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.
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.
Regression Machine Learning Project
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
Genetic assignment of individuals to known source populations using network estimation tools.
Predicting house price
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
Practical Implementation of Linear Regression on Boston Housing Price Prediction
Analysis and Modelling data from King county housing data
ML | Regression Analysis| Random Forest| XGBoost| Gradient Boost| EDA| Feature Engineering| Feature selection
Built a Gradient Boosting model by employing Lasso Regularization and Hyper-parameter tuning
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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