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.gitattributes
.gitattributes
 
 
Data Frame Basics.ipynb
Data Frame Basics.ipynb
 
 
Decision Tree.ipynb
Decision Tree.ipynb
 
 
HR_comma_sep.csv
HR_comma_sep.csv
 
 
Handling missing data.ipynb
Handling missing data.ipynb
 
 
Logistic Regression.ipynb
Logistic Regression.ipynb
 
 
README.md
README.md
 
 
apple.csv
apple.csv
 
 
appledatechange.csv
appledatechange.csv
 
 
canada.csv
canada.csv
 
 
canada.xlsx
canada.xlsx
 
 
concat merge dataframe.ipynb
concat merge dataframe.ipynb
 
 
crosstab.ipynb
crosstab.ipynb
 
 
crosstab.xlsx
crosstab.xlsx
 
 
decisionsalary.csv
decisionsalary.csv
 
 
dummy variable one hot encoding.ipynb
dummy variable one hot encoding.ipynb
 
 
dummyonehotencoding.csv
dummyonehotencoding.csv
 
 
dummyonehotencoding.xlsx
dummyonehotencoding.xlsx
 
 
hiring.csv
hiring.csv
 
 
homeareas.csv
homeareas.csv
 
 
homeareas.xlsx
homeareas.xlsx
 
 
homerent.csv
homerent.csv
 
 
homerent.xlsx
homerent.xlsx
 
 
linear Regression.ipynb
linear Regression.ipynb
 
 
logisticinsurance.csv
logisticinsurance.csv
 
 
matplotlib.ipynb
matplotlib.ipynb
 
 
model_joblib
model_joblib
 
 
model_pickle
model_pickle
 
 
multiplereg.csv
multiplereg.csv
 
 
new.csv
new.csv
 
 
newyork.csv
newyork.csv
 
 
newyork.xlsx
newyork.xlsx
 
 
paris.csv
paris.csv
 
 
paris.xlsx
paris.xlsx
 
 
pickle.txt
pickle.txt
 
 
pivot table.ipynb
pivot table.ipynb
 
 
pivot1.csv
pivot1.csv
 
 
pivot1.xlsx
pivot1.xlsx
 
 
pivot2.csv
pivot2.csv
 
 
pivot2.xlsx
pivot2.xlsx
 
 
pivot3.csv
pivot3.csv
 
 
pivot3.txt
pivot3.txt
 
 
pivot3.xlsx
pivot3.xlsx
 
 
predictionhome.csv
predictionhome.csv
 
 
reshapemelt.csv
reshapemelt.csv
 
 
reshapemelt.xlsx
reshapemelt.xlsx
 
 
save model using joblib and pickle.ipynb
save model using joblib and pickle.ipynb
 
 
split apply combine group.ipynb
split apply combine group.ipynb
 
 
stackunstack.ipynb
stackunstack.ipynb
 
 
stackunstack.xlsx
stackunstack.xlsx
 
 
stocks.csv
stocks.csv
 
 
stocks.xlsx
stocks.xlsx
 
 
stocks_3_levels.xlsx
stocks_3_levels.xlsx
 
 
stocks_stack.xlsx
stocks_stack.xlsx
 
 
support vector machine.ipynb
support vector machine.ipynb
 
 
time series 2 date range.ipynb
time series 2 date range.ipynb
 
 
time series analysis part 1 Date time index and resample.ipynb
time series analysis part 1 Date time index and resample.ipynb
 
 
titanic_data.csv
titanic_data.csv
 
 
train and testing available data.ipynb
train and testing available data.ipynb
 
 
traingandtestingdata.csv
traingandtestingdata.csv
 
 
weather.csv
weather.csv
 
 
weather.xlsx
weather.xlsx
 
 
weather_by_cities.csv
weather_by_cities.csv
 
 
weather_by_cities.xlsx
weather_by_cities.xlsx
 
 

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Machine-Learning-tutorials

pandas matplotlib sklearn

  1. Data Frame Basics
  2. Handing Mising data
  3. Split appy combine group
  4. Concat merge dataframe
  5. Pivot Table
  6. Stack unstack
  7. Cross tab
  8. Time series Analylis part 1: Date time index and resample
  9. Time series part 2 : Date Range
  10. Matplotlib introduction

Machine Learning

  1. Linear Regression
  2. Save Model Using joblib and pickle
  3. Dummy variable one hot encoding
  4. Logistic Regression
  5. Decision Tree
  6. Support Vector Machine

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pandas matplotlib sklearn

www.youtube.com/channel/UCh9nVJoWXmFb7sLApWGcLPQ

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pan py mach matp skle kuet

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