data_science

Source codes, files and the whole datasets of the first "Data Science Course"

To find out more about us, go to:

https://www.m-fozouni.ir/en

I've been writting some general articles about Data Science that you can see and read them here:

https://www.m-fozouni.ir/category/data-science/

You can check my academic webpage at the following address:

http://profs.gonbad.ac.ir/en/fozouni

If you are a talented person, please give us a hand and fill the following form:

https://www.m-fozouni.ir/join-us/

Name		Name	Last commit message	Last commit date
Latest commit History 82 Commits
13_2, Multiple Linear Regression.csv		13_2, Multiple Linear Regression.csv
13_2, Multiple Linear Regression.ipynb		13_2, Multiple Linear Regression.ipynb
13_5, heteroscedasticity.csv		13_5, heteroscedasticity.csv
13_5, heteroscedasticity.ipynb		13_5, heteroscedasticity.ipynb
14. Multiple Linear Regression with Dummies.ipynb		14. Multiple Linear Regression with Dummies.ipynb
14_1, Dummy variables.csv		14_1, Dummy variables.csv
14_1, real_estate_priceSYV.csv		14_1, real_estate_priceSYV.csv
14_3. Multiple Linear Regression with Dummies.ipynb		14_3. Multiple Linear Regression with Dummies.ipynb
16, 17, 18- Predicting the Used Cars Price with Multiple Linear Regression.ipynb		16, 17, 18- Predicting the Used Cars Price with Multiple Linear Regression.ipynb
23- Marker_Segmentation.csv		23- Marker_Segmentation.csv
23_1.pdf		23_1.pdf
23_2, Country clusters and WCSS method.ipynb		23_2, Country clusters and WCSS method.ipynb
23_3, Market segmentation example.ipynb		23_3, Market segmentation example.ipynb
24_1.pdf		24_1.pdf
25.pdf		25.pdf
26_1.pdf		26_1.pdf
26_3.ipynb		26_3.ipynb
27_2.pdf		27_2.pdf
27_3, An ML algorithm example by TensorFlow.ipynb		27_3, An ML algorithm example by TensorFlow.ipynb
28.pdf		28.pdf
29.pdf		29.pdf
30_1.pdf		30_1.pdf
30_2.pdf		30_2.pdf
30_3.pdf		30_3.pdf
30_4.pdf		30_4.pdf
31.pdf		31.pdf
32_1.pdf		32_1.pdf
32_2, extracting numbers from MNIST dataset by using tensorflow.ipynb		32_2, extracting numbers from MNIST dataset by using tensorflow.ipynb
33_1.pdf		33_1.pdf
33_2.ipynb		33_2.ipynb
33_Audiobooks_data_Without_Headers.csv		33_Audiobooks_data_Without_Headers.csv
4_1.pdf		4_1.pdf
4_2.pdf		4_2.pdf
4_3.pdf		4_3.pdf
7.pdf		7.pdf
Code Session 12 Pandas.py		Code Session 12 Pandas.py
Code Session 13.py		Code Session 13.py
Code Session 9 Pandas.py		Code Session 9 Pandas.py
Code session 10 Pandas.py.py		Code session 10 Pandas.py.py
Code session 19 Pandas.ipynb		Code session 19 Pandas.ipynb
FIFA 2019, Session_6.xlsx		FIFA 2019, Session_6.xlsx
Python_1.ipynb		Python_1.ipynb
Python_2.ipynb		Python_2.ipynb
Python_3 - Conditionals.ipynb		Python_3 - Conditionals.ipynb
Python_4, Functions.ipynb		Python_4, Functions.ipynb
Python_5 - Sequences.ipynb		Python_5 - Sequences.ipynb
Python_6_1, Iterations, for and while .ipynb		Python_6_1, Iterations, for and while .ipynb
Python_6_2, OOP, modules and packages.ipynb		Python_6_2, OOP, modules and packages.ipynb
README.md		README.md
Session 10- Practical example.xlsx		Session 10- Practical example.xlsx
Session 10.xlsx		Session 10.xlsx
Session 11_4, Dataset.xlsx		Session 11_4, Dataset.xlsx
Session 12, Simple Linear Regression.csv		Session 12, Simple Linear Regression.csv
Session 12_2, Linear Regression.ipynb		Session 12_2, Linear Regression.ipynb
Session 15.rar		Session 15.rar
Session 19.rar		Session 19.rar
Session 20.rar		Session 20.rar
Session 21.rar		Session 21.rar
Session 22.rar		Session 22.rar
Session 24.zip		Session 24.zip
Session 8, Descriptive statistics.xlsx		Session 8, Descriptive statistics.xlsx
Session 9 of Pandas.xlsx		Session 9 of Pandas.xlsx
Used Cars Price.csv		Used Cars Price.csv
code session 8 Pandas.py		code session 8 Pandas.py
code session 11 Pandas.py		code session 11 Pandas.py
code session 14 Pandas.py		code session 14 Pandas.py
code session 15 Pandas.py		code session 15 Pandas.py
code session 16 Pandas.py		code session 16 Pandas.py
code session 17 Pandas.py		code session 17 Pandas.py
code session 18_1 Pandas.ipynb		code session 18_1 Pandas.ipynb
code session 18_2 Pandas.ipynb		code session 18_2 Pandas.ipynb
code session 2 Pandas More attributes.py		code session 2 Pandas More attributes.py
code session 2 Pandas imp.py		code session 2 Pandas imp.py
code session 2.1 Pandas.py		code session 2.1 Pandas.py
code session 2.2 Pandas.py		code session 2.2 Pandas.py
code session 20 Pandas.ipynb		code session 20 Pandas.ipynb
code session 21 Pandas.ipynb		code session 21 Pandas.ipynb
code session 22 Pandas.ipynb		code session 22 Pandas.ipynb
code session 3 Pandas inplace parameter.py		code session 3 Pandas inplace parameter.py
code session 4 Pandas.py		code session 4 Pandas.py
code session 5 Pandas .py		code session 5 Pandas .py
code session 6 Pandas .py		code session 6 Pandas .py
countries_by_area.txt		countries_by_area.txt
countries_clean.txt		countries_clean.txt
countries_missing.txt		countries_missing.txt
countries_raw.txt		countries_raw.txt
database.zip		database.zip
dataset session (1,2 ) Pandas weather.csv		dataset session (1,2 ) Pandas weather.csv
dataset session 14 Pandas.csv		dataset session 14 Pandas.csv
dataset session 2 Pandas part 1 B.csv		dataset session 2 Pandas part 1 B.csv
dataset session 2 Pandas part 1 Book1.csv		dataset session 2 Pandas part 1 Book1.csv
dataset session 3 Pandas INDEX.csv		dataset session 3 Pandas INDEX.csv
dataset session 3 Pandas numeric.csv		dataset session 3 Pandas numeric.csv
dataset session 5 Pandas.xlsx		dataset session 5 Pandas.xlsx
dataset session 6 Pandas.xlsx		dataset session 6 Pandas.xlsx
dataset session 7 Pandas nba.csv		dataset session 7 Pandas nba.csv
files.zip		files.zip
jamesbond.csv		jamesbond.csv
sampledata.csv		sampledata.csv
sampledata.txt		sampledata.txt

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