10 Interesting Machine Learning Projects for ML Enthusiasts

10 Interesting Machine Learning Projects for ML Enthusiasts

Artificial Intelligence (AI) today has avalanche of projects and products in the market with machine learning and deep learning being the most important asset. To be able to convert your ideas into practical implementation, you must have a hands-on experience with variety of projects across the domains in this field. Thus, we bring to you 10 such interesting projects which will help you explore all the domains and polish your skills in implementing algorithms while building the models.

It’s time now to let you interact with those projects and hope that your communication goes well.

1.Credit Card Fraud

Credit Card Fraud

Dataset: Click Here

Description: This project deals with the understanding of credit card companies to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.Companies that involve a lot of transactions with the use of cards also need to find anomalies in the system.

2. Income Prediction

Income Prediction

Dataset: Click Here

Description: This is a classification project and the dataset involves using personal details such as education level to predict whether an individual will earn more or less than $50,000 per year.The dataset provides 14 input variables that are a mixture of categorical, ordinal, and numerical data types.The annual income of an individual results from various factors and is influenced byhis/her education level, age, gender, occupation, and etc. KNN can be an important machine learning algorithm for the given dataset in this project.

3.Cricket Score Predictor

Cricket Score Predictor

Dataset: Click Here

Description: With immense craze of cricket in India and abroad, this project definitely has to be eye-catching. This project is about predicting scores of an inning in a cricket match on a particular venue depending on the past records of cricket matches. There are 3 csv files for IPL, ODI and T20 matches played in the past.

4. Thyroid Detection

Thyroid Detection

Dataset: Click Here

Description: This is a classification project in the medical domain. This is an important project as it would be able to detect whether a person is thyroid positive or negative. The given dataset is for detection of thyroid diseases, in which patients diagnosed with hypothyroid or subnormal are anomalies against normal patients. It contains 2800 training data instance and 972 test instances, with 29 or so attributes which are either Boolean or continuously-valued.

5. Stock Price Prediction

Stock Price Prediction

Dataset: Click Here

Description: There are many datasets available for stock market price prediction. This machine learning project aims to predict the future price of the stock market based on the previous year’s data.

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6. Fake News Detection

Fake News Detection

Dataset: Click Here

Description: This project may prove to be quite helpful in day-to-day life as fake news these days spread like wildfire and this is a big issue in this era. Learning how to distinguish fake news from a real one would definitely be of great help and you can use supervised learning to implement a model like this.

7. Music Genre Classification

Music Genre Classification

Dataset: Click Here

Description: The basic idea behind this project is to develop a machine learning model which automatically classifies different musical genres from audio. The dataset required for this project must have audio tracks with similar size and similar frequency range. The audio files should be classified depending on their low-level features of frequency and time domain. GTZAN dataset is the most recommended dataset for this project.

8. Bitcoin Price Predictor

Bitcoin Price Predictor​

Dataset: Click Here

Description: This is a very useful project as the Blockchain technology is increasing and there are many digital currencies rising. This project will help you predict the price of bitcoin using the previous data.

9. Sentiment Analysis

Sentiment Analysis

Dataset: Click Here

Description: To analyze emotions of the user, we use sentiment analysis. The emotions can be classified as positive, negative or neutral. This is a great project to start with sentiment analysis as it is being widely used nowadays. It is also an important project in the industry as every company wants to understand the sentiment of their customers if they are happy and satisfied or not. The movie review dataset we are choosing here will be a great example to work on and classify the sentiments.

10. Speech Emotion Recognition

Speech Emotion Recognition

Dataset: Click Here

Description: This is one of the best machine learning projects. This recognition system uses audio data. It takes a part of speech as input and then determines the emotions of the speaker.You can identify different emotions like happy, sad, angry,surprised, shocked etc. This project can help in identifying customer emotions during the call with the call centre. Librosa, a python library, can be used for analyzing audio and music.

Woahhh! Amazing, you did it! You have explored it all! I hope that you had good time conversing with these projects and they taught you a lot. They might have also encouraged and motivated you to go for more and convert your own ideas into some models with your astonishing skills. So, it’s time for you to go and work on your ideas. You are ready to implement anything and everything you want. Good luck ! Happy Learning😊

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