β‘π A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries
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Updated
Aug 12, 2024 - Python
β‘π A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries
Statsmodels: statistical modeling and econometrics in Python
Speed distance model - to check the model accuracy - a supervised learning model example
Regression based ML End-to-End Project that predicts the price of the Diamond based on the given specifications. The web application is Flask REST API based and the DB used is MongoDB.
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
The Cancer Genome Atlas Pan-Cancer analysis project
BAyesian Model-Building Interface (Bambi) in Python.
Resource Utilization and Latency Estimation for ML on FPGA.
Regression Error Characteristic (REC) Curves in Python
Streamlit Web Application for Predicting ONCF Trains Occupancy Levels.
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
GUI for predicting salary based on years of experience using linear regression. Includes live demo on Replit.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Modelling and Inference of MICrobiomes Project (MIMIC) is a Python package dedicated to simulate, model, and predict microbial communities interactions
A mining model is created by applying an algorithm to data, but it is more than an algorithm or a metadata container: it is a set of data, statistics, and patterns that can be applied to new data to generate predictions and make inferences about relationships.
Developed a sophisticated house price prediction model incorporating data pre-processing, feature engineering, and Linear Regression, validated by Root Mean Squared Error (RMSE) evaluation.
As part of the UCSanDiego online course "Machine Learning Fundamentals"
This is a machine learning model for prediction of medical insurance. The dataset has been taken from kaggle.
Cryptocurrency Price Prediction using machine learning models π²π°πΈπππβΏ
A machine learning model built with scikit-learn. It predicts the score at the end of 6th over by using features such as batting_team, bowling_team, and venue
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