multiple-linear-regression

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pavankalyan1997 / Machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

machine-learning-algorithms jupyter-notebook naive-bayes-classifier artificial-neural-networks k-means-clustering simple-linear-regression knn-classifier multiple-linear-regression

Updated Feb 5, 2019
Jupyter Notebook

free-to-learn / Machine-Learning-Concepts

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Machine Learning Concepts with Concepts

python data-science machine-learning statistics deep-learning concepts linear-regression scikit-learn machine-learning-algorithms ml regression machine-learning-library python-3 polynomial-regression stastistical-sampling multiple-linear-regression machinelearning-python

Updated Aug 30, 2020
Jupyter Notebook

shantanu1109 / Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

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This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression

Updated Jan 25, 2023
Jupyter Notebook

sanithps98 / Automobile-Dataset-Analysis

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This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

numpy linear-regression exploratory-data-analysis pandas data-visualization seaborn data-analysis matplotlib datawrangling polynomial-regression model-evaluation model-development multiple-linear-regression datascience-machinelearning

Updated Jun 13, 2021
Jupyter Notebook

mahesh147 / Multiple-Linear-Regression

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A simple python program that implements a very basic Multiple Linear Regression model

machine-learning sklearn machine-learning-algorithms python3 linear-regression-models multiple-linear-regression

Updated Sep 30, 2020
Python

Tobias-Mann / Pairs-Trading-Analyzer

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C# Console Application: Asks for two files containing historical financial data in the same format as files from Yahoo Finance. Performs the two-step Engel-Granger Test for Cointegration and simulates profits of applying the Pairs Trading Strategy to these stocks. To Project further Includes code to conduct statistical inference and a Function t…

csharp trading cointegration multiple-linear-regression augmented-dickey-fuller-test engel-granger-test

Updated Dec 14, 2020
C#

gmrandazzo / QStudioMetrics

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A Comprehensive Software for Data Mining and Multivariate Analysis

data-science data-mining principal-component-analysis chemometrics linear-discriminant-analysis multivariate-analysis multiple-linear-regression partial-least-squares consensus-principal-component-analysis

Updated Nov 11, 2024
C++

Anindya-Das02 / Comparison-of-ML-models-for-predicting-AQI

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In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

python machine-learning numpy sklearn project pandas india polynomial-regression regression-models aqi support-vector-regression decision-tree-regression random-forest-regression multiple-linear-regression air-quality-index

Updated Feb 14, 2024
Python

AGhaderi / hDDM_attention

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The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

python decision-making attention wavelet-transform multiple-linear-regression time-frequency-analysis hddm eeg-components

Updated May 12, 2021
Jupyter Notebook

AkJoshi19 / MachineLearning_A_Z

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The respository is for Machine learning basiscs.

machine-learning linear-regression regression python3 logistic-regression support-vector-machine polynomial-regression kmeans-clustering k-nearest-neighbours support-vector-regressor multiple-linear-regression

Updated Jan 9, 2019
Python

marcelcases / calibration-sensors-machine-learning

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Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms

deep-learning neural-network random-forest tensorflow sklearn kernel-regression support-vector-regression k-nearest-neighbor multiple-linear-regression gaussian-process

Updated Apr 18, 2022
Python

VaibhavAbhimanyooHiwase / Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

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Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.