Iterative stochastic gradient descent (SGD) linear regressor with regularization

Last update: Oct 29, 2021

Related tags

Machine Learning SGD-Linear-Regressor

Overview

SGD-Linear-Regressor

Iterative stochastic gradient descent (SGD) linear regressor with regularization

Dataset: Kaggle “Graduate Admission 2” https://www.kaggle.com/mohansacharya/. The dataset contains a number of parameters:
1. GRE Scores (out of 340)
2. TOEFL Scores (out of 120)
3. University Rating (out of 5)
4. Statement of Purpose (out of 5)
5. Letter of Recommendation Strength (out of 5)
6. Undergraduate GPA (out of 10)
7. Research Experience (either 0 or 1)
8. Chance of Admit (ranging from 0 to 1)
SGD solver supports 2D grid search with one dimension being the learning rate α and the other dimension being the regularization weight λ.
The loss (error) in regression is defined as the mean squared error (MSE) between the ground truth values and the regression values.

Owner

Zechen Ma

GitHub Repository

(3D): LeGO-LOAM, LIO-SAM, and LVI-SAM installation and application

SLAM-application: installation and test (3D): LeGO-LOAM, LIO-SAM, and LVI-SAM Tested on Quadruped robot in Gazebo ● Results: video, video2 Requirement

203 Dec 26, 2022

A concept I came up which ditches the idea of "layers" in a neural network.

Dynet A concept I came up which ditches the idea of "layers" in a neural network. Install Copy Dynet.py to your project. Run the example Install matpl

4 Dec 05, 2021

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imbalanced-learn imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-cla

6.2k Jan 01, 2023

Machine Learning for RC Cars

Suiron Machine Learning for RC Cars Prediction visualization (green = actual, blue = prediction) Click the video below to see it in action! Dependenci

706 Jan 02, 2023

MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine Learning work with thousands of other users.

The collaboration platform for Machine Learning MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine

1.4k Dec 27, 2022

ML-powered Loan-Marketer Customer Filtering Engine

In Loan-Marketing business employees are required to call the user's to buy loans of several fields and in several magnitudes. If employees are calling everybody in the network it is also very length

13 Jul 02, 2022

Bayesian Additive Regression Trees For Python

BartPy Introduction BartPy is a pure python implementation of the Bayesian additive regressions trees model of Chipman et al [1]. Reasons to use BART

187 Dec 16, 2022

Code base of KU AIRS: SPARK Autonomous Vehicle Team

KU AIRS: SPARK Autonomous Vehicle Project Check this link for the blog post describing this project and the video of SPARK in simulation and on parkou

1 Nov 23, 2021

Fourier-Bayesian estimation of stochastic volatility models

fourier-bayesian-sv-estimation Fourier-Bayesian estimation of stochastic volatility models Code used to run the numerical examples of "Bayesian Approa

15 Jun 20, 2022

My capstone project for Udacity's Machine Learning Nanodegree

MLND-Capstone My capstone project for Udacity's Machine Learning Nanodegree Lane Detection with Deep Learning In this project, I use a deep learning-b

407 Dec 12, 2022

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions

A library for debugging/inspecting machine learning classifiers and explaining their predictions

154 Dec 17, 2022

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just

2 Jun 26, 2022

Implementation of different ML Algorithms from scratch, written in Python 3.x

393 Nov 29, 2022

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. 10x Larger Models 10x Faster Trainin

8.4k Dec 30, 2022

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Toolkit for Building Robust ML models that generalize to unseen domains (RobustDG) Divyat Mahajan, Shruti Tople, Amit Sharma Privacy & Causal Learning

149 Jan 06, 2023

A collection of machine learning examples and tutorials.

machine_learning_examples A collection of machine learning examples and tutorials.

7.1k Jan 01, 2023

A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning

pybullet-planning (previously ss-pybullet) A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and

260 Dec 27, 2022

Iterative stochastic gradient descent (SGD) linear regressor with regularization

Related tags

Overview

SGD-Linear-Regressor

Owner

Zechen Ma

(3D): LeGO-LOAM, LIO-SAM, and LVI-SAM installation and application

A concept I came up which ditches the idea of "layers" in a neural network.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Machine Learning for RC Cars

MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine Learning work with thousands of other users.

ML-powered Loan-Marketer Customer Filtering Engine

Bayesian Additive Regression Trees For Python

Code base of KU AIRS: SPARK Autonomous Vehicle Team

Fourier-Bayesian estimation of stochastic volatility models

My capstone project for Udacity's Machine Learning Nanodegree

ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.

Implementation of different ML Algorithms from scratch, written in Python 3.x

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

A collection of machine learning examples and tutorials.

A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning

Tools for Optuna, MLflow and the integration of both.

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.