Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
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.
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 machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on