Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes
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Updated
Feb 6, 2021
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
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
This is all Data Science Assignments Files. I am currently working on it, so you may not find some files here.
📚📝 Types of Ml algos
Data visualisation using seaborn
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.
Codes and Project for Machine Learning
This repository contains many machine learning topics and projects
📈 💱 Linear Regression Forecasting Exchange Rates
Machine learning Basics. Just Started learning and uploading small chunk of codes and small projects .
Tutorials of Machine Learning in Jupyter Notebooks
AI and ML
Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, I will try to give you basic ideas of underlying concepts with the help of practical examples. If you are s…
EDA analysis and a couple of models from classical machine learning on actual data as of 12.07.2023 about video games. Dataset from kaggle link in readme.
Simple salary prediction using machine learning models.
Detecting Payment Card Fraud -supervised learning using SageMaker built-in LinearLearner estimator
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