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**Machine Learning Model Implementation using Python | Complete Code**

- A Step by Step Guide to Logistic Regression Model Building using Python | Machine learning
- A Complete Guide to K-Nearest Neighbors Algorithm – KNN using Python
- A Complete Guide to Principal Component Analysis – PCA in Machine Learning
- A Step by Step Guide to Implement Decision Tree using Python | Machine Learning

**Reference Jupyter Notebooks | All Important Models in one Notebook**

**Machine Learning Frequently Asked Interview Questions and Answers**

- Machine Learning Interview Questions and Answers part 1
- Machine Learning Interview questions and answers part 2 | ML Faq
- Part 3 What is Entropy and Information Gain and their role in splitting the nodes in decision tree
- Part 4 | Decision Tree formation and Understanding how Split Happens with Gini Index
- Statistics For data Science Interview Questions

**Concepts Building – Machine Learning**

- 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
- Bayes’ Theorem with Example for Data Science Professionals
- What is Multicollinearity in R?
- What is “stepAIC” in R?
- Feature Selection Techniques in Regression Model
- What is the Coefficient of Determination | R Square
- Co-variance and Correlation
- What is Logistic Regression
- What is Linear Regression? Part: 1
- What is Linear Regression? Part: 2
- Step by Step Approach to Principal Component Analysis
- What is Bagging in Ensemble Learning
- What is Boosting in Ensemble Learning

### 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
- Numerical Feature Extraction from Text | NLP series | Part 6
- Word2Vec and Semantic Similarity using spacy | NLP spacy Series | Part 7
- Beginners Guide to Text Classification | Machine Learning | NLP | part 8

### 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

### Transactions and Concurrency control

- What is Transaction and ACID Properties
- Atomicity in detail
- Transaction Consistency in detail
- Transaction Isolation in detail
- Transaction Durability in detail
- How to check Conflict Serializability using Precedence Graph Algorithm

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