What are some really interesting machine learning projects for beginners?
There are some projects we worked during our machine learning course.
A structured workflow for model building is followed and you will be able to practice:
• Importing data
• Cleaning data
• Splitting it into train/test or cross-validation sets
• Feature engineering
Machine Learning Projects for beginners:
Loan Prediction using Machine Learning: build a model to predict how much a user is going to take loan and classify them according it.
Dataset link: https://www.kaggle.com/altruistdelhite04/loan-prediction-problem-dataset
Housing Prices Prediction Project: Predict house prices of areas. https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
Titanic Survival Project: predict the survival of people in titanic ship i.e. they will survive or not.
Dataset link: https://www.kaggle.com/c/titanic
Wine Quality Test Project: Here we predict the quality of wine
Dataset link: https://archive.ics.uci.edu/ml/datasets/wine+quality
There are machine learning hands- on project provided by CloudXLab with their Machine learning and Machine learning specialization course
Churn the mail activity from various individuals in an open source project development team.
Predict the median housing prices in California
We start Machine Learning course with this end-to-end project. Learn various data manipulation, visualization and cleaning techniques using various libraries of Python like Pandas, Scikit-Learn and Matplotlib.
Classify handwritten digits in MNIST dataset
The MNIST dataset is considered as “Hello World!” of Machine Learning. Write your first classification logic. Starting with Binary Classification learn Multiclass, Multilabel, Multi-output classification and different error analysis techniques.
Noise removal from the images
Build a model that takes a noisy image as an input and outputs the clean image.
Predict bikes rental demand
Build a model to predict the bikes demand given the past data.
Build a spam classifier
Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache Spam Assassin’s public datasets and then train a model to classify email.
Build cats classifier using neural network
In this project, you will build a basic neural network to classify if a given image is of cat or not.
You can also refer to CloudXLab Blog ( https://cloudxlab.com/blog/) for more Machine learning real like usage. Such as: How to build a Number Plate Reader, How to run object detection on CCTV etc.