GitHub - hakimbazol/Data-Science-Learning-Material: This is github repositories for all data science material I feel important. I would update it daily.

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This is github repositories for all data science material I feel important. I would update it daily.

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
13_way_to_see_correlation.pdf		13_way_to_see_correlation.pdf
703c6022-bbc1-4c99-babf-e8d71aff475c.jfif		703c6022-bbc1-4c99-babf-e8d71aff475c.jfif
A tutorial on PCA.pdf		A tutorial on PCA.pdf
Abdi-KendallCorrelation2007-pretty.pdf		Abdi-KendallCorrelation2007-pretty.pdf
Abdi-MCA2007-pretty.pdf		Abdi-MCA2007-pretty.pdf
Advanced Analytics with Spark, 2nd Edition.pdf		Advanced Analytics with Spark, 2nd Edition.pdf
Artificial_network_for_dummies.pdf		Artificial_network_for_dummies.pdf
Azure_ML_cheatsheet.pdf		Azure_ML_cheatsheet.pdf
Big data for dummies.pdf		Big data for dummies.pdf
Big_Data_Principles_and_Best_Practices_of_Scalable_Realtime_Data_Systems_Nathan_Marz _James_Warren.pdf		Big_Data_Principles_and_Best_Practices_of_Scalable_Realtime_Data_Systems_Nathan_Marz _James_Warren.pdf
Confidence_Intervals_for_the_Difference_Between_Two_Means.pdf		Confidence_Intervals_for_the_Difference_Between_Two_Means.pdf
Customer-Propensity-Models-Explained.pdf		Customer-Propensity-Models-Explained.pdf
Data-Transformations-1.pdf		Data-Transformations-1.pdf
Data_fallacies.pdf		Data_fallacies.pdf
Deep Learning Cookbook_ Practic - Douwe Osinga.pdf		Deep Learning Cookbook_ Practic - Douwe Osinga.pdf
Deep-Learning-with-PyTorch.pdf		Deep-Learning-with-PyTorch.pdf
EDebiasi_Age-Period-Cohort-Analysis.pdf.pdf		EDebiasi_Age-Period-Cohort-Analysis.pdf.pdf
Fourier_analysis.pdf		Fourier_analysis.pdf
Hands-On-Machine-Learning-1st.pdf		Hands-On-Machine-Learning-1st.pdf
Hierarchical clustering 2020.pdf		Hierarchical clustering 2020.pdf
Intelligent Projects Using Python 1st Edition.Pdf		Intelligent Projects Using Python 1st Edition.Pdf
JaynesProbabilityTheory.pdf		JaynesProbabilityTheory.pdf
K R Murphy, B Myors - Statistical Power Analysis.pdf		K R Murphy, B Myors - Statistical Power Analysis.pdf
Kernel_density_estimation.pdf		Kernel_density_estimation.pdf
LinRegExp.doc		LinRegExp.doc
Local_outlier_factor.pdf		Local_outlier_factor.pdf
MCA with R.pdf		MCA with R.pdf
ML_rules.pdf		ML_rules.pdf
Mathematic_for_machine_learning.pdf		Mathematic_for_machine_learning.pdf
Mathematical_cheat_sheet.pdf		Mathematical_cheat_sheet.pdf
Multiple_Factor_Analysis.pdf		Multiple_Factor_Analysis.pdf
Normality_Testing.pdf		Normality_Testing.pdf
One-class-classification.pdf		One-class-classification.pdf
Outlier Detection 1.pdf		Outlier Detection 1.pdf
Pandas_Cheat_Sheet.pdf		Pandas_Cheat_Sheet.pdf
Practical Statistics for Data Scientists.pdf		Practical Statistics for Data Scientists.pdf
Python for Data Analysis.pdf		Python for Data Analysis.pdf
Python-Cheat-Sheet.pdf		Python-Cheat-Sheet.pdf
SMOTE.pdf		SMOTE.pdf
Simple_linear_regression.pdf		Simple_linear_regression.pdf
Singular_Value_Decomposition_Tutorial.pdf		Singular_Value_Decomposition_Tutorial.pdf
Statistical_machine_learning.pdf		Statistical_machine_learning.pdf
The_element_of_statistical_learning.pdf		The_element_of_statistical_learning.pdf
Theory_of_correspondence analysis.pdf		Theory_of_correspondence analysis.pdf
Top_deep_learning_interview_question.pdf		Top_deep_learning_interview_question.pdf
Understanding-Benjamini-Hochberg-method-2ijolq0.pdf		Understanding-Benjamini-Hochberg-method-2ijolq0.pdf
UnitRoot_ADF.pdf		UnitRoot_ADF.pdf
[Chollet]-Deep_Learning_with_Python.pdf		[Chollet]-Deep_Learning_with_Python.pdf
alghoritm_selection.png		alghoritm_selection.png
anova.pdf		anova.pdf
artificial-intelligence-modern-approach.9780131038059.25368.pdf		artificial-intelligence-modern-approach.9780131038059.25368.pdf
bootstrap.pdf		bootstrap.pdf
bootstrap_lecture.pdf		bootstrap_lecture.pdf
categorical_encoder_cheat_sheet.png		categorical_encoder_cheat_sheet.png
choosing-a-good-chart-09.pdf		choosing-a-good-chart-09.pdf
classify_multivariate_outlier.pdf		classify_multivariate_outlier.pdf
cluster_unsupervised_learning.jfif		cluster_unsupervised_learning.jfif
comparison_of_classification_alghoritm.pdf		comparison_of_classification_alghoritm.pdf
data-science-from-scratch.pdf		data-science-from-scratch.pdf
data_case_study_collection.pdf		data_case_study_collection.pdf
data_collection.pdf		data_collection.pdf
data_science_interview_question.pdf		data_science_interview_question.pdf
datascienceinterviewquestion.pdf		datascienceinterviewquestion.pdf
decision_tree_regressor.pdf		decision_tree_regressor.pdf
deep-learning-nlp-speech-recognition.pdf		deep-learning-nlp-speech-recognition.pdf
deep_learning_[Ian_Goodfellow,_Yoshua_Bengio_and_Aaron_Courville(z-lib.org).pdf		deep_learning_[Ian_Goodfellow,_Yoshua_Bengio_and_Aaron_Courville(z-lib.org).pdf
deep_learning_notes.pdf		deep_learning_notes.pdf
detecting_outlier_PyOD.pdf		detecting_outlier_PyOD.pdf
download.png		download.png
effective_way_to_data_collecting.pdf		effective_way_to_data_collecting.pdf
evaluating_model.pdf		evaluating_model.pdf
feature_engineering.pdf		feature_engineering.pdf
feature_selection_technique.pdf		feature_selection_technique.pdf
few_things_to_know_about_machine_learning.pdf		few_things_to_know_about_machine_learning.pdf
few_useful_thing_about_ml.pdf		few_useful_thing_about_ml.pdf
finding_structure_with_randomness.pdf		finding_structure_with_randomness.pdf
greedy_function_approximation.pdf		greedy_function_approximation.pdf
guide_to_data_collection.pdf		guide_to_data_collection.pdf
how_to_detect_multivariate_outlier.pdf		how_to_detect_multivariate_outlier.pdf
how_to_present.jfif		how_to_present.jfif
illustrative_example_propensity.pdf		illustrative_example_propensity.pdf
intro_to_MCMC.pdf		intro_to_MCMC.pdf
intro_to_deep_learning.pdf		intro_to_deep_learning.pdf
k-means explained.png		k-means explained.png
linear_classifier.pdf		linear_classifier.pdf
list_of_time_series_method.jfif		list_of_time_series_method.jfif
log_models_intepertation.pdf		log_models_intepertation.pdf
logmodels2.pdf		logmodels2.pdf
maachine_learning_roadmap_anthr.jfif		maachine_learning_roadmap_anthr.jfif
machine_learning_alghoritms.jfif		machine_learning_alghoritms.jfif
machine_learning_implementation.pdf		machine_learning_implementation.pdf
machine_learning_interpretable.pdf		machine_learning_interpretable.pdf
machine_learning_roadmapjfif.jfif		machine_learning_roadmapjfif.jfif
major_types_machine_learning.pdf		major_types_machine_learning.pdf
math_to_machine_learning.pdf		math_to_machine_learning.pdf
missing_data_type.pdf		missing_data_type.pdf
neural_network.jfif		neural_network.jfif
non_parametric_slide.pdf		non_parametric_slide.pdf
outlier_detection.pdf		outlier_detection.pdf
outlier_detection_1.pdf		outlier_detection_1.pdf