Forecasting Business KPI's with Tensorflow and Python

In this machine learning project, you will use the video clip of an IPL match played between CSK and RCB to forecast key performance indicators like the number of appearances of a brand logo, the frames, and the shortest and longest area percentage in the video.

Inventory Demand Forecasting using Machine Learning in R

In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Data Science Project - Instacart Market Basket Analysis

Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

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.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms

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.

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.

Resume parsing with Machine learning - NLP with Python OCR and Spacy

In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Tough engineering choices with large datasets in Hive Part - 2

This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.

Design a Hadoop Architecture

Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.

Build a big data pipeline with AWS Quicksight, Druid, and Hive

Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.