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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.