Expert System in Detecting Coffee Plant Disease ☕

Decision trees, random forrests, maybe a jungle

Nowadays, sports events live above all from their media coverage, which includes cheering up winners and writing down losers. Statitstics are used to underpin the own argumentation in this reports. But is there any cherry picking here? Are only those statistics used that make the report/commentary look completely logical? In order to give an ini…

✔️Repositório do curso de Machine Learning no Iesb

With Spark, you can associate column names and scores with which feature are important in Decision Tree training results

Dataset is from Washington DC's bike Rental program. This project is to predict bike rentals by hour.

A predictive machine learning model to guess housing prices using decision tree regression with %90+ accuracy

Applied different ML algorithms like Linear Regression, Decision tree and Random forest using Scikit-learn library.

Implementation of Decision Tree using two heuristics for Assignment 01 of the course CS6375: Machine Learning.

Machine Learning Algorithms uses LATEX for Documentation

Titanic Survior Prediction in ML Using Decision Tree (Entropy)

DecisionTree and RandomForest for Regression from Kaggle micro-courses

A Tic Tac Toe game that uses a Decision Tree Module to study older moves and decise the next move

Building a decision tree for the choice of dinner using entropy

Model and fit several classification models using Scikit-Learn.

SPSS to build decision tree, KNN and classification models

JOB-A-THON_2020| hosted by Analytics Vidhya

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