Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes

线性回归；病态线性回归；聚类分析； 主成分分析 ； 多目标决策

This is all Data Science Assignments Files. I am currently working on it, so you may not find some files here.

An algorithm intended to predict the yield of any crop. Used Agricultural Data sets for building the Step-wise Regression Model. Technology Stack: R language, SQL, Linear Regression library, Plumber library, Swagger API

An intelligent machine learning application that predicts student exam scores and provides personalized recommendations for academic improvement using advanced AI and data analytics.

这是一个线性规划的算法，由python编写而成

Data visualisation using seaborn

Tutorials of Machine Learning in Jupyter Notebooks

Machine learning Basics. Just Started learning and uploading small chunk of codes and small projects .

I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just used NumPy.

📚📝 Types of Ml algos

Codes and Project for Machine Learning

Pysprak

This repository contains many machine learning topics and projects

Blockchain for Waste Management in Smart Cities

Supervised and Unsupervised Algorithm implimentation on cleaned and preprocessed data

📈 💱 Linear Regression Forecasting Exchange Rates

ML projects, which I worked on utilising different machine learning algorithms.

Demonstration of asymmetric cost functions in Linear Regression

This project aims to predict medical insurance costs based on demographic and lifestyle factors using supervised machine learning models. The focus is on building an interpretable and deployable prediction system with a Streamlit dashboard.