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
Tracking the sleeping schedule and calorie intake of a person based on hours spent on OTT(Over-the-top)
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.
Data visualisation using seaborn
Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類
线性回归;病态线性回归;聚类分析; 主成分分析 ; 多目标决策
📈 💱 Linear Regression Forecasting Exchange Rates
This is all Data Science Assignments Files. I am currently working on it, so you may not find some files here.
AI and ML
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.
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…
📚📝 Types of Ml algos
Detecting Payment Card Fraud -supervised learning using SageMaker built-in LinearLearner estimator
An app which can predict the prices of house based on training data and certain input parameters, deployed on Heroku.
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.
Statistical Methods using R Programming
Codes and Project for Machine Learning
Demonstration of asymmetric cost functions in Linear Regression
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