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what are some nice machine learning projects to work in python

Auto learning is an upwards and coming field with wider applications in various sectors including wellness, finance, retail, among others. If you lot are a beginner and want to pursue a career in emerging technologies like machine learning and deep learning, information technology's disquisitional to accept a first-hand experience of the concepts.

Here is a curated list of x best machine learning projects that can assistance beginners kick kickoff their ML journey.

i| Sentiment Assay of Product Reviews

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

Know more hither.

Dataset Available:

  • Amazon Product Review: This dataset is collected from customer reviews of Amazon products. Get the data hither.
  • Twitter United states of america Airline Sentiment: Twitter information scraped from Feb of 2015 most each of the major U.s. airlines. Get the data here.

2| Stock Prices Prediction

Nearly: Predicting stock prices is a challenging task as it depends on various factors including just not express to geopolitics, global economy, visitor's financial reports and performance, etc. At that place are two main approaches to predicting the stock price: Technical assay method uses metrics similar closing and opening toll, the book traded, adjacent close values etc. of the stock for prediction, whereas qualitative analysis looks at external factors like visitor profile, market situation, political and economic factors, textual information in news, social media and even blogs by the economical analyst.

Know more here.

Dataset Available:

  • Huge Stock Market Dataset: The dataset is a drove of the daily prices and volumes of all US stocks and ETFs. Get the dataset hither.
  • 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 hither.

three| 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.

Know more here.

Dataset Available:

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

4| Movie Ticket Pricing Prediction

About: Motorcar learning techniques tin can be used to create personalised services, such as dynamic pricing, which tin 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). Go the data hither.
  • Movie theatre Tickets: Information technology includes historical data of sale and movies details e.g. cost, cast and crews, and other project details similar schedule. Get the information here.

5| Music Recommendation

Virtually: 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 information set consisting information of the first observable listening event for each unique user-vocal pair inside 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 hither.

6| Handwritten Digit Classification

Nearly: 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-calibration images of manus-drawn digits, from zero through 9. Get the information 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 hither.

seven| Fake News Detection

About: In this project, i can apply a machine learning ensemble approach for automated nomenclature of news articles.

Know more here.

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. Go the information here.
  • Fake News Inference Dataset: This database is provided for the Fake News Detection task. Get the data hither.

eight| Sports Prediction

About: Sports prediction is ordinarily treated as a classification trouble, with one class (win, lose, or draw) to be predicted. In sports prediction, large numbers of factors including the historical functioning of the teams, results of matches, and data on players, have to be deemed for to aid dissimilar 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 xix complete player dataset is a drove of detailed attributes for every role player registered in the latest edition of FIFA 19 database. Get the data here.

nine| Object Detection

About: One of the cardinal computer vision problems, object detection provides valuable data for semantic agreement of images and videos, and has many applications in image nomenclature, human behaviour analysis, amidst others.

Know more hither.

Dataset Available:

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

10| Disease Prediction

About: Traditional disease take a chance model uses auto learning and supervised learning algorithm on training data (with labels) for improving the models.

Know more hither.

Dataset Available:

  • Heart Illness Dataset: This database contains 76 biomarkers of center 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 United states of america. Get the data here.

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Ambika Choudhury

A Technical Journalist who loves writing nearly Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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Source: https://analyticsindiamag.com/machine-learning-101-ten-projects-for-high-school-students-to-get-started/

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