Smart Agriculture Using Sensors and Ai

This predicts the future energy demand by using a Multivariate LSTM (Long Short Term Memory) Model i.e. (a kind of Recurrent Neural Network) by considering environmental & time series factors.

A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!

Covid-19 Sentimental Analysis of Twitter Dataset using Python and Tweepy Library

Simple Fed minutes analysis. My first application of NLP

Python-based analysis of the U.S. data analyst job market, exploring in-demand and high-paying skills with clean data processing and visualizations.

This is the Machine Learning(ML) based System which predicts the possibility of a heart attack based on the previous datasets which consists the following variables such as age ,sex ,blood pressure ,cholesterol ,obesity ,etc. The exploratory data analysis of these parameters plays a vital role in the precision of the model.

Determined with genetic algorithm

Covid-19 Report Generator

A physics simulator of bouncing cubes.

60-70% of the time ML model building workflow is consumed in data preparation. Aim of this repo is to get an introduction to how can you clean and transform your raw data.

This repo showcases a self-guided project that explores and analyzes the Nobel Prize Database using Python's data analysis and visualization libraries such as NumPy, Seaborn, and Pandas.

Multiple ML Model