In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
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.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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.
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.
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 project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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.