GitHub - mayank0rastogi/MACHINE-LEARNING-ALGORITHMS: This Repository Contains Different Machine Learning and Important Concepts

MACHINE-LEARNING-ALGORITHMS

The purpose of this Repository is to make comforatle with different MACHINE LEARNING ALGORITMS with help of data

Table of Content:

Linear Regression

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
3D visualize Multiple Linear Regression		3D visualize Multiple Linear Regression
ARIMA model for time series data(ML)		ARIMA model for time series data(ML)
Agglomerative Clustering		Agglomerative Clustering
Classification Algorithm		Classification Algorithm
Concept of pipeline		Concept of pipeline
Cross Validation		Cross Validation
DATA ~Analysis		DATA ~Analysis
DBScan		DBScan
Decission_tree_Regression		Decission_tree_Regression
ElasticNet Regression		ElasticNet Regression
Feature Selection		Feature Selection
Getting Knowing our data		Getting Knowing our data
Handling Imbalanced Data		Handling Imbalanced Data
K-NearestNeighbour(KNN)		K-NearestNeighbour(KNN)
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
Multiple Linear Regression		Multiple Linear Regression
NaiveBayes		NaiveBayes
Polynomial regression		Polynomial regression
Random forests Classifier		Random forests Classifier
RandomForests Regressor		RandomForests Regressor
RandomizedSearchCV		RandomizedSearchCV
Ridge & Lasso Regression		Ridge & Lasso Regression
Selecting Best Parameters Using Hyperparameter		Selecting Best Parameters Using Hyperparameter
Silhoute clustering(validating clustering Models)		Silhoute clustering(validating clustering Models)
Xgboost		Xgboost
apyori Algorithm		apyori Algorithm
log10 transformation outliers and many more		log10 transformation outliers and many more
multicollinearity		multicollinearity
sorting and filtering Into data/euro		sorting and filtering Into data/euro
README.md		README.md

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MACHINE-LEARNING-ALGORITHMS

The purpose of this Repository is to make comforatle with different MACHINE LEARNING ALGORITMS with help of data

Table of Content:

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