Machine Learning Projects - Data Science Internship Project @ Shiash Info Solutions
R2 Square ,Mean Absolute Error ,Mean Square Error ,Root Mean Square Error
Precision ,Recall ,Accuracy ,Confussion matrix ,Decision Tree ,Classification Tree
- Reimbursement Price Regression Model:
- Developed a regression model to predict reimbursement prices for specific cases.
- Multiple Linear Regression (OLS) Algorithm
- Developed a regression model to predict reimbursement prices for specific cases.
- Automobile Price Regression Model:
- Created a regression model to estimate the prices of automobiles based on various features.
- Multiple Linear Regression (OLS) Algorithm
- Created a regression model to estimate the prices of automobiles based on various features.
- Food Delivery Time Regression Model:
- Built a regression model to predict food delivery times, enhancing service efficiency.
- Multiple Linear Regression (OLS) Algorithm
- Built a regression model to predict food delivery times, enhancing service efficiency.
- Airplane Fare Regression Model:
- Designed a regression model to predict airfare prices for travelers.
- Multiple Linear Regression (OLS) Algorithm
- Designed a regression model to predict airfare prices for travelers.
- Heart Disease Classification Model:
- Developed a classification model to detect and predict heart disease based on patient data.
- Logistic Regession Algorithm
- Random Forest Regression Algorithm
- Developed a classification model to detect and predict heart disease based on patient data.
- Austria Weather Classification Model:
- Created a classification model to forecast weather conditions in Austria using
- Logistic Regession Algorithm
- Random Forest Regression Algorithm
- Created a classification model to forecast weather conditions in Austria using
- Job Details Classification Model:
- Developed a classification model to categorize job details patterns for targeted marketing strategies.
- K-means Algorithm
- Developed a classification model to categorize job details patterns for targeted marketing strategies.
- Wine Quality Classification Model:
- Created a classification model to assess and classify the quality of wine based on various attributes.
- Random Forest Regression Algorithm
- Created a classification model to assess and classify the quality of wine based on various attributes.
- Commercial Sales Regression Model:
- Built a regression model to analyze and predict commercial sales data, optimizing business strategies.
- Linear Regression Algorithm
- Random Forest Regression Algorithm
- Multiple Linear Regression (OLS) Algorithm
- Built a regression model to analyze and predict commercial sales data, optimizing business strategies.