In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this deep learning project, you will learn how to build your custom OCR (optical character recognition) from scratch by using Google Tesseract and YOLO to read the text from any images.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.