My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
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Updated
May 26, 2022 - Jupyter Notebook
My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
Regression Machine Learning Project
Project 2 Group C - Predicting FinTech Bootcamp Graduate Salaries
Laptop price prediction model using XGB, Ridge, Lasso and SciKit-learn's Linear Regression. In the end, I deployed the best one using Joblib and Gradio.
Genetic assignment of individuals to known source populations using network estimation tools.
Predicting house price
LeastSquare is a web application developed with the objective of predicting the price of used cars. The project follows the life cycle of a data science project and incorporates various tools and techniques such as machine learning, regression analysis, linear regression, polynomial regression, Lasso regression, Ridge regression, and Streamlit.
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.
"Learning R for data scientists." This phrase describes the process of acquiring the skills and knowledge necessary to use the R programming language for data analysis.
Kaggle challenge asking to predict the final price of each home based on their description/properties.
Metis project 2/7
A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets
Advanced Regression model on Housing Data from Australia for my Upgrad - IIITB AI ML PG Course
NYU CSCI-GA 3033 Final Project
ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection
Practical Implementation of Linear Regression on Boston Housing Price Prediction
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
Analysis and Modelling data from King county housing data
A repository containing machine learning projects and models.
This is a project developed as part of the Foundations of Data science course at New York University
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