🚀 Machine Learning projects

Here are the Machine Learning projects I have worked on, where I aimed to cover a variety of important machine learning algorithms:

Classification Problems:

• Logistic Regression
• Naïve Bayes
• Support Vector Machine
• Decision Tree
• Random Forest
• Neural Network
• Nearest Neighbour
• K-Means Clustering
• Principal Component Analysis (PCA)
• Gradient Boosting
• AdaBoost
• XGBoost
• Random Forest Classifier
• K-Nearest Neighbors (KNN) Classifier
• Gaussian Naive Bayes
• Decision Tree Classifier
• Support Vector Machines (SVM) Classifier
• Neural Network (Deep Learning) Classifier
• XGBoost
• Random Forest Classifier
• K-Nearest Neighbors (KNN) Classifier
• Gaussian Naive Bayes
• Decision Tree Classifier
• Support Vector Machines (SVM) Classifier
• Neural Network (Deep Learning) Classifier

Regression Problems:

• Linear Regression
• Neural Network Regression
• Ridge Regression
• Lasso Regression
• Elastic Net Regression
• Decision Tree Regression
• Random Forest Regression
• Support Vector Machines (SVM) Regression
• Gradient Boosting Regression
• XGBoost Regression
• Neural Network (Deep Learning) Regression

Hyperparameter tuning

Hybrid modeling