In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
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.