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

This is a sample ML Regression Project whose web part is created by Flask and it involves AWS Deployment

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

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

As part of the UCSanDiego online course "Machine Learning Fundamentals"

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

In this project, I build 20+ models predicting Spotify song popularity. These include neural networks, Lasso and Ridge regression models. I also leverage OpenAI chat-completion API to engineer features from song lyrics.

This repository contains projects completed during during my Udacity Data Science Nanodegree course.

A collection of multiple projects involving tasks such as classification, time series forecasting , regression etc. on a number of datasets using different machine learning algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.

Developed regularization and tree-based machine learning models to predict remission status in a cohort of 5059 patients. Elastic net and Random Forest models were compared on F1 scores accuracy, sensitivity, specificity, and AUC ROC.

Approach to some basic Machine Learning Techniques.

Predictive Analytics for Real Estate Investment: A Regression Model Approach for Surprise Housing in the Australian Market using Regularization methods (Ridge and Lasso)

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

Regression models(lasso, ridge, DT) using NumPy.

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

Forest Fire Data

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.

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