Top 10 Machine Learning Projects for Beginners
Top 10 Machine Learning Projects for Beginners
Hands-on learning can help beginners’ master machine learning in addition to theoretical knowledge. Here is a list of top 10 machine learning projects for students that will help them to get a deeper insight into machine learning:
1.MNIST handwritten digit classification: This is a good machine learning project students to start with, as MNIST (Modified National Institute of Standards and Technology Database) is an easy and manageable dataset requiring minimum data cleaning and preparation. This project combines image recognition technique with a machine learning algorithms to correctly predict the handwritten digits.
2.Predicting stock market prices: This machine learning project idea is for students with an inclination towards finance as it involves analyzing the performance of a company and predicting its stock market prices. This process involves several dynamic factors like prices, economic indicators, volatility indices, etc., which makes predicting highly difficult. Though it is a simple project, it does provide a deeper insight into machine learning algorithms.
3.Board game review predictions: This project comprises predicting a review of different board games based on the available dataset and their related review score. This project provides hands-on experience on how to sort the data and look for a pattern in the dataset using a machine learning algorithm. The purpose of the project is to precisely forecast the ratings of the game.
4.Big Mart sales prediction: This project involves data prediction based on the sales data collected for certain products across different outlets in different cities. This predictive model helps data scientists identify different attributes of products and the stores that contributed tothe rise in sales.
5.Sports predictor: Machine learning has aided in predicting the results of the game or providing constructive inputs in improving the games. This project has been built on this line of predictive analysis where students can use a machine learning algorithm to forecast the result of the game based on the dataset collected every year from different sources.
6.Investigate Eron: This is a machine learning project in python that can be taken up to investigate ERON’s fraudulent business practices. With the tons of dataset available to work with, the objective machine learning practitioners are to develop a machine learning model that can identify and predict the cases of fraud.
7.Develop sentiments analyser: Social media is a platform that can be effectively used to study user sentiments and uncover emotional trends which be used to optimize consumer experience. Sentiments analyzer can be used to identify and categorize emotions into the positive and negative sentiments by using tools like natural language processing, social network analysis, and text analysis.
8.Build a recommender system: Another interesting machine learning project in python to be taken up by beginners is building a recommender system with application of movie lens dataset. It is done following the pattern in the dataset with an intention to provide relevant information to the user.
9.Healthcare enhancer: This is an online machine learning project that is based on the predictive model developed using deep machine learning algorithms. It takes past data, and draws a relationship between the various contributing attributes and predicts results based on that. Through this project, students can successfully learn to develop a timely and accurate predictive risk model.
10.Loan default prediction: Machine learning algorithms are successfully utilized to predict customer’s behaviour usingfinancial database. Data is collected is analyzed considering several trigger factors using the process involving variable selection, model selection, model evaluation, and model tuning.
These are few exciting machine learning project suggestions for future data scientists and engineers to gain hands-on learning and deeper insight into machine learning and helps them begin their journey towards a rewarding career.