Machine Learning 101: Ten Projects For Beginners To Get Started

Ambika Choudhury
  • Check out 10 best machine learning projects that can help high-schoolers kick start their ML journey.


Machine learning is an up and coming field with wider applications in various sectors including health, finance, retail, among others. If you are a beginner and want to pursue a career in emerging technologies like machine learning and deep learning, it’s critical to have a first-hand experience of the concepts.

Here is a curated list of 10 best machine learning projects that can help beginners kick start their ML journey.

1| Sentiment Analysis of Product Reviews

About: Sentiment analysis is an application in text mining and computational linguistics research to tease out the underlying sentiment in source texts. The in-depth analysis will help uncover market trends and consumer opinions, and offer insights for the overall improvement of products.

Know more here.



Dataset Available:

  • Amazon Product Review: This dataset is collected from customer reviews of Amazon products. Get the data here
  • Twitter US Airline Sentiment: Twitter data scraped from February of 2015 about each of the major US airlines. Get the data here.

2| Stock Prices Prediction

About: Predicting stock prices is a challenging task as it depends on various factors including but not limited to geopolitics, global economy, company’s financial reports and performance, etc. There are two main approaches to predicting the stock price: Technical analysis method uses metrics like closing and opening price, the volume traded, adjacent close values etc. of the stock for prediction, whereas qualitative analysis looks at external factors like company profile, market situation, political and economic factors, textual information in news, social media and even blogs by the economic analyst.

Know more here.

Dataset Available:

  • Huge Stock Market Dataset: The dataset is a collection of the daily prices and volumes of all US stocks and ETFs. Get the dataset here
  • Daily News for Stock Market Prediction: The dataset is a collection of historical news headlines from Reddit WorldNews Channel and stock data. Get the data here.

3| Sales Forecasting

About: The objective of sales forecasting is to estimate the future demand for products or services. Some standard variables used in sales forecasting are past sales data, website visits, economic trends, etc. 

Download our Mobile App



Know more here.

Dataset Available:

  • Walmart Store Sales Forecasting: It is a collection of historical sales data for 45 Walmart stores located in different regions. Get the data here.
  • Retail Sales Forecasting: This dataset contains a lot of historical sales data extracted from a Brazilian top retailer. Get the data here.

4| Movie Ticket Pricing Prediction

About: Machine learning techniques can be used to create personalised services, such as dynamic pricing, which can be used for movie ticket booking. 

Know more here.

Dataset Available:

  • TMDB Box Office Prediction: In this dataset, you are provided with 7,398 movies and a variety of metadata obtained from The Movie Database (TMDB). Get the data here.
  • Cinema Tickets: It includes historical data of sale and movies details e.g. cost, cast and crews, and other project details like schedule. Get the data here.

5| Music Recommendation

About: Music recommender system can suggest songs to users based on their listening pattern.

Know more here.

Dataset Available:

  • WSDM – KKBox’s Music Recommendation: KKBOX provides a training data set consisting information of the first observable listening event for each unique user-song pair within a specific time duration. Get the data here.
  • Last.FM: This dataset contains social networking, tagging, and music artist listening information from a set of 2k users from Last.fm online music system. Get the data here.

6| Handwritten Digit Classification

About: The handwritten digit recognition can identify handwritten digits. 

Know more here.

Dataset Available:

  • Digit Recognizer: The data files, train.csv and test.csv, contain grey-scale images of hand-drawn digits, from zero through nine. Get the data here.
  • MNIST Database: The MNIST database of handwritten digits has a training set of 60,000 examples and a test set of 10,000 examples. Get the data here.

7| Fake News Detection

About: In this project, one can use a machine learning ensemble approach for automated classification of news articles. 

Know more here.

See Also
What Is Google’s AI Adoption Framework

Dataset Available:

  • Fake News: It includes training and a dataset with a unique id for a news article, author of the news article, among others. Get the data here.
  • Fake News Inference Dataset: This database is provided for the Fake News Detection task. Get the data here

8| Sports Prediction

About: Sports prediction is usually treated as a classification problem, with one class (win, lose, or draw) to be predicted. In sports prediction, large numbers of factors including the historical performance of the teams, results of matches, and data on players, have to be accounted for to help different stakeholders understand the odds of winning or losing. 

Know more here.

Dataset Available:

  • ATP World Tour tennis data: This dataset contains tennis data from the ATP World Tour website. Get the data here.
  • FIFA 19 Dataset: FIFA 19 complete player dataset is a collection of detailed attributes for every player registered in the latest edition of FIFA 19 database. Get the data here.

9| Object Detection

About: One of the fundamental computer vision problems, object detection provides valuable information for semantic understanding of images and videos, and has many applications in image classification, human behaviour analysis, among others.

Know more here.

Dataset Available:

  • COCO: COCO is large-scale object detection, segmentation, and captioning dataset. Get the data here.
  • Oxford Pets Dataset: It is a collection of images and annotations labelling various breeds of dogs and cats. Get the data here

10| Disease Prediction

About: Traditional disease risk model uses machine learning and supervised learning algorithm on training data (with labels) for improving the models. 

Know more here.

Dataset Available:

  • Heart Disease Dataset: This database contains 76 biomarkers of heart disease. Get the data here.
  • Mental Disorders: This dataset is a collection of mental disorders, impairments associated with these disorders, and their treatment patterns from representative samples of majority and minority adult populations in the US. Get the data here.
What Do You Think?

Subscribe to our Newsletter

Get the latest updates and relevant offers by sharing your email.
Join Our Telegram Group. Be part of an engaging online community. Join Here.

Copyright Analytics India Magazine Pvt Ltd

Scroll To Top