absenteeism-time-in-hours

Predicting Absenteeism time in hours using ML

ai-serpapi-search

Claude by Anthropic and SerpAPI to create a dynamic chatbot. Seamlessly switch to web search for enhanced user experiences. Open source and extensible.

airline_management_system

Airline Management System is a java-based application that allows a user to access passenger's details, flight details and flight booking details.

amazon-product-data-extractor

askyourpdf

automobile-dataset-analysis

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

barcelona-airbnb

Exploring Airbnb data in Barcelona, 2016-17. Identified price trends for listings and created a regression model to predict listing price

big_data_analytics

This repository covers essential tools for big data analytics with python, including but not limited to pandas, pandasql, spark, AWS EMR cluster, sklearn, spark ML, and MxNet for deep learning.

chicrime-data-insights

crop_sowing_prediction

In this project we will use machine learning model to predict the type of crop farmer should sow on the basis of factors like season,pH value,temperature,humidity,rainfall,yield,water using KNN Algorithm

cs580-social_media_data_science_pipeline

e-commerce-inventory-comparison-automation

Channel Spyder: E-commerce automation framework for streamlined inventory management. Automated daily comparisons, reducing manual effort by 2 hours/day. Python, Pandas, Selenium, Beautiful Soup, Slack APIs.

fahadrazzaq

fishing-paper-info

learning-management-system

logistic-regression-using-tensorflow

Implementation of Logistic Regression (predict a image is of chair-recliner or not) using Tensorflow

loss-order-trigger

mat243-applied-statistics-for-stem-i

PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)

order-report-comparator-tool

predict-sales-revenue-using-multiple-regression-model

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

prism

Cendrowska's PRISM algorithm

python-time-series

Simple Moving Averages, Exponential Weighted Moving Averages, ETS (Error, Trend & Seasonality) Decomposition, ARIMA, and SARIMAX

pythonsp500

Repository for Python SP 500 blog post

slot_filling_and_intent_detection_of_slu

slot filling, intent detection, joint training, ATIS & SNIPS datasets, MIT corpus, ELMo, BERT, XLNet

xzceb-flask_eng_fr

flask_enf_fr