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srafay / Machine_Learning_A-Z

Star 392

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az
  • Updated Jun 15, 2021
  • Python

rahuldkjain / Crop_Prediction

Sponsor
Star 75

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authenti…

python flask machine-learning crop dataset wpi rainfall decision-tree-regression price-prediction multivariable crop-price-prediction
  • Updated Apr 23, 2019
  • HTML

eaglewarrior / Machine-learning

Star 46

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

machine-learning algorithm deep-learning clustering linear-regression datascience model-selection neural-networks polynomial-regression hacktoberfest hacktober nlp-machine-learning prediction-model logisitic-regression decision-tree-regression customer-segmentation random-forest-regression hactoberfest-accepted
  • Updated Feb 7, 2024
  • Jupyter Notebook

mukulsinghal001 / USA-Housing-Price-Prediction

Star 6

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
  • Updated Feb 14, 2021
  • Jupyter Notebook

Joycechidi / MachineLearning

Star 5

All my Machine Learning Projects from A to Z in (Python & R)

python r naive-bayes regression classification logistic-regression polynomial-regression decision-tree-regression kernel-svm simple-linear-regression random-forest-regression multiple-linear-regression datapreprocessing support-vector-regression--svr evaluating-regression-models-perf regularization-methods k-nearest-neighbors-k-nn support-vector-machine-svm decision-tree-classification random-forest-classification
  • Updated Aug 15, 2019
  • Jupyter Notebook

XavierCarrera / Tutorial-Machine-Learning-Arboles

Star 5

Los árboles de decisión son uno de los algoritmos clásicos de machine learning ya que nos ayudan a visualizar las predicciones hechas por nuestro modelo. En este tutorial vemos su uso para regresiones lineares y clasificación, así como herramientas de ensamble como bagging y boosting.

data-science machine-learning ensemble decision-trees decision-tree-classifier boosting bagging decision-tree-regression
  • Updated Feb 16, 2021
  • Jupyter Notebook

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