Machine Learning

More Articles to come.. Please follow Data Science Duniya for updates.

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

• Reference Python Notebook for Important ML Algorithms for the Beginners/

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

Link

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

More Articles to come.. Please follow/subscribe Data Science Duniya for updates.