Ralmao

Marketing_clustering

Project Master Class Marketing Clustering AI with a neural networks

Search_Embeddings

NLP search embeddings are a way of representing text data in a way that makes it easier for computers to understand and compare. They are created by training a neural network on a large corpus of text data. The neural network learns to represent each word or phrase as a vector of numbers, where similar words or phrases have similar vectors.

Emotion-AI

Model The model is a ResNet 18, which is a convolutional neural network (CNN) that has been shown to be effective for image classification tasks. The model is trained on a dataset of facial images with corresponding emotion labels.

XGBoostCL

XGBoost (eXtreme Gradient Boosting) is a supervised machine learning algorithm that is used for both classification and regression tasks. It is an ensemble learning algorithm, which means that it combines the predictions of multiple weak learners to produce a more accurate prediction.

Advertising

Using Linear Regression for a sales prediction

binaryCL_Keras

book_KNN

The NearestNeighbors algorithm

Brain_segmentation

Class Brain segmentation AI with a neural networks

breast_cancer

Using LogisticRegression from sklearn.linear_model for breast cancer classification model

breast_cancer_detection

Using Neural Networks for a breast cancer detection

Ralmao/mongodb-intro

Ralmao/Scikit-learn

Ralmao/deployment-ml

Ralmao/final_project

Ralmao/cookiecutter-personal

Ralmao/mi-primer-web

Ralmao/python

python practice

Ralmao/Mlops-platzi

Materials and content for the Platzi´s course of Mlops

Ralmao/tableau2

tableau works

Ralmao/PowerBi

Ralmao/intro-deployment-ml

Ralmao/Emotion

Multiclass tensorflow

Ralmao/MultiClass-Keras

Multiclass classification is a machine learning problem where the goal is to predict one of multiple classes from a set of data. For example, a multiclass classification model could be used to predict the type of flower in an image, or the sentiment of a text review.

Ralmao/RAG_zephyr

Free local chatbot for consulting pdf Gradio

Ralmao/binaryCL_Keras

Ralmao/Emotion-AI

Model The model is a ResNet 18, which is a convolutional neural network (CNN) that has been shown to be effective for image classification tasks. The model is trained on a dataset of facial images with corresponding emotion labels.

Ralmao/regression_keras

Linear regression with Keras

Ralmao/Platzi

Ralmao/Sign-_language_project

Using different types of neural networks to build a sign language image classification project

Ralmao/Brain_segmentation

Class Brain segmentation AI with a neural networks

Ralmao/Marketing_clustering

Project Master Class Marketing Clustering AI with a neural networks

Ralmao/LR_nn

Linear Regression for Predicting Price of second hand Cars Neural Networks

Ralmao/SMS_Text_Classifier

Neural networks

Ralmao/book_KNN

The NearestNeighbors algorithm

Ralmao/XGBoostCL

XGBoost (eXtreme Gradient Boosting) is a supervised machine learning algorithm that is used for both classification and regression tasks. It is an ensemble learning algorithm, which means that it combines the predictions of multiple weak learners to produce a more accurate prediction.

Ralmao/Search_Embeddings

NLP search embeddings are a way of representing text data in a way that makes it easier for computers to understand and compare. They are created by training a neural network on a large corpus of text data. The neural network learns to represent each word or phrase as a vector of numbers, where similar words or phrases have similar vectors.

Ralmao/chihuahua_muffin

Using convolutional neural network (CNN) for classification model chihuahua and muffin

Ralmao/tom_and_jerry

Using convolutional neural network (CNN) for classification model tom and jerry image

Ralmao/dogs_and_cats

Using convolutional neural network (CNN) for classification model dogs and cats

Ralmao/churn

using Random Forest Classifier for a churn dataset