GitHub - sateesh12/bin_utils: Machine Learning

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 72 Commits
dbus		dbus
AQI_Analysis.ipynb		AQI_Analysis.ipynb
Automobile_EDA.ipynb		Automobile_EDA.ipynb
Automobile_data.txt		Automobile_data.txt
DT_Abelone_Gender_Predictions.ipynb		DT_Abelone_Gender_Predictions.ipynb
ImageProcessing.ipynb		ImageProcessing.ipynb
Iris.ipynb		Iris.ipynb
LICENSE		LICENSE
Logistics_Regression.ipynb		Logistics_Regression.ipynb
NLP-play-ground.ipynb		NLP-play-ground.ipynb
PipeLineController.py		PipeLineController.py
README		README
Random_Forest_Abelone_Gender_Predictions.ipynb		Random_Forest_Abelone_Gender_Predictions.ipynb
Titan_ML_Submission.ipynb		Titan_ML_Submission.ipynb
dto_human_landmark.py		dto_human_landmark.py
fun_with_python.ipynb		fun_with_python.ipynb
iris.csv		iris.csv
landmark-based-depth.py		landmark-based-depth.py
measure-time.py		measure-time.py
ridge-run-docker		ridge-run-docker
snapshot.py		snapshot.py
system-test-scaffolding.py		system-test-scaffolding.py
zodiac.json		zodiac.json
zodiac_finder.py		zodiac_finder.py

Repository files navigation

This is a collection of Python Jupyter notebooks which are written by me as a part of the UpX program on Machine learning course.

The different files and their purpose of existence is as follows in Alphabetical order.

1.AQI_Analysis.ipynb = This does linear regression model development for the Air Quality Index data-set

2.Automtobile_EDA.ipynb = This is an example of EDA analysis for the Automobile data-set, the data set can be found as Autombile_data.txt

3. DT_Abelone_Gender_Prediction.ipynb = Decision Tree model for the Gender prediction of Classification problem.

4. Iris.ipynb = Another Linear Regression model to predict the Sepal Length with the Iris data-set

5. Logistics_Regression.ipynb = A logistic linear regression for Gender prediction.

6. Random_Forest_Abelone_Gender_Prediction.ipynb = A logistic regression model for Gender predecition but using Random Forest.

7.Titan_ML_Submission.ipynb = Titan ML challenge submission code.


Other Utility files:
1. snapshot.py = A small Python code to capcture screen shots from meetings without having to manually  print screen, copy to image file.