Machine Learning Implementations

Collection of machine learning implementations developed while studying and experimenting with supervised, unsupervised and deep learning techniques.

Topics

• Linear Regression
• Polynomial Regression
• SVR
• Decision Trees
• Random Forest
• SVM
• KNN
• Naive Bayes
• K-Means
• Hierarchical Clustering
• Apriori
• NLP
• ANN
• CNN
• PCA
• LDA
• Kernel PCA

Tools

Python NumPy Pandas Scikit-learn TensorFlow/Keras Matplotlib