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anvil-sample-classification-project-with-dockert

bangalore-house-price-prediction

An end-to-end regression problem of predicting the price of properties in Bangalore.

bank-customer-churn-prediction

codehelpers

cohort-analysis

complete-deep-learning

credit-card-default-predictor

This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.

customer-segmentation

diabetes-prediction

A classification problem to predict if a patient is suffering from diabetes or not.

dockers

e-commerce-customer-churn-prediction

This is an end-to-end ML project, which aims at developing a classification model for predicting if a customer for an ecommerce business will churn or not in the following month

fake-news-detection

A simple end-to-end project on fake v/s real news detection/classification.

hr-employee-churn-detection-using-pycaret

ipl-dataset

keyword-extraction

meteorological-data

movie-recommendation-system

nlp-examples

portfolio-shruti-balan

practice

product-recommender-system-

A simple product recommender using collaborative filtering

pyspark

python-flask-docker-sample

Sample Python Flask application Dockerized

recognizing-handwritten-digits

retail-store-customer-segment-and-sales-analysis

This project looks at the sales pattern of a product category in a retail store, using the store’s transaction dataset and identifying customer purchase behavior, to generate insights and recommendations.

salary

south-german-credit-risk-classification

This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (Good or Bad). The final classifier used for this project is XGBoost classifier. Deployed in Heroku.

spam-or-ham-detection

Web-api deployed in heroku for predicting if a given message is spam or not.

sql

stock-sentiment-analysis

Objective of this project is to predict the increase or decrease in stock market prices, based on the sentiments extracted from news headlines.