this project aims to be an easy and reusable way to use supervised machine learning techniques
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Updated
Nov 3, 2018 - Java
this project aims to be an easy and reusable way to use supervised machine learning techniques
Hourly electricity price and demand forecasting
A website which predicts the suitable crop and fertilizer based on the soil parameters
Worked on Decision Trees, Random Forest,Gradient Boost Machines, XGBoost, lighgbm on Bank, boston, stat_oil, iris datasets
This is an experiment on text classification using different supervised learning classifiers and their variants conducted on the Reuters-21578 dataset. The aim is to evaluate the best performance for each of the classifiers by properly tuning the parameters of each classifier so that the least error is recorded during the classification.
Using supervised learning classification model, the credit risk was analyzed for loan program in a financial institution.
In this assignment, I will be building a machine learning model that attempts to predict whether a loan from LendingClub will become high risk or not.
Building from scratch simple KNN Classifier without using frameworks built-in functions and applying it on the Pen Digits Dataset.
From Scratch Implemented Machine Learning Classifiers Algorithms for AI in Medical Fields Coursework (SBE3021)
It consists of basic concepts of Machine-Learning with its algorithms.
My R data science 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in Chicago, IL.
This is the framework for supervised algorithms in mechine learning
THIS IS FOR PRACTICE PURPOSES ONLY. Project for a coding course.
Modified Cutting angle method based on 'Cutting angle method - a tool for constrained global optimization'
Diabetes Prediction model Input=(Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age)
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
Fuzzy Parameterized Fuzzy Soft 𝑘-Nearest Neighbor Classifier
In this dealing with the "Health-care Domain". Data is about the Cardio Vascular Disease[CVD], where predicting whether the patient has CVD by using the features of data.
Apply Supervised Learning Algorithms using Python to predict breast cancer, diabetes, etc.. diseases.
Analysis and Prediction of survival in Titanic disaster using machine learning
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