Tags

• R 4
• Python 11
• Matlab 1
• Cheat-sheet 2
• SQL 1
• Numpy 3
• Pandas 9
• Regression 1
• Classification 2
• keras 1
• columns 4
• DataFrame 5
• Crosstab 1
• quantile 1
• Pipe 3
• ndim 1
• shape 1
• set_index 1
• iloc 3
• loc 3
• np.where 1
• isin 1
• drop 1
• replace 1
• concat 1
• merge 1
• head 1
• describe 1
• groupby 1
• reset_index 1
• pivot_table 1
• List 2
• Tuple 2
• Dictionary 2
• Arrays 2
• Class 2
• set 2
• True 1
• False 1
• Boolean-value 1
• ~ 1
• f-string 1
• Try-except 1
• Range 1
• For 1
• While 1
• Comprehension-structure 1
• Gradient-Descent 1
• Newton-Raphson 1
• learning-rate 1
• python 1
• plot 1
• matplotlib 1
• plotnine 1
• Tensorflow 1
• logisticRegression 1
• Python_learn 4
• Fitting-Model 1
• Test 1
• leaf 1
• ssh 1

R

• A Dive into Montreal Crime Pattern.
• Multiple Regression via R and Python
• SQL At A Glance
• Cheatsheet for R, Python, and Matlab

Python

• How run apply on array
• Regression via Python
• Logistic Regression via Python
• Introduction to TensorFlow
• Different classification techniques
• Optimization
• An introduction to Keras-Classification.
• Multiple Regression via R and Python
• Cheat Sheet of Numpy, Panda and python core
• SQL At A Glance
• Cheatsheet for R, Python, and Matlab

Matlab

• Cheatsheet for R, Python, and Matlab

Cheat-sheet

• Cheat Sheet of Numpy, Panda and python core
• Cheatsheet for R, Python, and Matlab

SQL

• SQL At A Glance

Numpy

• Function in Python
• Data Structure
• Cheat Sheet of Numpy, Panda and python core

Pandas

• Summarizing data-frame
• Pipline
• new column to data-frame
• Merging data-frame
• Manipulating data-frame
• Data-frame
• Crosstab
• Applying function on data-frame
• Cheat Sheet of Numpy, Panda and python core

Regression

• Multiple Regression via R and Python

Classification

• Different classification techniques
• An introduction to Keras-Classification.

keras

• An introduction to Keras-Classification.

columns

• Summarizing data-frame
• Merging data-frame
• Manipulating data-frame
• Crosstab

DataFrame

• Summarizing data-frame
• Merging data-frame
• Manipulating data-frame
• Data-frame
• Crosstab

Crosstab

• Crosstab

quantile

• Crosstab

Pipe

• Pipline
• new column to data-frame
• Data-frame

ndim

• Data-frame

shape

• Data-frame

set_index

• Data-frame

iloc

• Summarizing data-frame
• Merging data-frame
• Manipulating data-frame

loc

• Summarizing data-frame
• Merging data-frame
• Manipulating data-frame

np.where

• Manipulating data-frame

isin

• Manipulating data-frame

drop

• Manipulating data-frame

replace

• Manipulating data-frame

concat

• Merging data-frame

merge

• Merging data-frame

head

• Summarizing data-frame

describe

• Summarizing data-frame

groupby

• Summarizing data-frame

reset_index

• Summarizing data-frame

pivot_table

• Summarizing data-frame

List

• Function in Python
• Data Structure

Tuple

• Function in Python
• Data Structure

Dictionary

• Function in Python
• Data Structure

Arrays

• Function in Python
• Data Structure

Class

• Function in Python
• Data Structure

set

• Function in Python
• Data Structure

True

• Data control structure

False

• Data control structure

Boolean-value

• Data control structure

~

• Data control structure

f-string

• Data control structure

Try-except

• Data control structure

Range

• Iteration

For

• Iteration

While

• Iteration

Comprehension-structure

• Iteration

Gradient-Descent

• Optimization

Newton-Raphson

• Optimization

learning-rate

• Optimization

python

• Introductory Notes on plot

plot

• Introductory Notes on plot

matplotlib

• Introductory Notes on plot

plotnine

• Introductory Notes on plot

Tensorflow

• Introduction to TensorFlow

logisticRegression

• Logistic Regression via Python

Python_learn

• How generate variable name using loop item
• How to save all objects
• How run apply on array
• Regression via Python

Fitting-Model

• Regression via Python

Test

• P-value interpretation

leaf

• A Dive into Montreal Crime Pattern.

ssh

• Passwordless login linux system