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
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
Machine learning Basics. Just Started learning and uploading small chunk of codes and small projects .
This repository contains many machine learning topics and projects
📈 💱 Linear Regression Forecasting Exchange Rates
Tutorials of Machine Learning in Jupyter Notebooks
AI and ML
Detecting Payment Card Fraud -supervised learning using SageMaker built-in LinearLearner estimator
This classifier web app basically developed using Streamlit (Python - framework) and it classifies the categories of "Diabetic" or "Not Diabetic" based on certain input parameters. In this app, we can choose different classifiers like; SVM, RandomForest, GridSearch, Logistics Regression, for the classification.
An app which can predict the prices of house based on training data and certain input parameters, deployed on Heroku.
Demonstration of asymmetric cost functions in Linear Regression
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