linearregression

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

linear-regression cross-validation regression hyperparameter-optimization knn-regression xgboost-algorithm decision-tree-regression regression-algorithms regression-analysis linearregression regression-model

UpdatedFeb 14, 2021
Jupyter Notebook

RohitRathore1 /Repo-2020

Star4

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.

nlp tensorflow julia keras deep-reinforcement-learning stanford-university cnn pytorch ode rnn machinelearning deeplearning unsupervised-learning pde learning-algorithms visual-recognition meta-learning linearregression intent-classification multitask-learning

UpdatedJul 29, 2020
Jupyter Notebook

CamilaJaviera91 /pyspark-first-approach

Star3

This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.

os pandas path kaggle curses gspread matplotlib fpdf google-oauth2 shutil linearregression pyspark-python kaggle-api pathlib pyspark-sql sparksession vectorassembler window-pyspark

UpdatedMar 31, 2025
Python

1pani /Stock-prices-prediction-of-Google-LLC

Star3

Stock prediction model with data imported from quandl

python machine-learning svm jupyter-notebook linearregression

UpdatedJan 29, 2018
Jupyter Notebook

nipunmohindra /Dummy-variables

Star3

Dummy variables can be really helpful while creating multiple linear regression models.

data-science machine-learning statistics dummy-data linearregression

UpdatedJul 16, 2020
Jupyter Notebook

jhagelback /ez_statistics

Star3

Easy statistical testing on the web

statistics correlation bartlett confidence-intervals anova tdistribution linearregression ftest kruskal-wallis shapiro-wilk ttest friedman wilcoxon-mann-whitney-test normaldistribution wilcoxon-test

UpdatedApr 28, 2022
JavaScript

SevdanurGENC /Machine-Learning-Lecture-Notes

Star2

Machine Learning Lecture Notes

machinelearning regularization linearalgebra naivebayes linearregression logisticregression unsupervisedlearning decisiontrees probabitlity introductiontoml

UpdatedSep 30, 2020
Jupyter Notebook

nipunmohindra /linear-regression

Star2

Few linear regression models developed by me.

python numpy pandas seaborn datascience matplotlib linearregression

UpdatedJul 15, 2020
Jupyter Notebook

rochitasundar /Regression-dynamic-price-prediction-ReCell

Star2

The objective is to build a ML-based solution (linear regression model) to develop a dynamic pricing strategy for used and refurbished smartphones, identifying factors that significantly influence it.

linearregression sklearn-library statsmodel q-q-plot variance-inflation-factor scipy-stats goldfeld-quandt