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

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.

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

Univariate Linear Regression using sklearn on Diabetes Dataset

This github repository contains practice assignments on Python !

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

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).

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

Brain Tumor Classification Using YOLOv8