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Malegiraldo22/README.md

💫 About Me:

Hi! I'm Alejandro Giraldo a Data Scientist and Environmental engineer. Since 2020 I started to study Data Science. Here you can find info about my tech stack and some of the projects I've worked on so far. If you want more info about me you can look at my linkedin or my digital CV

Hola! Soy Alejandro Giraldo, Data Scientist e Ingeniero Ambiental. Desde el 2020 inicié a estudiar Data Science. Aquí podrás encontrar ingormación sobre el stack tecnológico que uso y algunos de los proyectos en los que he trabajado hasta el momento. Si quieres saber más sobre mi puedes ver mi linkedin o mi CV digital

🌐 Socials:

LinkedIn Digital CV

💻 Tech Stack:

Java Python Anaconda Spring MongoDB Postgres MySQL Adobe Illustrator NumPy Pandas Plotly scikit-learn Jira

🔥 My Stats :

GitHub Streak

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  1. Fake-News-Classifier-Naive-Bayes Fake-News-Classifier-Naive-Bayes Public

    In this project i used the Naive Bayes algorithm to classify fake news. I got a 93% accuracy, but found that if i increased the amount of training data, the accuracy would decrease

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  2. Album-Review-Ratings Album-Review-Ratings Public

    In this project I used a compilation of Album Reviews Ratings made by Kauvin Lucas at Kaggle to do an Exploratory Data Analysis and answer some questions about the data.

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  3. spam-filter-Naive-Bayes spam-filter-Naive-Bayes Public

    I used the Naive Bayes algorithm to build a Spam Filter classification using a SMS dataset compiled by Tiago A. Almeida and José María Gómez Hidalgo. The algorithm had an accuracy of 98,74%

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  4. finding-best-market-advertise finding-best-market-advertise Public

    I thins project i uses data from the freeCodeCamp New Coders Survey from 2017 to find the best markets in wich the website should focus to get more users

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  5. Respirable Respirable Public

    In our project we evaluated and plotted the concentration of selected pollutants (converted to the Air Quality Index (AQI)) in several cities. Followed by analysing the impact of Covid19 measures o…

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  6. Customer-Sentiment-analysis-for-an-e-commerce-retailer Customer-Sentiment-analysis-for-an-e-commerce-retailer Public

    In this project I used VADER to do a sentiment analysis of an e-commerce retailer. I found that, in general, the store has 48% of positive comments. However, two departments have mostly negative co…

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