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 in Python- Build a machine learning algorithm that automatically suggests the right product prices.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
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.
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.