Hourly electricity price and demand forecasting
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Updated
Oct 23, 2022 - HTML
Hourly electricity price and demand forecasting
From Scratch Implemented Machine Learning Classifiers Algorithms for AI in Medical Fields Coursework (SBE3021)
My R data science 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in Chicago, IL.
This repository holds my completed Octave/Matlab code for the exercises in the Stanford Machine Learning course, offered on the Coursera platform.
THIS IS FOR PRACTICE PURPOSES ONLY. Project for a coding course.
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.
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
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
Sentiment Analysis using Supervised ML Algorithm of user tweets.
Finding Donors for CharityML using supervised learners.
This repository contains a Machine Learning project, implemented in python, named 'Crop Recommendation System using Extreme Learning Machine'.
Evaluating performance of supervised learning algori¡ithms in datasets with different structure
Applying NLP models and traditional machine learning models for Automatic Ticket assignment
A group project conducted in Jan 2022 by the Speed racers group. The project is the use of supervised learning to predict whether a client will file an insurance claim based of a set of features techniques for predicting
TELCO Machine Learning Classification Project
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