Smart city system using Raspberry Pi and python, Worked in a team to code and create a smart city and implemented some applications using Raspberry Pi to create a sustainable and efficient city., Learned integrating multiple components of a project., Working with sensors, collecting, and analyzing data., Implemented Weather forecast of the city and predicting the weather., Run Smart Parking system, Smart garbage disposal system., Traffic lights and streetlights that work when body heat is detected., https://github.com/Gurixnder/Smart_City Quality of Ore Predictor, It is a machine learning model that predicts the quality of an iron ore by detecting the amount of impurities (silica) in an ore. The data used in this project is from a real-world dataset. It uses regression models to solve the problem., Processing data to make it suitable for analyzing., Data analysis of all the independent and dependent variables through finding correlations between them., Visualization of data using histograms, plots and heatmap., Standardization of data for better training of the model., Finding the right model and training it. Also, testing its accuracy., https://github.com/Gurixnder/Iron_ore_Quality Analytics dashboard, Created a business analytics website that tracks the performance of the drivers working an “Intelcom” warehouse using HTML, CSS, JavaScript, jQuery, PHP., Helped me gain knowledge in handling databases and running queries., Consists of a login system that allows users to create an account and sign in to perform tasks later., A Driver’s performance is calculated daily based on the packages delivered., Performances are displayed using graphs. Student Performance Predictor, A Machine Learning project that uses linear regression to predict a student’s performance in an upcoming exam and is run on a simple website., Improved understanding of the process of training a ML model., Working with DataFrames and data science libraries like pandas and NumPy., The system is trained using multiple linear regression., The website is made using streamlit where a student inputs the data needed to get the predicted marks., https://github.com/Gurixnder/Student-Performance-Predictor