In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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 resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.