
Link to source code: Chatbot using Python

11. Social Media Sentiment Analysis using Python and Machine Learning

Project Description: Social media platforms like Twitter, Facebook, YouTube, and Reddit generate huge amounts of big data that can be mined in various ways to understand trends, public sentiments, and opinions. Social media data today has become relevant for branding, marketing, and business as a whole. A sentiment analyzer learns about various sentiments behind a “content piece” through machine learning and predicts the same using AI. Twitter data is considered a definitive entry point for beginners to practice sentiment analysis machine learning problems. 

Recommended for: Advanced
Tech Stack: Python, numpy, pandas, nltk
Link to source code: Social Media Sentiment Analysis

12. Movie Recommendation System

Project Description: Recommendation systems are everywhere, be it an online purchasing app, movie streaming app, or music streaming. They all recommend products based on their targeted customers. A movie recommendation system is an excellent project to enhance your portfolio.

Recommended for: Advanced
Tech Stack: Python, numpy, surprise
Link to source code: Movie Recommendation System using Machine Learning

13. Image Recognition

Project Description: In this project, the images from the dataset are fed into a neural network algorithm. The training of an image recognition algorithm makes it possible for convolutional neural network image recognition to identify specific classes.

Recommended for: Advanced
Tech Stack: Python, Computer vision
Link to source code: Image Recognition with Machine Learning

14. Language Detection with Machine Learning

Project Description: Language detection is a natural language processing task where we need to identify the language of a text or document. Using machine learning for language identification was a difficult task a few years ago because there was not a lot of data on languages, but with the availability of data with ease, several powerful machine-learning models are already available for language identification.

Recommended for: Advanced
Tech Stack: Python, pandas, scikit learn
Link to source code: Language Detection with Machine Learning

15. Speech Emotion Recognition Machine Learning Project

Project Description: Speech emotion recognition, the best ever Machine Learning project. The best example of it can be seen at call centers. If you ever noticed, call center employees never talk in the same manner, their way of pitching/talking to the customers changes customers.

Recommended for: Advanced
Tech Stack: Python, librosa
Link to source code: Speech Emotion Recognition Machine Learning Project

Conclusion

No matter which Machine Learning project you selected from the above projects, just try your best to make it as good as possible. We have really tried hard to present you the best Machine Learning projects for beginners to advanced so that my readers like you can save their precious time and don’t waste their time searching on the Internet.


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Author: Keerthana Buvaneshwaran