In this project, we are going to work on Deep Learning using H2O to predict Census income.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
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 project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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 machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
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.