Best Machine Learning Projects for Beginners- You Need to Know in 2024

You have learned machine learning but didn’t work on any project. Then it’s time to embark on a project. In machine learning, only theoretical understanding is not enough. You should have some advanced machine learning projects in your portfolio. That’s why I am gonna share some Best Machine Learning Projects for Beginners.

These projects will definitely boost your resume and make you different from others. So I would recommend you to pick any project among these and start experimenting.

Now without further ado, let’s have a look at Best Machine Learning Projects for Beginners.

Best Machine Learning Projects for Beginners

1. Recommendation System

As a beginner in machine learning, you can start your first project as a Recommendation system. Where you have to build a system that will recommend the products based on user history. Something like Amazon or Netflix.

You can build Music recommendation system, movie recommendation system, etc.

For the recommender system datasets, you can refer to the UCSD portal. In this portal, you will find some rich datasets that were used in lab research projects at UCSD.

This portal has various datasets available for recommender systems from popular websites like Goodreads book reviews, Amazon product reviews, bartending data, etc.

Portal Link- Recommender Systems Datasets

And you can also check this complete project on Movie Recommendation System in R.

2. Fake News Detection

There are lots of fake news spreading all over the world. So how can we differentiate between true news and false news?… The answer is with the help of Machine Learning. In this project, you have to build a model by using the Python programming language, which can identify whether the news is true or fake.

In order to implement this project, you need to build a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into “Real” and “Fake”. 

You can check the tutorial of this project in Datacamp and in DataFlair.

3. Improve Health Care

The Healthcare industry is widely using machine learning. So you can work on a project that is related to health care such as disease prediction, Diagnostic care, etc.

With the help of machine learning, we can reduce doctors’ workload and improve the overall efficiency of the health care system.

You can check this tutorial for building machine learning model for disease prediction.

For health care datasets, you can check following portals-

• Large Health Data Sets 
• data.gov/health 

4. Stock Price Predictor

This is another Best machine learning project for beginners. Various companies and businesses are looking for software that can monitor and analyze the company’s performance and predict future prices of various stocks.

As a beginner, you can develop a machine learning project that predicts the stock price for the upcoming months.

You can check this tutorial for Stock Price Prediction in Python. In this tutorial, you will learn how to predict stock price using the LSTM neural network. And how to build a dashboard using Plotly dash for stock analysis.

5. Handwritten Digit Recognition using Python

To explore and test your deep learning skills, I think this is the best project to consider. In this project, you will build a recognition system that recognizes human handwritten digits.

You can check this tutorial for Handwritten Digit Recognition using Python.

This tutorial uses the MNIST dataset and a special type of deep neural network that is Convolutional Neural Networks.

6. Build a Sentiment Analyzer

Sentiment Analysis is one of the interesting projects in machine learning. You can use social media posts and tweets to analyze the sentiment.

Social media has lots of user-generated content that you can use for your project. You can check this tutorial for the Sentiment Analysis Project in R.

In this project, you have to categorize words based on their sentiments such as positive and negative.

You can also check this project Twitter Sentiment Analysis, where you have to train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets.

7. Color Detection with Python

This is a beginner level project, where you have to build an interactive app. This app will identify the selected color from any image. There are 16 million colors based on the different RGB color values, but we only know a few colors.

So to implement this project, you need to have a labeled dataset of all the colors that we know, and then you need to calculate which color resembles the most with the selected color value.

In order to implement this project, you should be familiar with Computer Vision Python libraries- OpenCV and Pandas.

You can check all the details regarding this project here.

8. Iris Flowers Classification Project

This is another basic project for machine learning beginners where you have to categorize different species of iris flowers based on the length of petals and sepals.

You can check the Iris Data Set here.

So these are some Best Machine Learning Projects for Beginners. .Now it’s time to wrap up.

Conclusion

I hope you have found the most suitable project in this article for you. For more project ideas, you can check Kaggle, DataCamp, Coursera, DataFlair, etc.

If you have any questions, feel free to ask me in the comment section. I am here to help you. And If you found this article helpful, share it with others to help them too.

All the Best!

Happy Learning!

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Though of the Day…

‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

– Henry Ford