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This repo covered following topics: Fundamentals of Statistics Linear Regression Logistic Regresssion Decision Tree KNN SVM Random Forest Clustering PCA XG Boost

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Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
MLflow		MLflow
data		data
Admission_Prediction.csv		Admission_Prediction.csv
Advance_House_Price_Prediction_Exploratory_Data_Analysis.ipynb		Advance_House_Price_Prediction_Exploratory_Data_Analysis.ipynb
Advertising.csv		Advertising.csv
BoostingAlgos.py		BoostingAlgos.py
Covariance_and_Correlation.py		Covariance_and_Correlation.py
DBScanCLustering.py		DBScanCLustering.py
DataEncoding.py		DataEncoding.py
DecisionTreeClassifier.py		DecisionTreeClassifier.py
EDA_FE_flightPrice.py		EDA_FE_flightPrice.py
EDA_forestfirePrediction.py		EDA_forestfirePrediction.py
EDA_studentPerfIndicator.py		EDA_studentPerfIndicator.py
EDA_wineQuality.py		EDA_wineQuality.py
FeatureScaling.py		FeatureScaling.py
FiveNumberSummaryBoxPlot.py		FiveNumberSummaryBoxPlot.py
HandlingImbalanceData.py		HandlingImbalanceData.py
HandlingMissingValue.py		HandlingMissingValue.py
HierarichalClusteringImplementation.py		HierarichalClusteringImplementation.py
HypothesisTests.py		HypothesisTests.py
Interpolations.py		Interpolations.py
Intro_To_Machine_Learning.ipynb		Intro_To_Machine_Learning.ipynb
IsolationForestClustering.py		IsolationForestClustering.py
KMeanCLustering.py		KMeanCLustering.py
KNNClassifierRegressor.py		KNNClassifierRegressor.py
LinearRegressionAndRegularization.py		LinearRegressionAndRegularization.py
Machine_Learning_2.ipynb		Machine_Learning_2.ipynb
NaiveBayesClassifier.py		NaiveBayesClassifier.py
PCAAlgo.py		PCAAlgo.py
Performance_Metrices.ipynb		Performance_Metrices.ipynb
Position_Salaries.csv		Position_Salaries.csv
README.md		README.md
RandomForestClassifier.py		RandomForestClassifier.py
SimpleLinearRegression.py		SimpleLinearRegression.py
Statistics_For_MachineLearning.ipynb		Statistics_For_MachineLearning.ipynb
finalized_model.pickle		finalized_model.pickle
house-prices_test.csv		house-prices_test.csv
house-prices_train.csv		house-prices_train.csv

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Machine_learning

This repo covered following topics:

Fundamentals of Statistics
Linear Regression
Logistic Regresssion
Decision Tree
KNN
SVM
Random Forest
Clustering
PCA
XG Boost

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This repo covered following topics: Fundamentals of Statistics Linear Regression Logistic Regresssion Decision Tree KNN SVM Random Forest Clustering PCA XG Boost

machine-learning statistics clustering machine-learning-algorithms regression

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