Learn how you can build Big Data Projects
17th august recording, video not visible
For Sunday 17th August recording, The vidoe is not displayed.Please take a look at it.
Video Not Displayed
Aug 20 2014 06:07 PM
Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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.
Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Real-Time Log Processing in Kafka for Streaming Architecture
The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense.
Solving Multiple Classification use cases Using H2O
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
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.
Missing video in LMS
We are unable to proceed further
Kindly check the Video lecture Dates. Also check for today's lecture Video, when It will be available.
How to acces tutorial videos?
Videos will not play
Recap of Hadoop News for September 2018
Recap of Hadoop News for August 2018
AWS vs Azure-Who is the big winner in the cloud war?
Top 5 Reasons to Learn AWS
Top 50 AWS Interview Questions and Answers for 2018
Recap of Hadoop News for July 2018
You have not activated your email address. We have emailed you an activation code - please enter it below