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  1. Concrete-Strength-Prediction Concrete-Strength-Prediction Public

    This project focuses on predicting the compressive strength of concrete, a critical property in construction, using a polynomial regression model.

    Jupyter Notebook

  2. Customer-Segmentation-Using-K-Means-Clustering Customer-Segmentation-Using-K-Means-Clustering Public

    In this project, we will use the K-Means clustering algorithm to segment customers based on their purchasing behavior and other relevant features.

    Jupyter Notebook

  3. House-Prices-Prediction House-Prices-Prediction Public

    The dataset used in this project is sourced from the Kaggle competition "House Prices: Advanced Regression Techniques". It includes 79 explanatory variables describing various aspects of residentia…

    Jupyter Notebook

  4. Mushroom-Classification- Mushroom-Classification- Public

    This project focuses on classifying mushrooms as edible or poisonous using a classification model. The dataset contains various features of mushrooms that can help determine their edibility. The go…

    Jupyter Notebook

  5. Salary_Prediction Salary_Prediction Public

    I found this data on kaggle and I use it to predict the salary baisd on some features and here are the explnation that the owner provided.

    Jupyter Notebook

  6. Telco-Customer-Churn-Prediction Telco-Customer-Churn-Prediction Public

    The Telco Customer Churn dataset contains information about a telecommunications company's customers and their subscription details. The dataset is used to predict whether a customer will churn (le…

    Jupyter Notebook