Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
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.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
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.