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Python is a versatile programming language that has gained popularity in the recent few years. With a vast library of modules and frameworks in Python, it is well-suited for a wide range of applications ranging from artificial intelligence and machine learning to data analysis and web development. In this article we will learn ten captivating Python projects to enhance your machine-learning and artificial intelligence skills in 2024:
Loan Prediction with Machine Learning
In this project, we find out whether a loan can be approved or not. Several collections of data from past loan applicants are used to decide the loan status. A machine-learning model can be built to estimate the probability of the status of the loan approval.
This Python project uses ML and AI to predict the future stock market price based on the previous year's data on the stock market. The idea of predicting stock market prices is to gain significant profits.
The spread of Fake news is a significant problem of this era. Build a machine-learning model to distinguish fake news from the real one.
This is one of the best projects for a beginner who wants to enhance your AI and ML skills. The sinking of the Titanic is one of the most historical incidents in the world. This project deals with the Titanic dataset to predict the passengers that have survived the Titanic shipwreck based on data such as their age, gender, class, etc.
This project involves creating a machine-learning algorithm to recognize the digits. It uses a dataset containing thousands of images of which some are handwritten digits as well. This project helps in improving computer vision skills.
This project involves recognizing the gender of the people by voice using Python in Machine Learning. ML models are used in real-time recognition.
In this project, we solve the problem of detecting credit card fraud transactions using machine numpy, scikit learn, and a few other Python libraries. The problem can be resolved by creating a binary classifier and experimenting with various machine-learning techniques to see which fits better.
Customer segmentation is a method of dividing the customers based on their behavior and preferences such as purchase history, age, gender, interest, etc. With the help of this project, companies can provide personalized offers and run user-specific campaigns.
Social media platforms like Twitter, Facebook, and YouTube generate huge amount of big data that helps to understand trends, public sentiments, and opinions. A sentiment analyzer learns about the sentiments related to social media content using ML and AI. Twitter data is considered the best way for beginners to practice sentiment analysis and machine learning problems.
From enhancing machine learning skills and AI, these top ten Python projects showcase its adaptability across various domains. Embark your coding journey with these projects and stay tuned for the ever-evolving world of Python.
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