Python notebooks written while learning some libs
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Updated
Nov 12, 2020 - Jupyter Notebook
Python notebooks written while learning some libs
Online plagiarism checker scrapes the markdown text from submitted notebook link, searches the text on Google for possible matching notebook links on Jovian, Kaggle & Github sites, and returns the notebook links that contain the text.
Personal TG bot with some functions (weather, reminder, notebook, ai request)
Just learning data scrapping technique using beautiful soup and requests of python. Done in Jupyter Notebook.
This notebook utilizes Python to seamlessly scrape key details like names, critic scores, release years, and rankings. Simply execute the notebook cells to compile your findings into a handy CSV file, Top_100_Netflix_Shows_data.csv.
This notebook analyses the word frequency in the novel Moby Dick. It illustrates a general-purpose NLP pre-processing pipeline.
Modelos de machine learning. you can see different notebook where i worked with machine learning model, data exploring data cleaning.
Jupyter notebook where I try to visualize a house in Flanders (Belgium) in 3D. Part of a training program at BeCode.org.
Using Jupyter Notebook, Pandas Library, CityPy, Python, APIs and JSON Traversals, to get more than 500 random latitudes and longitudes and analyze weather data
Web scraping application presenting various websites' data related to the Mission to Mars in a single HTML page. Scraping with Jupyter Notebook, BeautifulSoup, Pandas, Requests/Splinter.
Web scraping application presenting various websites' data related to the Mission to Mars in a single HTML page. Includes Jupyter Notebook scraping, MacOS and Windows Splinter options.
In this project the climate was thoroughly analyzed in order to find patterns.This is divided into two: WeatherPy and VacationPy. Each chart of each project have the conclusions in the jupyter notebooks.
Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.
Jupyter Notebook that scrapes NBA player salary data from espn.com, injects that data into an existing dataset (one owned by TrueHoop CEO and CoFounder Henry Abbott), and exports the resulting augmented dataset to a .csv file.
Built a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page. Skills Needed: Python, Jupyter Notebook, BeautifulSoup, Pandas and Requests/Splinter, HTML, CSS, Bootstrap
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