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airline-passenger-traffic-forecasting

Build models for forecasting Airline passenger traffic by utilizing several algorithms for time series analysis.

assignment-04-simple-linear-regression-1

Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

covid-19-detection

COVID-XRay-Detection: Leveraging deep learning and medical imaging, this project utilizes a CNN model to achieve 97% accuracy in classifying COVID-19 patients based on X-ray images. The trained model is deployed on Streamlit, providing real-time predictions. Join the fight against COVID-19 with AI-powered diagnostics.

eta-model-for-food-delivery

This repository contains the code for an ETA (Estimated Time of Arrival) model in a food delivery project. It utilizes machine learning algorithms to predict accurate delivery times based on various factors such as distance, traffic, and historical data. Enhance your food delivery service by implementing this model for reliable ETA estimations.

gold-price-prediction

"Utilizing machine learning, this project predicts gold prices using historical data. The model achieves accurate price forecasts, aiding investors in decision-making. The repository includes code, dataset, and comprehensive documentation. Enhance your understanding of time series forecasting and empower financial analysis."

house-price-prediction

House Price Prediction: Utilizing machine learning algorithms and regression techniques, this project predicts house prices based on various features like location, size, and amenities. Achieving accurate predictions, it aids buyers, sellers, and real estate agents in making informed decisions.

introduction-basic-of-python

ipl-data-analysis

This GitHub repository contains a comprehensive data analysis project on the Indian Premier League (IPL) spanning from 2008 to 2022. The IPL is one of the most popular professional Twenty20 cricket leagues in the world, featuring teams representing cities in India.

liver-disease-prediction

Liver Disease Prediction: Developed a machine learning model to predict the presence of liver disease using clinical and laboratory data. Achieved high accuracy and deployed the model for easy access. Help healthcare professionals in early detection and intervention. #MachineLearning #Healthcare #LiverDisease

ph_tess_i_lightcurveviewer

Planet Hunters TESS Lightcurve viewer

sentiment-analysis

Sentiment Analysis using NLP: This project utilizes natural language processing techniques to analyze sentiment in text. Achieved high accuracy in classifying sentiment as positive, negative, or neutral. Implemented with Python, NLTK, and scikit-learn. Valuable for understanding customer feedback and opinion mining.