Learn how you can build Big Data Projects
What is a Best Bid and Best Offer?
Explain about the best bid and best offer
Sep 25 2015 09:15 PM
Bitcoin Data Mining on AWS Free Tier
Bitcoin Mining on AWS - Learn how to use AWS Cloud for building a data pipeline and analysing bitcoin data.
Avocado Machine Learning Project Python for Price Prediction
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.
Real-Time Streaming of Twitter Sentiments AWS EC2 NiFi
Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.
German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Build a Face Recognition System in Python using FaceNet
In this deep learning project, you will build your own face recognition system in Python using OpenCV and FaceNet by extracting features from an image of a person's face.
AWS Project-Website Monitoring using AWS Lambda and Aurora
In this AWS Project, you will learn the best practices for website monitoring using AWS services like Lambda, Aurora MySQL, Amazon Dynamo DB and Kinesis.
Build a Music Recommendation Algorithm using KKBox's Dataset
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.
Design a Hadoop Architecture
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
Finding Unique URL's using Hadoop Hive
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
House Price Prediction Project using Machine Learning
Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.
WHAT IS AN ORDER?
What is passive order?
What is difference between market order and limit order ?
Does the bid-ask spread become negative, under market losses ?
what is revocation of order?
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