Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

House Price Prediction can help the customer to arrange the right time to Purchase a House. It is An - ML based Approach which Predicts the Estimated Price of Housing in Mumbai City.

Gemstone Price Prediction - End to End ML Project with AWS deployment

Data Models in R for Multiple Linear Regression and three models (Ridge, Lasso, and Elastic-Net), to predict Medicare claim costs of Type 2 diabetes patients with other diagnoses. We used Data from Entrepreneur’s Medicare Claims Synthetic Public Use Files (DE-SynPUFs) for our analysis.

Metis project 2/7

Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.

Practical Implementation of Linear Regression on Boston Housing Price Prediction

In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets

A small project addressing a regression problem explains implementation of multiple linear regression techniques, hyperparameter tuning, collinearity, model overfitting and complexity using LASSO, Ridge and Elastic net

Forest Fire Data

This is First Project of Machine Learning by me

Model Building and Testing using Ridge, Lasso and ElasticNet Methods

Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course

In this project we are predicting the closing price of stocks by regression models

Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.

Exploring World Development Indicators: Identifying relationship between Health Indicators using Linear Regression & Classification of Income Group based on Health Indicators using Logistic Regression.

[2024 KGU CSE Advanced Capstone Design🌱] A service that utilizes AI and Seoul city data to provide customized convenience functions to users looking for popular destinations in Seoul. (TEAM3-피어나)