GitHub - chandranshu23/Machine-Learning-practice: This is my repo of notebook which is used to learn ML algo, data cleaning and related things

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
.ipynb_checkpoints		.ipynb_checkpoints
anaconda_projects		anaconda_projects
models		models
AdaBoostClassifier(sklearn).ipynb		AdaBoostClassifier(sklearn).ipynb
AdaBoost_from_scratch.ipynb		AdaBoost_from_scratch.ipynb
Agglomerative clustering.ipynb		Agglomerative clustering.ipynb
Assignment1.ipynb		Assignment1.ipynb
AutomaticallyGetBestImputation.ipynb		AutomaticallyGetBestImputation.ipynb
Bagging.ipynb		Bagging.ipynb
BaggingRegressor.ipynb		BaggingRegressor.ipynb
Bagging_Iris.ipynb		Bagging_Iris.ipynb
BatchGradientDescent.ipynb		BatchGradientDescent.ipynb
Binning.ipynb		Binning.ipynb
Boston.csv		Boston.csv
DetectingOutliersUsingZScore.ipynb		DetectingOutliersUsingZScore.ipynb
FunctionTransformers.ipynb		FunctionTransformers.ipynb
Iris.csv		Iris.csv
KMeans Clustering.ipynb		KMeans Clustering.ipynb
KMeans_Scratch.ipynb		KMeans_Scratch.ipynb
LassoRegression.ipynb		LassoRegression.ipynb
LinearRegerssion_2(Custom python Class).ipynb		LinearRegerssion_2(Custom python Class).ipynb
LinearRegression1.ipynb		LinearRegression1.ipynb
LogisticRegressionGD.ipynb		LogisticRegressionGD.ipynb
LogisticRegression_1.ipynb		LogisticRegression_1.ipynb
MNIST_PCA.ipynb		MNIST_PCA.ipynb
MeanMedianImputation.ipynb		MeanMedianImputation.ipynb
Mini Batch GD.ipynb		Mini Batch GD.ipynb
MissingIndicator.ipynb		MissingIndicator.ipynb
MultipleRegression.ipynb		MultipleRegression.ipynb
Multiple_Linear_Regression.ipynb		Multiple_Linear_Regression.ipynb
NBClassifier.ipynb		NBClassifier.ipynb
Optuna.ipynb		Optuna.ipynb
OutlierDetectionUsingIQRProximity.ipynb		OutlierDetectionUsingIQRProximity.ipynb
PCA.ipynb		PCA.ipynb
PlayTennis.csv		PlayTennis.csv
PolynomialRegression.ipynb		PolynomialRegression.ipynb
PowerTransformers.ipynb		PowerTransformers.ipynb
PredictWithPipeline.ipynb		PredictWithPipeline.ipynb
RandomForest.ipynb		RandomForest.ipynb
RandomForest_heart.ipynb		RandomForest_heart.ipynb
RandomSampleInputation.ipynb		RandomSampleInputation.ipynb
RidgeRegression.ipynb		RidgeRegression.ipynb
RidgeRegression_SGD.ipynb		RidgeRegression_SGD.ipynb
Stacking.ipynb		Stacking.ipynb
StochasticGradientDescent.ipynb		StochasticGradientDescent.ipynb
Untitled.ipynb		Untitled.ipynb
VotingEnsemble.ipynb		VotingEnsemble.ipynb
Voting_Boston.ipynb		Voting_Boston.ipynb
Youden_j_threshold.ipynb		Youden_j_threshold.ipynb
gradientBoostingClassificationBlog.pdf		gradientBoostingClassificationBlog.pdf
gradient_boosting_classification_geometrics_intuituion.ipynb		gradient_boosting_classification_geometrics_intuituion.ipynb
gradient_boosting_classification_step_by_step.ipynb		gradient_boosting_classification_step_by_step.ipynb
gradient_descent_1.ipynb		gradient_descent_1.ipynb
heart.csv		heart.csv
hierarchical-clustering-with-python-and-scikit-learn-shopping-data.csv		hierarchical-clustering-with-python-and-scikit-learn-shopping-data.csv
main.py		main.py
predictTitanicWithoutPipeline.ipynb		predictTitanicWithoutPipeline.ipynb
student_clustering.csv		student_clustering.csv
submission_top_100.csv		submission_top_100.csv
test_AbJTz2l.csv		test_AbJTz2l.csv
titanicUsingPipeline.ipynb		titanicUsingPipeline.ipynb
train_v9rqX0R.csv		train_v9rqX0R.csv