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
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
Data visualisation using seaborn
Tutorials of Machine Learning in Jupyter Notebooks
Codes and Project for Machine Learning
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.
Machine learning Basics. Just Started learning and uploading small chunk of codes and small projects .
📚📝 Types of Ml algos
This repository contains many machine learning topics and projects
📈 💱 Linear Regression Forecasting Exchange Rates
Supervised and Unsupervised Algorithm implimentation on cleaned and preprocessed data
Blockchain for Waste Management in Smart Cities
ML projects, which I worked on utilising different machine learning algorithms.
Here the basic of the the Linear regression problem .
Demonstration of asymmetric cost functions in Linear Regression
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