Daniel Palacio palaciodaniel

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🌠 HIGHLIGHTS
📚 MACHINE LEARNING
🗂 DATA MANIPULATION
📊 DATA VISUALIZATION
🖥 PROGRAMMING
🧰 OTHER PROJECTS

Programming Languages and Libraries Used

_{Python (numpy, Data Cleaning -pandas-, Data Visualization -matplotlib, seaborn, plotly, WordCloud, GeoPandas, scikit-image, Missingno, jgraph-, Machine Learning -scikit-learn-, Dataset Creation (CSV) -Faker-, Unit Testing -pytest, TravisCI, codecov-, Natural Language Processing -nltk, fuzzy wuzzy-, API Requesting -requests-, Web Scraping -scrapy-), Jupyter Notebook (SQL Querying -ipython sql-), Bash, Rust, Julia, Go, Google Sheets, HTML, CSS, Markdown.}

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Project & Libraries

Description

[Property Prices in Buenos Aires]
- English - Español -

_{- Jupyter Notebook

- Python (matplotlib, pandas, scikit-learn, seaborn)}

• Working with a dataset about properties in Buenos Aires, across five different Jupyter Notebooks.

• The steps include merging of datasets, EDA (Exploratory Data Analysis), data cleaning and visualizations in order to answer questions by the client who requested the analysis.

• The project also includes creating and training a Machine Learning model (Linear Regression) to predict property prices.

[Predicting Psychotherapy Success with Machine Learning]

_{- Jupyter Notebook

- Python (Faker, matplotlib, pandas, scikit-learn)}

[ Steps: 1, 2, 3, 4 ]

• A supervised Machine Learning model involving binary classification (success or failure) for different patients and their respective psychotherapies. It also includes an application of Grid Search.

• The dataset was created from scratch with fictional data, to avoid privacy issues.

• Alternative approaches were included, involving Decision Trees and Ordinal Encoding.

[Killing Infestations with K-Means]

_{- Jupyter Notebook

- Python (matplotlib, numpy, scikit-learn)}

An example of an unsupervised Machine Learning model.

[ Predicting Earnings on the Steam Market (after commissions) ]

_{- Jupyter Notebook

- Python (matplotlib, numpy, pandas, scikit-learn)}

Interactive

A supervised Machine Learning model involving regression.

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Project & Libraries

Description

[Global Sales Analysis]
- English - Español -

_{- Jupyter Notebook

- Python (matplotlib, pandas, plotly, seaborn)}

• Complex data analysis (six notebooks!) about the sales of an international supermarket chain.

• Features dataset joins, data cleaning, visualizations and extensive reports of insights gained.

• The provided datasets had two key issues: columns without descriptions and undefined currency or currencies, so risks and limitations due to these inconveniences were also documented.

[Doom Cacowards - SQL in Jupyter Notebook]

_{- Jupyter Notebook

- SQL

- Python (ipython-sql)}

Interactive

• A database that was built from scratch using SQLite and then saved as a CSV file.

• Highly detailed documentation included. Please read it before entering the database.

• The Jupyter Notebook was configured to allow SQL queries. You can write your own ones via the Binder link.

[Data Cleaning - Estudio de Discapacidad 2018]

_{- Jupyter Notebook

- Python (missingno, pandas)}

Limpiando los nombres de columnas y variables de un dataset para una mayor legibilidad de la información.

[My Datacamp's Completed Courses List]

_{- Jupyter Notebook

- Python (Scrapy)}

Creating a Spider to web-crawl my long Datacamp profile with the objective to build an easily-readable list of all the courses I completed.

[Knee-Deep in the Dataset]

_{- Jupyter Notebook

- Python (pandas)}

Altering the indexes from a pandas' DataFrame to improve organization.

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[Day Care Centers Locations on Buenos Aires]

_{- Jupyter Notebook

- Python (descartes, GeoPandas, matplotlib, pandas)}

Showing the coordinates of these places on a map built from scratch.

[Plotly, the Universe and Me]

_{- Jupyter Notebook

- Python (pandas, plotly)}

Interactive

Displaying all the planets from the Solar System and their respective moons.

[ ART 001 - Chess]

_{- Jupyter Notebook

- Python (pandas, seaborn)}

Building figures with seaborn.

[ ART 002 - Any Colour You Like]

_{- Jupyter Notebook

- Python (matplotlib, scikit-image)}

Interactive

Applying colormaps to submitted images.

[ART 003 - Drive my Car with Missingno]

_{- Jupyter Notebook

- Python (matplotlib, missingno, numpy, pandas, scikit-image)}

Interactive

A creative use of the Missingno library to display images.

[ART 004 - Natural Language Processing (NLP) and WordClouds on Horror Books]

_{- Jupyter Notebook

- Python (matplotlib, nltk, wordcloud)

- GIMP (GNU Image Manipulation Program)}

Getting the most common words and visualizing them with figures created by myself.

[ART 005 - Hypercube]

_{- Jupyter Notebook

- Python (jgraph)}

Video

Interactive

Building an interactive four-dimensional cube.

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Project & Libraries

Description

[Lambda SWAPI v. 2.0]

_{- Jupyter Notebook

- Python (fuzzywuzzy, python-Levenshtein, pytest, requests)

- GitHub (TravisCI, codecov)}

Interactive

A program that inspects a famous Star Wars API and determines if two characters, which were chosen by the user, share the same movies.

Video

[You Failed in Life]

_{{ Bash script }}

A game to improve the speed of your mental calculations.

Video

[Channard's Psychosis Inventory]

_{-Jupyter Notebook

- Python (matplotlib, numpy, seaborn)}

Interactive

A multiple-choice system built on Jupyter Notebook that allows users to complete a fictional psychological test. At the end, it outputs not only their choices but also generates visualizations.

Video

[Calculating Expiration Dates with OOP]

_{- Jupyter Notebook

- Python (datetime)}

Using Object Oriented Programming (OOP), along with a Python library for dates, to calculate the expiration date of different products. These products can also be opened, thus affecting the expiration date accordingly. Examples were added to test different situations.

[Typing Speed Test]

_{- Jupyter Notebook

- Python (Faker, fuzzywuzzy, python-Levenshtein)}

Interactive

A program that will output a random text to copy. Once you finish, you will be informed about your typing speed and how precise your writing was.

Video

[Fahrencelsius]

_{{ Rust }}

A temperature converter that was written after reading until the section 3.1 of The Book, Rust's official documentation. Although there are more than a dozen chapters left, the small program is already robust and does not break even when dealing with intentionally wrong inputs.

Defusing Bombs in the Dark with

_{(and Jupyter Notebook)}

Interactive

A program that was written as a challenge: to create a functional piece of code using a language for which I never attended a single course or lesson before, so I was forced to learn everything about it on the go.

Video

[Discount Calculator]

_{- Jupyter Notebook

- Python (pytest)

- GitHub (TravisCI, codecov)}

Interactive

A small but robust function that was written while learning Unit Testing.

Video

Horse Race with

Interactive

A small piece of code to showcase two key aspects of Go: concurrency and goroutines. Both are clearly applied in a simple but easy-to-imagine situation: a horse race, where every goroutine is represented by a horseman.

[Popping Balloons!]

_{{ Python }}

Interactive

A simple guessing game, which was my first project ever. It was released on April 2019 after applying the contents from a lesson.

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[My GitHub's Profile Page] This page you are seeing now, actually.
[YouTube's Intro Videos] The code used to create the intro animations on my YouTube channel's videos.
[Steam Summer Sale 2020 - Sold Trading Cards] _{{ Google Sheets }} A spreadsheet to keep Steam earnings in check.

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