RudrenduPaul/Python-based-Text-Analysis-of-San-Francisco-311-non-emergency-service-requests RudrenduPaul/Python-based-Text-Analysis-of-San-Francisco-311-non-emergency-service-requests

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
RudrenduPaul/Python-based-Text-Analysis-of-San-Francisco-311-non-emergency-service-requests
github

RudrenduPaul

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Data Mining for better resource allocation to better serve San Francisco 311 non-emergencies

More Repositories

1

Python-Ecommerce-recommendation-system-using-machine-learning

Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendation system after the website has collected significant product reviews
Jupyter Notebook
76
star
2

Python-Customer-segmentation-and-consumer-behavior-analysis-using-machine-learning

Segmenting consumer based buying behavior and applying 80/20 rule to identify top customers/products/geographic locations driving 80% of total $ sales
Jupyter Notebook
9
star
3

Bank-marketing-campaign-Application-of-machine-learning-in-python-to-boost-marketing-campaign-ROI

Machine learning techniques to identify customers with high response rate to increase marketing campaign ROI
Jupyter Notebook
3
star
4

Support-Vector-Machine-SVM-for-Predicting-Stock-Market-Daily-Trend

SVM Applied to predict S&P500 Trend
2
star
5

Artificial-Neural-Network-ANN-for-Marketing-Campaign-for-National-Bank-in-Portugal

Artificial Neural Network applied to improve Marketing ROI
2
star
6

Artificial-Neural-Network-ANN-for-Predicting-Heart-Attacks

SVM applied to Healthcare Industry for early preventive action
1
star
7

Apache-Spark-Pyspark-predict-wine-rating

Using Pyspark on Apache Spark to analyze and predict wine ratings
Jupyter Notebook
1
star