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.
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.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.