Data Scientist and Data Analyst with strong background in Economics, Mathematics, Statistics. I'm interested in how can we apply Natural Language Processing and Machine Learning methods to solve business problems with creative solutions.
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/nosql.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/advance.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/database.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/scrap.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/regression.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/class.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/cluster.png)
![](https://github.com/Pevicsanch/Pevicsanch/raw/main/icon/kibana.png)
Name: pevic sanch
Type: User
Bio: Data scientist & python enthusiast, a self-learner. Background in economics and economic analysis.
Log transformation with Regular Expressions: logging records analisys
Performance a Pipelines, grid search and text mining. Let's start with several basic exercises.
This repository contains everything you need to become proficient in Data Engineering
Course Files for Complete Python 3 Bootcamp Course on Udemy
let's create a connecition map chart using python
basic exercises in python to learn how to use: Conditionals & Loops, if / elif / else and Functions.
crystalbox import: data analisis
Curs Python Juny-Jul 2021
IT Academy - Data Science Itinerary: Data structure
Data_Exploration: basic exercises to become familiar with Python's pandas library
Creating a database with MySQL and conecting with python
Data scientist: learning path
Learn how to manage parameters with Python. Become familiar and work correctly with the variables, correlation, covariance and Feature scaling
A robot powered training repository :robot:
Graphic Visualization of a Data set: become familiar with Python's Matplotlib & Searborn library with some beginner's exercices
Introduction to data visualitazion with Seaborn: create the most common types of plots
Let's learn, practice and become familiar with data hypothesis testing methods with python
Notes from the course intermediate importing data in python
bunch of different commands that are useful to know when working with Linux
Notes from the course Introduction to Regression with statsmodels in Python
S01_T01: Data Science Itinerary - IT Academy
Kibana: Interactive Visualization with ElasticSearch Stack
Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
basic of Matrix Structure, become familiar with Python's numpy library and matplotlib library
software engineering practices (Udacity Nanodegree Project)
NoSQL database: create a MongoDB database Interconnect it with Python.
numerical programming: becoming familiar with NumPy library
Parsear Mensajes EDI
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.