GitHub - rbritik/Books-: Books for Data Science

Name		Name	Last commit message	Last commit date
100Numpy Exercises.pdf		100Numpy Exercises.pdf
41 ML Interview questions.pdf		41 ML Interview questions.pdf
AI Interview Questions.pdf		AI Interview Questions.pdf
AI ML projects.pdf		AI ML projects.pdf
An-executives-guide-to-AI.pdf		An-executives-guide-to-AI.pdf
Building Data Science Team.pdf		Building Data Science Team.pdf
Comparative Study of Classification Algo.pdf		Comparative Study of Classification Algo.pdf
Comparison of Classsification Algo.pdf		Comparison of Classsification Algo.pdf
DATA Science interview questions.pdf		DATA Science interview questions.pdf
Data Visualization.pdf		Data Visualization.pdf
DataCleaning.pdf		DataCleaning.pdf
DataScience From Scratch.pdf		DataScience From Scratch.pdf
Deep Learning.pdf		Deep Learning.pdf
Deep Learning_Interview Questions.pdf		Deep Learning_Interview Questions.pdf
DeepLearning_AndrewNG.pdf		DeepLearning_AndrewNG.pdf
Effective data Collection.pdf		Effective data Collection.pdf
Getting Analytics right.pdf		Getting Analytics right.pdf
GoingProInDataScientist.pdf		GoingProInDataScientist.pdf
Google_DataEngineering.pdf		Google_DataEngineering.pdf
Handling Imbalanced data.pdf		Handling Imbalanced data.pdf
Lambda functions.pdf		Lambda functions.pdf
LecturesInfo.JPG		LecturesInfo.JPG
MGI-Artificial-Intelligence-Discussion-paper.pdf		MGI-Artificial-Intelligence-Discussion-paper.pdf
ML For Everyone.pdf		ML For Everyone.pdf
ML In Azure.pdf		ML In Azure.pdf
MLAlgo_CheatSheet.JPG		MLAlgo_CheatSheet.JPG
MLProjects.pdf		MLProjects.pdf
ML_AndrewNG.pdf		ML_AndrewNG.pdf
ML_Interview Questions.pdf		ML_Interview Questions.pdf
ML_book_projects.pdf		ML_book_projects.pdf
Machine Learning for deployment.pdf		Machine Learning for deployment.pdf
MachineLeaning_Types.pdf		MachineLeaning_Types.pdf
MachineLearning For Everyone.pdf		MachineLearning For Everyone.pdf
MachineLearning_TopCompanies.pdf		MachineLearning_TopCompanies.pdf
Mathematics.pdf		Mathematics.pdf
Maths_for Mahine Learning.pdf		Maths_for Mahine Learning.pdf
Notes-from-the-AI-frontier-Insights-from-hundreds-of-use-cases-Discussion-paper.pdf		Notes-from-the-AI-frontier-Insights-from-hundreds-of-use-cases-Discussion-paper.pdf
Notes.txt		Notes.txt
Pandas_CheatSheet.pdf		Pandas_CheatSheet.pdf
Python_DataAnalysis.pdf		Python_DataAnalysis.pdf
Python_Interview Questions.pdf		Python_Interview Questions.pdf
Python_InterviewQuestions.pdf		Python_InterviewQuestions.pdf
Python_cheatSheet.pdf		Python_cheatSheet.pdf
Pythondatasciencehandbook.pdf		Pythondatasciencehandbook.pdf
R Programming Cheat Sheet.pdf		R Programming Cheat Sheet.pdf
Recommendation systems.pdf		Recommendation systems.pdf
Regularization.pdf		Regularization.pdf
SQL.pdf		SQL.pdf
Statistics_Cheatsheet_1570459544.pdf		Statistics_Cheatsheet_1570459544.pdf
Supervised_Machine Learning.pdf		Supervised_Machine Learning.pdf
TensorFlow_Python.pdf		TensorFlow_Python.pdf
Time series data analysis.pdf		Time series data analysis.pdf
epdf.pub_recommender-systems-an-introduction.pdf		epdf.pub_recommender-systems-an-introduction.pdf
probability.pdf		probability.pdf
python_for_exploratory_data_analysis.pdf		python_for_exploratory_data_analysis.pdf
storytelling-with-data-cole-nussbaumer-knaflic.pdf		storytelling-with-data-cole-nussbaumer-knaflic.pdf

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Books for Data Science

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