4geeks_matplotlib

4geeks_numpy

4geeks_pandas

4geeks_preworkds

airbnb-eda-project

EDA including for the New York Airbnb data from Kaggle. Step-by-step process and conclusions of each step including the results on the relationships between the variables.

boosting-algorithms

Applying boosting techniques such as GradientBoostingClassifier, GradientBoostingRegressor (eXtreme Gradient Boosting (XGBClassifier and XGBRegressor functions). This repo contains class examples and the project.

calculus-and-algebra-with-python

calculus_algebra

california-housing-prices

This is the dataset used in the second chapter of Aurélien Géron's recent book 'Hands-On Machine learning with Scikit-Learn and TensorFlow'. It serves as an excellent introduction to implementing machine learning algorithms

connecting-to-a-sql-database-project-tutorial

Create a SQL database locally using the psql command and understand and get used to the most basic profesional python project structure with PIP and .env file

dataset-exercises

Dataset analysis exercises using data from different sources such as Data is Plural, Kaggle...

dd-machine-learning-python-template

Very simple template to work on machine learning projects with Python

decision-tree-project

Using a Decision Tree algorithm we have to predict based on diagnostic measures whether or not a patient has diabetes. The dataset originally comes from the National Institute of Diabetes and Digestive and Kidney Diseases.

deep-learning-projects

We embark on a journey through various deep learning projects, delving into diverse models, techniques, methods, and frameworks. From convolutional neural networks (CNNs) to recurrent neural networks (RNNs), from TensorFlow to PyTorch, we uncover the intricacies of cutting-edge AI technologies.

dga-detection-final

dga-detection-project1

Step-by-step guide on how to detect domains that were generated using "Domain Generation Algorithm" (DGA). This is based on Sidi Trainings (November 18th, 2020) presented by GTK Cyber.

dga-detection-project2

Improving DGA classification models

doriandraper

README profile

dsml_classes

This repository contains the exercises and projects completed during the 16 weeks of the Data Science and Machine Learning bootcamp at 4Geeks Academy.

html-hello

The most basic boilerplate template to start an HTML/CSS website in just 30 seconds. Compatible with Gitpod.

instagram-post

Module 1 first project

interacting-with-api-python-project-tutorial

kmeans-project

Exploring Unsupervised ML models. For this project we'll classify houses according to their region and median income from the well-known California Housing dataset.

knn-movie-recommender

Building a KNN model. The dataset for this project collects part of the knowledge from the API TMDB, which contains only 5000 movies out of the total number. Model the data using a KNN, analyze the results and optimize the model.

knn-project

Building a KNN model. The dataset for this project is the diabetes prediction used in previous projects.

lab-agile-planning

This repository contains the lab for agile planning

linear-regression-project

Linear Regression project for predicting the cost of health insurance for a person

logistic-regression-project

Logistic Regression project for Banking Marketing Campaign.

machine-learning-content

Data Science and Machine Learning - 16 weeks

machine-learning-from-scratch

Implementation of popular ML algorithms from scratch