## Machine Learning

### Reference Jupyter Notebooks

### ML Articles

- What is Boosting in Ensemble Learning
- What is Bagging in Ensemble Learning
- A complete guide to Principal Component Analysis – PCA in Machine Learning
- Step by step approach to Principal Component Analysis Using Python
- A Complete guide to k-nearest-neighbors algorithm KNN-using-python
- Basic-Statistics-For-Data-Science
- Measures of Variability and Spread: Variance and Standard Deviation
- Conditional Probability for Data Science and its visualization using Probability tree
- Importance of Bayes’ Theorem in Data Science and Machine Learning
- What is Linear Regression? Part: 1
- What is Linear Regression? Part: 2
- What is Logistic Regression
- Co-variance and Correlation
- What is the Coefficient of Determination | R Square
- Feature Selection Techniques in Regression Model
- What is “stepAIC” in R?
- What is Multicollinearity in R?

### NLP using spaCy

- Spacy Installation and Basic Operations | NLP Text Processing Library | Part 1
- A Quick Guide to Tokenization, Lemmatization, Stop Words, and Phrase Matching using spaCy | NLP | Part 2
- Named Entity Recognition NER using spaCy | NLP | Part 4Parts of Speech Tagging and Dependency Parsing using spaCy | NLP | Part 3
- Named Entity Recognition NER using spaCy | NLP | Part 4
- How to Perform Sentence Segmentation or Sentence Tokenization using spaCy | NLP Series | Part 5

### ML Infographics Gallery

## Database Topics

### Relational Model

- Relational Algebra – Degree, Cardinality, Domain, Union Compatibility and Operators
- Cartesian Product
- Join Operators in DBMS
- Join Conditions – Natural Join, On Condition, Using Attribute
- Join Types – inner, left outer, right outer and outer join

### Normalization & Normal Forms

- Types of Functional Dependencies in Normalization
- Super Key, Candidate Key and Primary Key
- How to find attribute closure using Functional Dependency
- Procedure to determine Candidate key using attribute closure
- Prime and Non Prime Attributes
- Normal Forms
- Procedure to decompose a given relation in BCNF – BCNF Algorithm