Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
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 NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
Use the Adult Income dataset to predict whether income exceeds 50K yr based on
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.