Machine Learning Projects

Regression Models

1. Simple and Multiple Linear Regression

• Housing Price Prediction Model
  Predict housing prices in California using regression techniques.

• CO2 Emission Prediction Model
  Predict CO2 emissions from vehicles based on engine characteristics.

2. Decision Tree Regression

• Real Estate Price Prediction Model
  The model predicts the median price of real estates.

• Taxi Tip Prediction Model
  The model predicts the amount of tip paid. Link to Dataset

---

Classification Models

1. K-Nearest Neighbors (KNN)

• Customer Service Tier Prediction Model
  Classify customer service tiers using the KNN algorithm.

• Customer Segmentation Model
  Classify customers using the KNN algorithm.

2. Decision Tree

• Drug Prediction Model
  Predict which drug should be prescribed to a patient based on medical features.

3. Support Vector Machine(SVM) & Decision Tree

• Credit Card Fraud Detection Model
  The model predicts if a credit card transaction is fraudulent or not. Link to Dataset

4. Logistic Regression

• Telecommunication Customer Churn Prediction Model
  The model predict customer churn in the telecommunication company based on customer features.

5. SVM (Support Vector Machines)

• Cancer Cell Detection Model
  The model classify cells to whether the samples are benign or malignant.

6. Softmax(Multinomial Logistic) Regression | One vs All (One vs Rest) and One vs One

7. GridSearchCV (Hyperparameter Tuning Technique)