Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
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.