HuertaRogelio

HuertaRogelio's Stars

• Wittline/MachineLearning

  The repository contains basic experiments using machine learning algorithms with python

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• Wittline/Contextual-Data-Transforms

  This repository contain the most important contextual data transformation algorithms which help to improve the rate compression reached by statistical encoders. Ramses Alexander Coraspe Valdez

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• Wittline/Huffman-decoding

  A New Approach for Efficient Sequential Decoding of Static Huffman Codes

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• Wittline/Computer-Vision-and-Deep-Learning

  This repository contains information on the basic techniques and algorithms used in computer image processing, in addition to some projects related to pattern recognition using deep learning.

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• Wittline/SparkSQL-with-Python

  This repository has some examples of using Spark and SparkSQL with Python through PySpark

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• Wittline/Data-Analytics-with-R

  Repository for data analytics course using R

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• Wittline/dataengineering-assignment

  Prescreening Tasks for Data Engineer

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• Wittline/Moving-Average-Spark

  How to Compute Moving Average with Spark

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• Wittline/tf-idf

  Term Frequency-Inverse Document Frequency from Scratch

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• Wittline/data-engineering-challenge-th

  Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)

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• Wittline/burrows-wheeler-transform

  Implementation of the algorithm "Burrows Wheeler Transform" in python for data compression

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• Wittline/pyspark-on-aws-emr

  The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.

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• Wittline/data-engineer-challenge

  Challenge Data Engineer

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• Wittline/text-analysis-speeches-amlo

  Text analysis of the speeches, conferences and interviews of the current president of Mexico

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• Wittline/recommendation-system

  Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

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• Wittline/distance-metrics

  Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points

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• Wittline/docker-livy

  Dockerizing and Consuming an Apache Livy environment

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• Wittline/csv-shuffler

  A tool to automatically Shuffle lines in .csv files

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• Wittline/csv-estimate-rows

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• Wittline/csv-splitter

  csv-splitter

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• Wittline/csv-columnar

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• Wittline/model-catalog-grpc

  A gRPC service to consume any machine learning model stored in a model catalog through a single endpoint.

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• Wittline/pyDag

  Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag

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• Wittline/wbz

  A parallel implementation of the bzip2 data compressor in python, this data compression pipeline is using algorithms like Burrows–Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. For now, this tool only will be focused on compressing .csv files, and other files on tabular format.

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• Wittline/livyc

  Apache Spark as a Service with Apache Livy Client

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• Wittline/Dropout-Students-Prediction

  The goal of this project is to identify students at risk of dropping out the school

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• Wittline/csv-schema-inference

  A tool to automatically infer columns data types in .csv files

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• Wittline/uber-expenses-tracking

  The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.

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