Big Data Analysis Class

To get the notes please use the following command:

git pull https://github.com/atwine/ace-class-notes.git

The necessary libaries to use in these classes

1- Numpy 2- Pandas 3- Sklearn 4- Matplotlib 5- Seaborn

To contribute to the notes repo, please first fork it to your repository or create a branch to be able to push your updates.

Name		Name	Last commit message	Last commit date
Latest commit History 60 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Assignment Colab		Assignment Colab
Current Platforms of AI and ML		Current Platforms of AI and ML
Data		Data
DataCamp_-_Track_-_Data_Scientist_with_R_-_Course_03_-_Introduction_to_the_Tidyverse		DataCamp_-_Track_-_Data_Scientist_with_R_-_Course_03_-_Introduction_to_the_Tidyverse
Reading Material		Reading Material
Thur 20 Feb		Thur 20 Feb
pandas_exercises		pandas_exercises
.Rhistory		.Rhistory
.gitignore		.gitignore
Dimensionality_Reduction_DataCamp.ipynb		Dimensionality_Reduction_DataCamp.ipynb
Eva Akurut.final.ipynb		Eva Akurut.final.ipynb
Jupiter Marina.ipynb		Jupiter Marina.ipynb
README.md		README.md
handin_5.csv		handin_5.csv
sample_handin.csv		sample_handin.csv

atwine/ace-class-notes