Predict the activity category of a human.

Competición Kaggle: analizar clientes fugados y activos y entrenar un sistema que sea capaz de predecir si un cliente se ha fugado.

Advanced Machine Learning

Heart disease detection using Machine Learning

Forecasting stock prices of S&P500 using RandomForest and LSTM (Pytorch)

Code templates for data prep and different ML algorithms in Python.

Explore and predict the used car price by building the machine learning model based on the existing data. Then examining the model between the actual price and the predicted price.

Predict survival on the Titanic

Machine and Deep Learning Projects and basics

Datamining concepts

Digit recognizer with our own dataset

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

An Oil Detection App built with RandomForestClassifier, Heroku, plotly, and Flask

Note : This Repository consists files of the Project -Detecting fraud for transactions in a payment gateway - Ind Avenue which was held as a Mid Term Hackathon Competition a part of my PGP Data Science Program @ Insofe.

Some of my Machine Learning (SVM, Decision Trees, Random Forest, K Nearest Neighbors, Deep learning aka Neural Network, XGBoost) projects

We built a music genre classification model using Random Forest and SVM. Accuracy: Random Forest ~54%, SVM ~56%.

This is a ML prediction model which predict personalized items for a particular customer