Top 40 Machine Learning Projects for Beginners and Professionals
The machine learning projects for beginners and professionals we will be looking at in this article worth your time and skill. The ones to be discussed here are not only exciting but also innovative as well.
Machine learning has become so important in our world today that it has made our electronic devices smart. The use of Machine learning is to transform less sophisticated machines into mind-blowing ones. These projects appear tricky, but they are fascinating to build.
Whether you are a professional or a beginner, there are available resources on the internet; you can make fair use of getting started with machine learning projects.
1. Movie Recommendations with Movielens Dataset
You can use your machine learning skill to take on a recommendation project for movies and streaming videos. Machine learning beginners can quickly and easily explore this project.
This particular project depends on the history and preferences of the viewers
You can design this project with Python or R language
You can easily create this project with Java programming language
Tensorflow is simply an open-source artificial intelligence library
It is used to create data flow graphs
3. Sales Forecasting with Walmart
This project can be created for businessmen and women that would love to predict their future sales.
This machine learning project is mainly used for creating reasonable data-driven decisions in channel optimization and inventory planning
4. Stock Price Prediction
If you are going to take on a project of this magnitude, whether as a beginner or a professional, you will have to depend on past price datasets, volatility indices, and fundamental indicators.
It is very much alike to sales forecasting
Search for the stock market dataset from Quantopian or Quandl and download it before you can get started with it
Stock price prediction allows you to make predictions based on massive datasets
5. Human Activity Recognition with Smartphones
You can simply take advantage of machine learning by using your smartphones to develop projects that are sensitive to the activities we carry out these days. It is used to detect any activity like running, walking or cycling, etc.
You can use it to develop classification models that will effectively predict future activities
6. Wine Quality Prediction Project
Wine quality data set is an excellent machine learning project that put into consideration essential factors like age, price, etc. for predicting wines’ quality.
You can simply use this project to know more about data visualization, data exploration, regression models, and R programming
7. Prediction of Beast Cancer
A breast tumor can be said to be mild or injurious by putting together factors like the thickness of the lump, bare nuclei numbers, and mitosis.
It is nice for practicing R programming
8. Iris Classification
You can simply take on the Iris Flowers dataset to increase your knowledge and familiarize yourself with machine learning.
Anyone trying to learn this project must know basics numeric values and data
9. The sorting of some certain tweets on Twitter
This project allows you to develop an algorithm that uses scraped tweets that have been operating via a natural language processor. So that you can able to deduce the likely ones to match specific themes, talk about particular individuals, etc.
It is aimed at quickly filtering tweets that include some certain words and information
10. Converting Handwritten documents to Digitalized Ones
It can also teach you how to find your way around logistic regression and MNIST datasets.
It is used to transform pixel data into images
11. Predicting Loans Using Machine Learning
This machine learning project is all about creating a model that will assist in categorizing the limit at which users can go about collecting loans.
It depends on the marital status, education, employment, and number of dependents of users
12. Housing Price Prediction Project
This particular housing price prediction project is filled with a dataset of Boston residential regions’ prices. Some essential factors are put into consideration when determining the prices of houses in those areas.
It is an excellent tool for forecasting prices on the basis of new data
In order to detect whether the recent transaction from a user involves fraudulent acts or not, you can use transactions and their labels as fraud or non-fraud
19. Barbies with Brain Project
The idea behind the creation of this project is to make the barbie toy to understand and talk fluently.
This project will enhance the learning process of kids
20. The use of Machine Learning to Segment Customers
The segmentation of customers has to do with the grouping of customers based on one or two factors. This piece of idea is needed for personalizing marketing and providing customers with important deals.
This grouping of customers can depend on factors like age, interest, gender, purchase history, etc.
21. The Use of Machine Learning for Sentiment Analysis
This project identifies the emotions of users as either positive, negative, or neutral by simply using sentiment analysis.
It is a very popular and useful project among us today
22. Environ Investigation Project
Although the Environ company stop functioning as early as the year 2000 but their data can be used to perform an investigation.
You can use it to perform data analytics
Science oriented individuals are familiar with this project’s dataset
23. Project involving the Recognition of Speech Emotion
This project can easily reveal the emotional feeling of a speaker. It can be told if a speaker is in a good or bad mood, sad, angry, etc.
You can get free real-time data from the global fishing watch if you are interested in this project
25. The Use of Collaborative Filtering to Recommend Grocery Online
This project is aimed at creating a grocery recommendation system that would help customers suggest the items they might need in the basket.
It performs collaborative filtering
26. Google Creative Lab’s Teachable Machine
Teachable machine is simply known as a trial that helps in distracting people from knowing how machine learning works.
It gives you the opportunity to teach machines that make use of your camera
It functions well with deeplearn.js
You can use this project to begin your machine learning adventure
27. Rock-Paper-Scissors Machine
Kaz Sato and his young child created thismachine learning project. It works by identifying the hand motion of users through the use of sensors attached to a glove and a machine learning calculation powered by Tensorflow.
A machine learning project for beginners
28. Font Map
This project is created by Kevin Ho. It is aimed at using machine learning to bring about new relationships between fonts.
Kevin Ho didn’t do this on his own, he worked with a set of people like Tobias Toft, Jochen Maria Weber, and planning group at IDEO
This project depends on Tensorflow and D3.js
29. VISUALIZING HIGH-DIMENSIONAL SPACE
This project is all about using machine learning to picture high-dimensional information. It is created by Daniel Smilkov, Fernanda Viégas, Martin Wattenberg, and the Big Picture group at Google.
Go search for this project on the internet, it is free to all
30. NSYNTH: Sound Maker
This project is aimed at using machine learning to make sounds. It is created by Maroon and Imaginative Lab groups at Google.
It depends on Nsynth
31. The Infinite Drum Machine
This project for beginners make is all about using machine learning to organize a large percentage of ordinary sounds.
It is conducted by Kyle McDonald, Manny Tan, Yotam Mann, and companions at Google Imaginative Lab
32. Bird Sounds
It is a common fact that the sounds from a bird is necessarily not stable. This project is all about using machine learning to organize a large number of birds sounds.
It is created by Kyle McDonald, Manny Tan, Yotam Mann, and companions at Google Inventive Lab
33. What Neutral Networks See
This machine learning project gives you the access to adjust your camera in investigating what neural nets see, live through the use of your camera.
Gene Kogen designs this project
34. Giorgio Cam
You can easily use this machine learningproject to create music with a personal computer by just snapping pictures.
It is created by Rosenbaum, Yotam Mann, and companions at Google Innovative Lab
This project depends on MaryTTS, Tone.js, and Google Cloud Vision Programming interface
35. Artificial Intelligence Duet
This machine learning project is aimed at playing a two-part harmony with the PC. The PC becomes sensitive to a user’s song when they play a few notes.
It is created by Yotam Mann with colleagues on the Magenta and Innovative Lab groups at Google
This project is based on Tensorflow, Tone.js, and open-source devices from the Magenta undertaking
AutoDraw can simply be called a drawing instruction. This project adds together machine learning knowledge with that of gifted artists’ instructions to quickly make anything visual for people.
It is a beginner project created by Google Creative Lab
37. A Machine Learning Gladiator
You can simply use this machine learning project to enhance your knowledge about the workflow of model building. This project will teach you how to clean and import data.
Either of python or R language will be needed to handle this project
You must be familiar with regression, classification, and clustering algorithms before taking on this piece of work
Scikit-learn is an open-source artificial intelligence project that doesn’t require too much to create. You can effectively and adequately use to build artificial intelligence projects.
It is very useful for data mining and data analysis
This project is free to all to use
You can simply effectively use Theano for defining, optimizing, and evaluating mathematical expressions and multi-dimensional arrays.
Theano is an open-source machine learning project
You can also use it to carry out academic research purposes
Keras is one of the best open-source machine learning projects you can lay your hands-on as a beginner. It works well for both convolution networks and recurrent networks.
It functions well with Python language
We have provided you with some of the best machine learning ideas that are common in our today. They are set of projects beginners and professionals can lay their hands-on to improve their skills and take their career to another level. Try them out.. If you are a software engineer, they are lovely to work on.
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