Machine Learning Projects (ML) are an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning or ML focuses on the development of computer programs that can access data and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
We present the list of some Top Machine Learning projects for beginners that cover the core aspects of machine learning such as supervised learning, unsupervised learning, deep learning and neural networks. Contact us today for more details or ideas.
1) Brain Tumor Detection
Brief : Brain tumor is a terminal disease diagnosed by analyzing the MRI of a brain. Given a data set of images of MRI, create a model to analyze images of brain MRI. A deep neural network will be able to analyze various brain MRI images and tell whether there’s a tumor or not.
2) Poetry Generation – Using Markov Chains
Brief : Generating the poetry by the use of Markov chains. The poetry must be generated by giving a keyword. Writing a program to generate poems when the input is a given topic.For generating the poems, we use the concept of Markov chains.
Markov chain is stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.
3) Restaurant Review System – Using NLP
Brief : Our system classifies someone’s comment on some restaurant and graded according to it. it’s a NLP project where the sentence can say about results that is positive or negative. And also recommend you a better restaurant.
4) Optical Character Recognition using Machine Learning
Brief : To address the process of letter recognition task from 20 different fonts and set of 20,000 unique letter images generated randomly by distorting pixel images of the 26 uppercase letters from 20 different commercial fonts. These parent fonts represent a full range of character types including script, italic, serif, and Gothic.
5) Credit Card Fraud Detection
Brief : Have you ever purchased anything using anyone else’s credit card with out their consent ? It is important that credit card companies should able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
6) Real & Fake News Classifier
Brief : This project involves a content classifier, which classifies the real and fake news. The classification is based on the supervised learning method, where k means clustering algorithm is used. This classifier will remove the fake news as soon as it detects, thus avoiding the onlooker of the news getting mislead. The trained model predict the fake news as 1 and real news as 0. Thus making the identification of the news category easy. One of the best Machine Learning Projects which we have done.
7) House Pricing Prediction System
Brief : A deep learning project where we are predicting price of a house using a neural network of 5 layers where different 80 features like area, parking, kitchens, rooms, garden etc are given. API used : tensoflow
It has been explained beautifully in this video.
8) Face Recognition & Verification System
Brief : A deep learning project made up of convolutional neural network (one shot learning) which can detect human faces and verify it’s a valid person or not.
Application :- Automatic Attendance System in school.