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.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
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- 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.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
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.