mohdsaqibhbi/QSR-Customer-Analysis

Stars
2
Language
Jupyter Notebook
License
MIT License
Created almost 3 years ago
Updated almost 3 years ago

mohdsaqibhbi/QSR-Customer-Analysis

mohdsaqibhbi

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

QSR Customer Analysis majorly includes - Customer Segmentation, Churn Prediction, Channel vulnerability.

easy_images

Download hundreds of images from Google. Do image post processing later.

Inference_on_facenet_pytorch

Inferencing on facenet model implemented in pytorch.

Jupyter Notebook

Anomaly_Detection

Anomaly detection using multivariate gaussian.

Jupyter Notebook

License_plate_detection

A model that can detect the license plate of a vehicle.

Jupyter Notebook

Generate_text_image

Generating an image of words in a given string using wordcloud module.

Movie_recommendation

A Movie Recommendation system using collaborative filtering.

Jupyter Notebook

scraping_JobDesc

Scraping Job Descriptions with experience level filter from indeed.com

Image_augmentation_using_Keras

Doing image augmentation on MNIST dataset using Keras.

Jupyter Notebook

End_to_End_Regression

An end to end regression problem on real data.

Jupyter Notebook

ScratchML

Implementation of Machine Learning Algorithms from scratch.

Jupyter Notebook

How-to-build-Python-Package

How to build a Python Pip package.

Sentiment_analysis

Sentiment_analysis using torchtext and pytorch Bi-LSTM

Jupyter Notebook

Custom-object-detection-using-Nvidia-TLT-kit-and-Deepstream

Training a custom object detection (DetectNet_v2) model on our own dataset using Nvidia Transfer Learning Toolkit (TLT-kit) and AWS GPU instance and inferencing it on Jetson nano device using Deepstream.