In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
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 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.
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.