Machine Learning Repository README
This repository consist of all solutions to the real life problems solved using various Machine Learning Techniques. You would find the problem statments of specific dataset in the respective readme files. I have written about the algorithms I have used in that notebook in the readme file as well. I have uploaded the data needed for machine learning or have given the right links to where you can find them. Your doubts and suggestions are most welcomed. You can drop a mail for the same.
- Linear Regression
- Ridge, Lasso and Elastic-Net Regression
- Logistic Regression
- Support Vector Classifier and Regressor
- Decision Tree Classifier and Regressor
- Random Forest Classifier and Regressor
- Gradient Boost Classifier and Regressor
- XgBoost Classifier and Regressor
- Bagging Classifier and Regressor
- Voting Classifier
1. 🔥 Algerian Forest Fires Linear Regression
-Algerian Forest Fires Dataset Linear Regression
2. 🔥 Algerian Forest Fires Logistic Regression
-Algerian Forest Fires Dataset Logistic Regression
3. 👨👨👦👦 Census Income Classification
-| LogisticRegression | DecisionTreeClassification | RandomForestClassification | BaggingClassification | ExtraTreeClassification | VotingClassification |
-| LogisticRegression | SVC Kernels - rbf, poly, sigmoid |
4. ⚡🏘 Household Power Consumption Regression
-| LinearRegression | DecisionTreeRegression | RandomForestRegression | BaggingRegression | ExtraTreeRegression | VotingRegression |
-| LinearRegression | LassosRegression | RidgeRegression | ElasticRegression | SVR |
5. 🚒APS Faliure Scania Trucks Classification -APS Faliure Scania Trucks Classification All