PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
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.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
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.