learning-curve

mohadeseh-ghafoori/Coursera-Machine-Learning-Specialization

utkuufuk/coursera-machine-learning

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

farrellwahyudi/Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

vaibhavnaagar/machineLearning-exercises

Machine Learning Exercises from Online Course (Coursera)

kk289/ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.

nickcafferry/Machine-Learning-in-Molecular-Sciences

2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.

spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

deeptechlabs/tuner.algo.extrapol

Tuner Implementation of Extrapolating Learning Curves

sushantdhumak/Predicting-Boston-Housing-Prices

Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home

ttungl/Machine-Learning

Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.

AsajuHuishi/examples_sklearn.learning_curve

Some applications on functions of sklearn.learning_curve

Jamster3000/BlazorWASMGithub

A learning-curve to learn if and how to get a Blazor WASM running on github pages

Jayveersinh-Raj/ML_IU_Study_Material

This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it covers all the topics covered (as of 2022) in that course, and more.

konkyrkos/sentiment-classifier-classic-algorithms

Tweet Sentiment Classifier using Classic Machine Learning Algorithms. This repository provides my solution for the 2nd Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.

kushalchaudhari21/BiasVariance

Implementing regularised linear regression and using it to study models with different bias-variance properties. Insights for applying machine learning.

SajjadAli54/cataract-classification

Cataract classification

sflender/deep-learning-test

Exploring deep learning on Cooley

stephaniaslis/Salary

Previsão do salário (acima ou abaixo de 50K) utilizando decision tree classifier, otimização por random search, cross validation, validation curve, learning curve.

CZheee/Deep-Learning

Deep Learning using apple quality dataset

emrecanduran/Bike-Rental-Regression-Models

This repository contains code for a bike rental prediction models including Random Forest, XGBoost, GradientBoosting, and Lasso Regression.

emrecanduran/Marketing-Campaign-Response-Prediction

Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.

faysal37/titanic_hosted_by_kaggle

A Comprehensive Guide to Titanic Machine Learning from Disaster

georgiy-vasilevskiy/pet_project_cd_covers

Личный проект в области Computer Vision

hongguopeng/Machine-Learning

masaki9/aids_clinical_trials_group_study

SVM Model Optimization: Learning Curves, Validation Curves, and Hyperparameter Tuning

masaki9/ml_experiments_with_wandb

Hyperparameter Tuning and Experiment Tracking with Weights & Biases

schatzederwelt/customer-churn-prediction

Предиктивный анализ оттока клиентов

sehresh92/Data-Mining-Project

Hi, I am Sehresh Mehboob and Welcome to my Data Mining Project on SuperMarket dataset

WojciechSylwester/Iris_EDA_Model_Comparison

Solving a classification problem with model comparison using learning curves.

divyachandramouli/Ex5_Diagnostics_of_debugging_algorithms

Regularized linear regression model to predict the water flow from a dam | Examined effects of bias vs variance

DoniaGameel/Employee_Attrition_Prediction

Machine Learning project - CMP2024 - Computer Engineering - Cairo University

harmanveer-2546/NBA-HOMECOURT-ADVANTAGE-DATA-ANALYSIS

In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.

Satkarjain/Boston_housing

Use the DecisionTreeRegressor for predicting the house price based on Boston housing dataset.

wlodpawlowski/dom-test-app

Developed simple web-application for testing (DOM) functionalities based on Bootstrap

wlodpawlowski/zeus-ui

Developed user interface with own preferable customization