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.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
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 data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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 predict borrowers chance of defaulting on credit loans by building a credit score prediction model.