This is about learning courses in Coursera. All the answers given written by myself
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Updated
Sep 12, 2020 - HTML
This is about learning courses in Coursera. All the answers given written by myself
The binary build of LEO CDP Free Edition for training purposes
A technical blog about Kusto
A Personal Work Notebook on Gitbook. 1)编程知识点总结;2)大数据场景下的用户数据解决方案实例
Techniques for analyzing and visualizing data at scale.
An exciting Big Data project done during a course I took at the Technion university
Analysis for a streaming daily retail data using Spark structured streaming and querying this data to get insights
Here I demonstrate how to use Python and big data to find new opportunities using customer complaints data.
Capstone Project in the Udacity Data Scientist Nanodegree program. We manipulate large and realistic datasets with Spark to engineer relevant features for predicting churn. We'll learn how to use Spark MLlib to build machine learning models with large datasets, far beyond what could be done with non-distributed technologies like scikit-learn.
Big Data Engineering studying using a dataset that includes all reported crimes from Chicago, IL from 2001 to present day.
Predict the number of retweets that a tweet about a specific museum will have.
Utilização de Joins no Databricks utilizando Spark Context
Covid Detection via CT Scan Image Analysis
Taxi versus Uber in NYC
Big Data and Cloud Computing Mini Project 2 - March 07, 2022
Fraud Detection of a 6 million row dataset using AWS and Spark
•Achieved real-time analysis of over 10,000 Ethereum transactions scraped using Selenium analyzed with PySpark while also reducing the cost to store the massive data in a database by storing only the analytics instead of all the data stored as a container in Docker which can be pulled on any machine as a local image and run the service.
Data Scientist's Portfolio covering the topics: Big Data Analytics, Information Visualization, Advanced Data Mining, Applied Data Analytics, Financial, and Marketing Analytics, Artificial Intelligence, and Deep Learning.
The purpose of this project is to build an on-line movie recommender using Spark and present the system to the board of an imaginary company, Ripe Pumpkins.
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