GitHub - PrudhviGNV/Internship-work---ml-and-dl-intern-at-smartbridge: # Internship work

Internship Work

It consists of following segments :
00. Exploratory Data Analysis and visualization

The datasets here are small and manually prepared and targeted only for learning and experimenting purpose.

Feel free to download and fork this repo. Happy learning :)

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
10. Deployment-flask		10. Deployment-flask
Data Sets		Data Sets
00 .Exploratory+Data+Analysis.ipynb		00 .Exploratory+Data+Analysis.ipynb
01. Missing+Values+Treatment.ipynb		01. Missing+Values+Treatment.ipynb
02. Working-with-Outliers.ipynb		02. Working-with-Outliers.ipynb
03. Linear+Regression.ipynb		03. Linear+Regression.ipynb
04. Polynomial-Regression.ipynb		04. Polynomial-Regression.ipynb
05. Classification.ipynb		05. Classification.ipynb
06. Decision Tree-Random-Forest-Regression.ipynb		06. Decision Tree-Random-Forest-Regression.ipynb
07. Supervised Classification.ipynb		07. Supervised Classification.ipynb
08. K-Means Clustering.ipynb		08. K-Means Clustering.ipynb
09. K-Means-Clustering-for-Loan-Prediction.ipynb		09. K-Means-Clustering-for-Loan-Prediction.ipynb
10. Deployment-flask.rar		10. Deployment-flask.rar
11. ANN Classifier.ipynb		11. ANN Classifier.ipynb
11. Ann Classifier.py		11. Ann Classifier.py
11. Ann.ipynb		11. Ann.ipynb
12. CNN - Dog or cat Classification.ipynb		12. CNN - Dog or cat Classification.ipynb
13. ANN_50_startups.ipynb		13. ANN_50_startups.ipynb
14. NLP -Sentiment Analysis.ipynb		14. NLP -Sentiment Analysis.ipynb
README.md		README.md