Hi 👋 My name is Nicola Ricciardi, i'm studying to become a Machine Learning Engineer. 😃
- Programming Language:
- Python
- Framework:
- Numpy
- Pandas
- Matplotlib
- Udemy-> Machine Learning A-Z: AI & Python
- Instructors: Kirill Eremenko, Hadelin de Ponteve
- Topic Covered:
- Data Preprocessing
- Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
- Topic To Be Covered:
- Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
- Clustering: K-Means, Hierarchical Clustering
- Association Rule Learning: Apriori, Eclat
- Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
- Natural Language Processing: Bag-of-words model and algorithms for NLP
- Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
- Dimensionality Reduction: PCA, LDA, Kernel PCA
- Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
- Topic Covered:
- Instructors: Kirill Eremenko, Hadelin de Ponteve
My GitHub Languages