AI and ML
-
Updated
Sep 20, 2021 - Jupyter Notebook
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…
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.
Statistical Methods using R Programming
Demonstration of asymmetric cost functions in Linear Regression
Here the basic of the the Linear regression problem .
Tracking the sleeping schedule and calorie intake of a person based on hours spent on OTT(Over-the-top)
Analyzing prototype suspension coils data for production troubles.
Stock price prediction is a crucial aspect of financial markets, involving the use of mathematical models and machine learning techniques to forecast the future price movements of stocks or financial assets.
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
Statistical analysis of MechaCar vehicles and a study designed to compare the MechaCar vehicles to competitors.
Data Analysis and Machine Learning Projects
Notebooks explaining various Machine Learning concepts.
This project is implement ML algorithms like : KNN, GD, normal equation...
A basic model using Linear Regression to predict car price
Add a description, image, and links to the liner-regestion topic page so that developers can more easily learn about it.
To associate your repository with the liner-regestion topic, visit your repo's landing page and select "manage topics."