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Name		Name	Last commit message	Last commit date
Latest commit   History 3 Commits 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Web Scraping.ipynb		Web Scraping.ipynb
Adaboost-hyperparameter.ipynb		Adaboost-hyperparameter.ipynb
Api.ipynb		Api.ipynb
Arbitrary _value_imputation.ipynb		Arbitrary _value_imputation.ipynb
Bagging.ipynb		Bagging.ipynb
Column Transformer.ipynb		Column Transformer.ipynb
Decision Tree And Post Prunning.ipynb		Decision Tree And Post Prunning.ipynb
Decision Tree And Pre Prunning.ipynb		Decision Tree And Pre Prunning.ipynb
EDA using Bivariate and Multivariate Analysis.ipynb		EDA using Bivariate and Multivariate Analysis.ipynb
EDA using Univariate Analysis.ipynb		EDA using Univariate Analysis.ipynb
ElasticNet Regression.ipynb		ElasticNet Regression.ipynb
Encoding 1.ipynb		Encoding 1.ipynb
Feature Construction Feature Splitting.ipynb		Feature Construction Feature Splitting.ipynb
Feature_selection.ipynb		Feature_selection.ipynb
Function Transformer ,skewed data handle.ipynb		Function Transformer ,skewed data handle.ipynb
Gradient of m,b .ipynb		Gradient of m,b .ipynb
Gradient_descent_animation.ipynb		Gradient_descent_animation.ipynb
Handling Date and Time Variables.ipynb		Handling Date and Time Variables.ipynb
Handling Missing Data Part 1.ipynb		Handling Missing Data Part 1.ipynb
Handling Mixed Variables.ipynb		Handling Mixed Variables.ipynb
Hyperparameter Tuning Random Forest using GridSearchCV and RandomizedSearchCV.ipynb		Hyperparameter Tuning Random Forest using GridSearchCV and RandomizedSearchCV.ipynb
Imbalance dataset.ipynb		Imbalance dataset.ipynb
K Nearest Neighbors.ipynb		K Nearest Neighbors.ipynb
KNN Imputer.ipynb		KNN Imputer.ipynb
Lasso Regression.ipynb		Lasso Regression.ipynb
Logistic regression gradient descent.ipynb		Logistic regression gradient descent.ipynb
Mini-Batch Gradient Descent.ipynb		Mini-Batch Gradient Descent.ipynb
Multiple Linear Regression code-from-scratch.ipynb		Multiple Linear Regression code-from-scratch.ipynb
Multiple Linear Regression.ipynb		Multiple Linear Regression.ipynb
Naive Bayes.ipynb		Naive Bayes.ipynb
Normalization.ipynb		Normalization.ipynb
One hot encoding.ipynb		One hot encoding.ipynb
Outlier Detection and Removal using Z-score .ipynb		Outlier Detection and Removal using Z-score .ipynb
Outlier Detection and Removal using the IQR Method.ipynb		Outlier Detection and Removal using the IQR Method.ipynb
Outlier Detection using the Percentile Method.ipynb		Outlier Detection using the Percentile Method.ipynb
Pandas Profiling.ipynb		Pandas Profiling.ipynb
Perceptron Trick.ipynb		Perceptron Trick.ipynb
Polynomial Regression.ipynb		Polynomial Regression.ipynb
Power Transformer .ipynb		Power Transformer .ipynb
Precision, Recall and F1 Score.ipynb		Precision, Recall and F1 Score.ipynb
Regression Metrics .ipynb		Regression Metrics .ipynb
Ridge Gradient Descent .ipynb		Ridge Gradient Descent .ipynb
Ridge Regularization.ipynb		Ridge Regularization.ipynb
Scraping products from amazon by selenium.ipynb		Scraping products from amazon by selenium.ipynb
Simple Linear Regression.ipynb		Simple Linear Regression.ipynb
Stacking and Blending.ipynb		Stacking and Blending.ipynb
Standardization scaling.ipynb		Standardization scaling.ipynb
Stochastic Gradient Descent.ipynb		Stochastic Gradient Descent.ipynb
Understanding Your Data.ipynb		Understanding Your Data.ipynb
Working with JSON and SQL.ipynb		Working with JSON and SQL.ipynb
adaboost_Scratch.ipynb		adaboost_Scratch.ipynb
agglomerative-hierarchical-clustering-demo.ipynb		agglomerative-hierarchical-clustering-demo.ipynb
automatically-select-imputer-parameters.ipynb		automatically-select-imputer-parameters.ipynb
bagging classification.ipynb		bagging classification.ipynb
bagging regressor.ipynb		bagging regressor.ipynb
bagging_vs_random_forest..ipynb		bagging_vs_random_forest..ipynb
batch gd.ipynb		batch gd.ipynb
binning and binarization.ipynb		binning and binarization.ipynb
dtreeviz_demo decision tree.ipynb		dtreeviz_demo decision tree.ipynb
feature-importance-in-sklearn.ipynb		feature-importance-in-sklearn.ipynb
frequent-value-imputation.ipynb		frequent-value-imputation.ipynb
gradient_boost_step_by_step.ipynb		gradient_boost_step_by_step.ipynb
gradient_descent_step by step.ipynb		gradient_descent_step by step.ipynb
how_feature_importance_is_calculated.ipynb		how_feature_importance_is_calculated.ipynb
kmean_clustering_demo.ipynb		kmean_clustering_demo.ipynb
linearReg.ipynb		linearReg.ipynb
lr.pkl		lr.pkl
mean-median-imputation.ipynb		mean-median-imputation.ipynb
missing-category-imputation.ipynb		missing-category-imputation.ipynb
missing_indicator.ipynb		missing_indicator.ipynb
model.pkl		model.pkl
model_clf.pkl		model_clf.pkl
model_ohe_embarked.pkl		model_ohe_embarked.pkl
model_ohe_sex.pkl		model_ohe_sex.pkl
movies.csv		movies.csv
oob score.ipynb		oob score.ipynb
output.html		output.html
pca_step_by_step.ipynb		pca_step_by_step.ipynb
pipe.pkl		pipe.pkl
prediction_without_using_pipeline.ipynb		prediction_without_using_pipeline.ipynb
python.py		python.py
random-sample-imputation.ipynb		random-sample-imputation.ipynb
ridge-regression-from-scratch.ipynb		ridge-regression-from-scratch.ipynb
ridge_regresson_from scratch m and b.ipynb		ridge_regresson_from scratch m and b.ipynb
skewed data handaling.ipynb		skewed data handaling.ipynb
softmax-demo.ipynb		softmax-demo.ipynb
stochastic_animation_contour_plot.gif		stochastic_animation_contour_plot.gif
student-placement-predictor.ipynb		student-placement-predictor.ipynb
svm trick.ipynb		svm trick.ipynb
titanic using pipeline.ipynb		titanic using pipeline.ipynb
titanic-without-pipeline.ipynb		titanic-without-pipeline.ipynb
voting_regressor.ipynb		voting_regressor.ipynb
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