Know-Genius an AI Chatbot who's a General Knowledge Genius!

Forecasting daily electricity consumption 💡 with Portuguese weather data on precipitation 🌧️ and temperature 🌡️

Run three different classification algorithms for explaining whether region's economies grew by more than 5% based on the data provided. Standard goodness measures for classification algorithms also included.

A Python-based semantic search system to find relevant transcript chunks based on user queries. Supports TF-IDF and Hugging Face LLM (llm2) search methods, with a Streamlit web interface and CLI for interactive querying. Outputs results in the format [timestamp], <chunk> and logs them to output/output.txt.

Implementation of Support Vector Machine, and Random Forest Model using sklearn

KMeans Clustering of data using Sklearn library, numpy and Pickle data

Dummy TSA Forecast dashboard using statsmodel, sklearn and streamlit

A Prophet-based model analyzing construction project delays using external regressors, forecasting delays, and predicting final completion dates.

Univariate Linear Regression using sklearn on Diabetes Dataset

A Machine Learning web application built with **Streamlit** that predicts whether a breast tumor is **Benign** or **Malignant** based on cell nuclei measurements.

reads y_pred and y_true columns from file entities_f1.csv, and then prints output of classification_report function from sklearn.metrics library

This github repository contains practice assignments on Python !

Brain Tumor Classification Using YOLOv8

Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).