Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: learning-curve

Repositories

deeptechlabs/tuner.algo.extrapol

Tuner Implementation of Extrapolating Learning Curves

Language: Python - Size: 67.4 KB - Last synced: 3 days ago - Pushed: almost 6 years ago - Stars: 3 - Forks: 1

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.

Language: Jupyter Notebook - Size: 3.45 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 0 - Forks: 0

emrecanduran/Bike-Rental-Regression-Models

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

Language: Jupyter Notebook - Size: 10.7 MB - Last synced: 29 days ago - Pushed: 30 days ago - Stars: 0 - Forks: 0

emrecanduran/Marketing-Campaign-Classification

In this repository, two tree-based models from different families-bagging(RF) and boosting(XGB)- are implemented using the CRISP-DM process to predict responses for a marketing campaign, incorporating Borderline-SMOTE to effectively tackle the imbalance in the dataset.

Language: Jupyter Notebook - Size: 3.64 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

CZheee/Deep-Learning

Deep Learning using apple quality dataset

Language: Python - Size: 2.93 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

faridcher/ml-course

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Language: R - Size: 20.5 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 168 - Forks: 154

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.

Language: Jupyter Notebook - Size: 4.54 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

divyachandramouli/Ex5_Diagnostics_of_debugging_algorithms

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

Language: Matlab - Size: 211 KB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

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.

Language: MATLAB - Size: 2.32 MB - Last synced: 9 months ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 0

auriml/model_evaluation_exercise

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Language: HTML - Size: 141 KB - Last synced: 9 months ago - Pushed: about 7 years ago - Stars: 0 - Forks: 1

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.

Language: Matlab - Size: 73.8 MB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 4

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.

Language: Jupyter Notebook - Size: 10 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0

sflender/deep-learning-test

Exploring deep learning on Cooley

Language: Jupyter Notebook - Size: 318 KB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

mohadeseh-ghafoori/Coursera-Machine-Learning-Specialization

Language: Jupyter Notebook - Size: 26.6 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 109 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - Forks: 1

WojciechSylwester/Iris_EDA_Model_Comparison

Solving a classification problem with model comparison using learning curves.

Language: Jupyter Notebook - Size: 563 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

SajjadAli54/cataract-classification

Cataract classification

Language: Jupyter Notebook - Size: 10.4 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

utkuufuk/coursera-machine-learning 📦

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

Language: Matlab - Size: 63.6 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 33 - Forks: 19

sehresh92/Data-Mining-Project

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

Size: 808 KB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

schatzederwelt/customer-churn-prediction

Предиктивный анализ оттока клиентов

Language: Jupyter Notebook - Size: 1.05 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.38 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0