Loan Eligibility Prediction in Python using H2O.ai

In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.

Machine Learning Project to Forecast Rossmann Store Sales

In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.

Slow Changing Dimensions for Warehouse

One of the broadest uses of Snowflake is building a data warehouse platform or enhancing the existing data lake. It offers all sorts of services to build an efficient Data warehouse with ETL capability and support for various external data partners. Slowly Changing dimensions are a common database modeling technique used to capture data in a table and show how it changes over time. The slowly changing dimension of the warehouse dimension is said to rarely change. However, when they change, there should be a systematic approach to capturing that change. Examples of SCDs are customer and products information. This project explains how to build a Slowly Changing Dimension (SCD) using Snowflake’s Stream functionality and how to automate the process using Snowflake’s Task functionality.

Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks

In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

Abstractive Text Summarization using Transformers-BART Model

Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

Data Science Project in Python on BigMart Sales Prediction

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.

Automatic event-based ingestion GCP

Automatic event-based ingestion GCP

PySpark Tutorial - Learn to use Apache Spark with Python

PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

Event Data Analysis using AWS ELK Stack

This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. Tools used include Nifi, PySpark, Elasticsearch, Logstash and Kibana for visualisation.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case

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.