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项目作者:
pratjz
项目描述 :
Cheat Sheets
高级语言:
项目主页:
项目地址:
git://github.com/pratjz/Cheat_Sheets.git
创建时间:
2018-09-20T14:46:45Z
项目社区:
https://github.com/pratjz/Cheat_Sheets
开源协议:
MIT License
下载
super-cheatsheet-machine-learning_1650376545465.pdf
tensorflow-dzone_1650376545607.pdf
scrum cheat sheet_1650376544210.pdf
refresher-algebra-calculus_1650376543307.pdf
refresher-probabilities-statistics_1650376543676.pdf
probability cheat sheet_1650376542281.pdf
refcard_matplotlib_1650376542769.pdf
refcard_python_1650376542839.pdf
pig_1650376541232.pdf
pandas_1650376536783.pdf
ml cheat sheet_1650376535632.pdf
keras_1650376534020.pdf
ggplot2_1650376533141.pdf
hive_1650376533401.pdf
hiveql_1650376533880.pdf
dl cheat sheet_1650376530144.pdf
data-fallacies-to-avoid_1650376525225.pdf
data science cheat sheet_1650376511734.pdf
cpp_1650376510424.pdf
cheatsheet-supervised-learning_1650376508297.pdf
cheatsheet-unsupervised-learning_1650376508923.pdf
cheatsheet-deep-learning_1650376506935.pdf
cheatsheet-machine-learning-tips-and-tricks_1650376507870.pdf
big-o_1650376505910.pdf
c_1650376506136.pdf
ai cheat sheet_1650376504962.pdf
bash_1650376505591.pdf
Tensorflow_1650376497762.pdf
Spark.SQL_1650376493957.pdf
Spark_1650376494058.pdf
SparkPyspark_1650376494777.pdf
Scikit-Learn_1650376491470.pdf
Scikit_Learn_Cheat_Sheet_Python_1650376491629.pdf
Rggplot2_1650376490212.pdf
SQL_1650376490386.pdf
SciPy-Linear Algebra_1650376490672.pdf
Regex_1650376489089.pdf
Rbasic_1650376488326.pdf
Rcaret_1650376488365.pdf
R_xts_1650376486847.pdf
Radvanced_1650376487161.pdf
Radvanced1_1650376487542.pdf
Rbase_1650376487707.pdf
R_data-transformation_1650376486233.pdf
R_dplyr_1650376486720.pdf
R_data-import_1650376483321.pdf
R_Ggplot_1650376482124.pdf
R_RefCzrds_1650376482373.pdf
RStudio-ide_1650376480314.pdf
RTidyverse_1650376480715.pdf
RMarkdown_1650376475132.pdf
RData_table_1650376472345.pdf
R cheat sheet_1650376471573.pdf
R Visualization Cheat Sheet_1650376470482.pdf
Python2_1650376469415.pdf
PySpark_SQL_1650376466798.pdf
PySpark_1650376465610.pdf
PySpark_RDD_1650376465927.pdf
PySeaborn_1650376463679.pdf
PyPandas_basics_1650376462247.pdf
PyPdb_1650376462622.pdf
PyRegex_1650376462729.pdf
PyScikit_1650376462802.pdf
PyScipy_1650376462849.pdf
PyPandas 2_1650376460885.pdf
PyPandas_1650376461206.pdf
PyPandas1_1650376461426.pdf
PyNumpy_1650376460636.pdf
PyJupyter_1650376459592.pdf
PyMatplotlib_1650376459953.pdf
PyBasics3_1650376457974.pdf
PyBokeh_1650376458277.pdf
PyData_1650376458503.pdf
Pandas_1650376457190.pdf
PyBasics_1650376457445.pdf
PyBasics2_1650376457584.pdf
Neural Networks Zoo_1650376453994.pdf
Numpy_1650376454688.pdf
Neural Network Cells_1650376452044.pdf
Neural Network Graphs_1650376452814.pdf
MathsStats_1650376451251.pdf
Matplotlib_1650376451393.pdf
MathsProbability_1650376449085.pdf
MathsStatistics_1650376449684.pdf
MathsLinearAlgebra_1650376447960.pdf
MachineLearning_1650376446965.pdf
MathsCalculus_1650376447374.pdf
MathsLinAlgebra_1650376447534.pdf
Keras_1650376443872.pdf
Deep Learning Cheat Sheet-Hacker Noon_1650376442945.pdf
Design Pattern_1650376443027.pdf
Data Wrangling with dplyr and tidyr - R Studio_1650376442263.pdf
Data Modeling_1650376440705.pdf
DZone introduction to ML_1650376438046.pdf
All Cheat Sheets_1650376436118.pdf
Anaconda_1650376436699.pdf