Skip to content
/ Eclipse Public

Eclipse is an open source web application designed by me to teach Python preprocessing, Machine Learning & Deep Learning from scratch.

1 star 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

Ninad077/Eclipse

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
.ipynb_checkpoints
.ipynb_checkpoints
 
 
.streamlit
.streamlit
 
 
Null
Null
 
 
__pycache__
__pycache__
 
 
cars_data
cars_data
 
 
dataset/dataset
dataset/dataset
 
 
fish_dataset_updated
fish_dataset_updated
 
 
images
images
 
 
pages
pages
 
 
risk_analytics
risk_analytics
 
 
style
style
 
 
Artificial_Neural_Networks.html
Artificial_Neural_Networks.html
 
 
Artificial_Neural_Networks.ipynb
Artificial_Neural_Networks.ipynb
 
 
CNN.html
CNN.html
 
 
CNN.ipynb
CNN.ipynb
 
 
Day1_Python_basics.html
Day1_Python_basics.html
 
 
Day1_Python_basics.ipynb
Day1_Python_basics.ipynb
 
 
Decision_Tree.html
Decision_Tree.html
 
 
Decision_Tree.ipynb
Decision_Tree.ipynb
 
 
EDA.html
EDA.html
 
 
EDA.ipynb
EDA.ipynb
 
 
Eclipse_logo.png
Eclipse_logo.png
 
 
Hierarchical_clustering.html
Hierarchical_clustering.html
 
 
Hierarchical_clustering.ipynb
Hierarchical_clustering.ipynb
 
 
Home.py
Home.py
 
 
Jupyter_Intro.html
Jupyter_Intro.html
 
 
Jupyter_Intro.ipynb
Jupyter_Intro.ipynb
 
 
KNN.html
KNN.html
 
 
KNN.ipynb
KNN.ipynb
 
 
K_means.html
K_means.html
 
 
K_means.ipynb
K_means.ipynb
 
 
Linear_Regression.html
Linear_Regression.html
 
 
Linear_Regression.ipynb
Linear_Regression.ipynb
 
 
LogReg.html
LogReg.html
 
 
Logistic_Regression.ipynb
Logistic_Regression.ipynb
 
 
Logistic_regression.html
Logistic_regression.html
 
 
Mall_Customers.csv
Mall_Customers.csv
 
 
NLP_RASA.html
NLP_RASA.html
 
 
NLP_RASA.ipynb
NLP_RASA.ipynb
 
 
NLP_Tfidf.html
NLP_Tfidf.html
 
 
NLP_Tfidf.ipynb
NLP_Tfidf.ipynb
 
 
Ninad_photo.jpeg
Ninad_photo.jpeg
 
 
Null.zip
Null.zip
 
 
Null_value.html
Null_value.html
 
 
Null_value.ipynb
Null_value.ipynb
 
 
Outliers_and_Correlation.html
Outliers_and_Correlation.html
 
 
Outliers_and_Correlation.ipynb
Outliers_and_Correlation.ipynb
 
 
Python_basics.html
Python_basics.html
 
 
Python_basics.ipynb
Python_basics.ipynb
 
 
README.md
README.md
 
 
Salaries.csv
Salaries.csv
 
 
Salaries_new.csv
Salaries_new.csv
 
 
Salaries_new.xlsx
Salaries_new.xlsx
 
 
Sample_Superstore.xlsx
Sample_Superstore.xlsx
 
 
Sentiment_analysis.html
Sentiment_analysis.html
 
 
Sentiment_analysis.ipynb
Sentiment_analysis.ipynb
 
 
Supervised_Machine_Learning.py
Supervised_Machine_Learning.py
 
 
Support_Vector_Machine_(SVM).html
Support_Vector_Machine_(SVM).html
 
 
Support_Vector_Machine_(SVM).ipynb
Support_Vector_Machine_(SVM).ipynb
 
 
Time_series_analysis.html
Time_series_analysis.html
 
 
Time_series_analysis.ipynb
Time_series_analysis.ipynb
 
 
Unsupervised_Machine_Learning.py
Unsupervised_Machine_Learning.py
 
 
adult_new.csv
adult_new.csv
 
 
advertising.csv
advertising.csv
 
 
app.py
app.py
 
 
cars_data.zip
cars_data.zip
 
 
dataset.rar
dataset.rar
 
 
dataset.zip
dataset.zip
 
 
fish_dataset_updated.zip
fish_dataset_updated.zip
 
 
google_review_ratings.csv
google_review_ratings.csv
 
 
mtcars.csv
mtcars.csv
 
 
mtcars.xlsx
mtcars.xlsx
 
 
pima-indians-diabetes.csv
pima-indians-diabetes.csv
 
 
requirements.txt
requirements.txt
 
 
risk_analytics.zip
risk_analytics.zip
 
 
risk_analytics_test.csv
risk_analytics_test.csv
 
 
risk_analytics_train.csv
risk_analytics_train.csv
 
 
tips.csv
tips.csv
 
 
train.csv
train.csv
 
 

Repository files navigation

Eclipse is an open source web application designed by me to teach Python preprocessing, Machine Learning & Deep Learning from scratch. To visit the website use this link: https://eclipse.streamlit.app/

About

Eclipse is an open source web application designed by me to teach Python preprocessing, Machine Learning & Deep Learning from scratch.

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages