figo2001 Goto Github PK

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Name: Figo

Type: User

Bio: Passionate about machine learning and AI enthusiast, Eager to contribute and collaborate on.

💫 About Me:

I'm currently a student at the Academy of Technology with a keen interest in machine learning and deep learning. Currently, I'm delving into the realm of reinforcement learning.

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Figo's Projects

bird-species-classification

Develop a web-based CNN-powered bird image prediction application.

complete-wine-data-analysis

Conduct comprehensive Exploratory Data Analysis(EDA) for red and white wines using pandas, matplotlib, and seaborn from scratch.

cricket-world-cup-2023-analysis

Explore the thrilling highs and lows of the Cricket World Cup 2023 through a captivating analysis with Plotly, unraveling the key moments and statistical insights that defined this epic tournament

devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

ds-project

Crafting a data-driven narrative from the ground up: Building a data science blog with HTML, CSS, and JavaScript

face-mask-detection-uisng-cnn

This application gained significant attention, especially during the COVID-19 pandemic, as wearing face masks became a crucial measure to prevent the spread of the virus.

hate-speech-deetction

An hate speech detection built from scratch with NLTK, WordCloud, and word_tokenize.

health-guardian

The ultimate goal is to achieve high accuracy scores in forecasting the mentioned health conditions.

image-classification-by-transfer-learning

intel-image-classification-using-cnn

Utilizing a custom-built convolutional neural network (CNN), achieve superior accuracy in predicting multiclass images encompassing diverse landscapes such as sea, mountains, forests, buildings, glaciers, and streets.

internship-eda

Conducting exploratory data analysis on the Brooklyn99

kaggle-competition-notebooks

Welcome to my collection of Kaggle competition notebooks! Within this repository, you'll discover my solutions and explorations for a range of Kaggle competitions.

mnist_fashion

Implementing a Convolutional Neural Network (CNN) from scratch to classify images in the MNIST Fashion dataset, achieving high accuracy in fashion item recognition.

model-deployment-using-postman-api

Deploy a machine learning model for classification and regression by integrating a Django or Flask API, utilizing POST for training with full notebooks and model.pkl files, and GET for predictions, easily tested through Postman.

pipeline-project

Build a predictive accident analysis app by loading historical accident data, preprocessing with Scikit-learn's Pipeline, training a model, and deploying using Streamlit for real-time predictions.

pizza-sales-sql

From crust to database, I'll craft a delicious project tracking pizza sales using MySQL, one slice of data at a time.

plant-disease-detection

pneumonia-detection-using-cnn

Pneumonia Detection with CNN: Implementing a Convolutional Neural Network (CNN) from scratch for accurate and efficient pneumonia detection in medical chest X-ray images.