In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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.
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.
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
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.
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.