February, 2021

• 1 February

  Kafka Stream API Json Parse

  

  Kafka Stream API Json Parse Hello, in this article, I will talk about how to process data incoming to Kafka queue with Kafka stream api. We can send data from various …

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November, 2020

• 17 November

  PySpark Makina Öğrenmesi (PySpark ML Classification Decision Tree)

  

  PySpark Makina Öğrenmesi (PySpark ML Classification) Merhaba PySpark yazılarına devam ediyoruz.  Bu yazıda classification algoritmalarından Decision Tree (Karar ağacı) ile örnek yapacağız.  Bu yazıya geçmeden önce bir önceki yazıyı okumalısınız. …

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• 17 November

  PySpark Makina Öğrenmesi (PySpark ML Classification Preapering)

  

    PySpark Makine Öğrenmesi   PySpark Makina Öğrenmesi (PySpark ML Classification) Merhaba, PySpark yazılarına devam ediyoruz.  Bu yazıda pyspark kullanarak ML modeli geliştireceğiz. Bu yazıya geçmeden önce bir önceki yazıyı …

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• 16 November

  PySpark Makine Öğrenmesi

  

  PySpark Makine Öğrenmesi Merhaba, bu yazı serisinde PySpark kullanarak ML uygulamaları gerçekleştireceğiz. PySpark’ı python ile spark işbirliği olarak düşünebiliriz. Python dili ile Spark üzerinde geliştirme yapabilme imkanı tanıyor. Spark kurulumuna …

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October, 2020

• 21 October

  DATA WAREHOUSE – ETL/ELT

  

  What is the ETL / ELT? ETL or ELT is not a software abbreviation. It is the most important and complex stage of the data warehouse. ETL (Extract, Transform, Load) …

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• 20 October

  Advanced RDD Actions

  

  Advanced RDD Actions   reduce() action reduce(func) action is used for aggregating the elements of a regular RDD. The fucntion should be commutative (changing the order of the operands does …

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• 14 October

  PySpark RDD Example

  

  PySpark RDD Example Hello, in this post we will do 2 short examples, we will use reducebykey and sortbykey. Rdd = sc.parallelize([(1,2), (3,4), (3,6), (4,5)]) # Apply reduceByKey() operation on …

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• 13 October

  Introduction to PySpark RDD

  

  Introduction to PySpark RDD In this chapter, we will start with RDDs which are Spark’s core abstraction for working with data.   What is RDD RDD = Resilient Distributed Datasets …

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• 13 October

  Introduction to Big Data analysis with Spark

  

  Hello, we’ll be introducing Spark in this series of articles. Spark can also be developed with many programming languages. We will use python in our series of articles. Introduction to …

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September, 2020

• 25 September

  Analyzing Social Media Data in Python -1

  

  Analyzing Social Media Data in Python Welcome to analyzing social media data with python.  In this tutorial series we’re going to analyze Twitter data using Python. There are millions of …

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• 20 September

  Clustering Wikipedia

  

  Clustering Wikipedia Hi, in this article i’ll make a simple clustering example using wikipedia. You can access full code, here: https://drive.google.com/drive/folders/1FKAqwAvaSmEt0jzL3lHu5qQGEcw4FQGS?usp=sharing # Perform the necessary imports from sklearn.decomposition import TruncatedSVD …

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• 19 September

  Dimension reduction with PCA | Python Unsupervised Learning -6

  

  Dimension reduction with PCA   Dimension reduction represent the same data using less features and is vital for building machine learning pipelines using real-world data. PCA performs dimension reduction by …

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• 18 September

  Introduction of DATA WAREHOUSE-What is DATA WAREHOUSE?

  

  What is the Data Warehouse? A data warehouse is a repository that can be made of questioning and analysis of related data. The data warehouse has been created in order …

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• 18 September

  Dimension reduction | Python Unsupervised Learning -5

  

  Hello, in this article, we continue the topic Unsupervised Learning.    5,914 views last month,  1 views today

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• 13 September

  t-SNE visualization | Python Unsupervised Learning -4

  

  t-SNE visualization of grain dataset I will make a short example about t-SNE in this article. from sklearn.manifold import TSNE import pandas as pd import numpy samples =[[15.26 , 14.84 …

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• 13 September

  Introduction of DATA WAREHOUSE-What is DATA?

  

  What is Data? This word, which has a very high popularity, is actually called data, each letter number or date information entered in the computers we use as technology and …

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• 13 September

  Oracle XE Installation on Hortonworks Data Flow (HDF)

  

  Oracle XE Installation on Hortonworks Data Flow (HDF) Hi, in this artile, i will show you how to install Oracle Express Edition (XE) on HDF (Hortonworks Data Platform). First of …

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• 9 September

  Apache Nifi on Google Cloud

  

  Apache Nifi on Google Cloud Hello, in this article I will explain how to install Apache Nifi on Google Cloud. First, you have to create a Google Cloud account. I …

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• 8 September

  Introduction to gensim (Python)

  

  What is gensim? Popular open-source NLP library Uses top academic models to perform complex tasks Building document or word vectors Performing topic identification and document comparison A word embedding or …

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• 7 September

  Introduction to Natural Language Processing in Python – (Simple text preprocessing)

  

  Why preprocess ? Helps make for better input data When performing machine learning or other statistical methods Examples: Tokenization to create a bag of words Lowercasting words Lemmetization/Stemming Shorten words …

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• 7 September

  Introduction to Natural Language Processing in Python – (Words counts with bag-of-words )

  

  Bag-of-words Bag of words is a very simple and basic method to finding topics in  a text. For bag of words, you need to first create tokens using tokenization, and …

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• 7 September

  Transforming Features For Better Clustering | Python Unsupervised Learning -3

  

  Hi, we continue where we left off on Unsupervised Learning. I recommend that you read our previous article before moving on to this article. Python Unsupervised Learning -2   Transforming …

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• 6 September

  Evaluating a Clustering | Python Unsupervised Learning -2

  

  Hi, In this article, we continue where we left off from the previous topic. If you haven’t read the previous article, you can find it here. Python Unsupervised Learning -1 …

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• 6 September

  k-means clustering | Python Unsupervised Learning -1

  

  k-means clustering | Python Unsupervised Learning -1 In this series of articles, I will explain the topic of Unsupervised Learning and make examples of it. Unsupervised learning is a class …

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August, 2020

• 12 August

  Data Warehouse Architectures

  

  Data Warehouse Architectures I would like to talk about the two most important models of the Data Warehouse architect. These models are Bill Inmon and Kimballs models. I will not …

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