Kazi Mahathir Rahman's repositories
CSE110-Python-Programming-Language-I
This course would be an introduction to the foundations of computation and purpose of mechanized computation. Emphasis will be placed on techniques of problem analysis and the development of algorithms and programs. Topics will include: 1. Introduction to digital computers and programming algorithms and flow chart construction. 2. Information representation in digital computers. Writing, debugging and running programs (including file handling) on various digital computers using an appropriate language. 3. Data structures, abstraction, recursion, iteration, as well as the design and analysis of basic algorithms.
CSE427-Machine-Learning
Supervised and reinforcement learning; Unsupervised learning algorithms; Attribute based and relational supervised learning algorithms; Neural network based learning algorithms
Hands-On-Deep-Learning-Algorithms-with-Python
Hands-On Deep Learning Algorithms with Python, By Packt
CSE111-Python-Programming-Language-II
This course would be an introduction to data structures, formal specification of syntax, elements of language theory and mathematical preliminaries. Other topics that would be covered are formal languages, structured programming concepts, survey of features of existing high level languages. Students would design and write application using an appropriate language.
CSE220-Data-Structure
data structures are protocols and mechanisms for effective data organization, storage, access and destruction and the relationships between data values. The elementary data structures, arrays, lists, stacks, queues, trees, graphs, etc. to learn how to store, access, modify, delete data efficiently
CSE221-Algorithms
Techniques for analysis of algorithms, Methods for the design of efficient algorithms :Divide and Conquer paradigm, Greedy method, Dynamic programming, Basic search and traversal techniques, Graph algorithms, Elementary parallel algorithms, Algebraic simplification and transformations, Lower bound theory, NP-hard and NP-complete problems.
CSE330-Numerical-Method
Computer Arithmetic: floating point representation of numbers, arithmetic operations with normalized floating point numbers; Iterative methods: different iterative methods for finding the roots of an equation and their computer implementation
CSE370-Database-Management-System
The details of database concepts, methods for storing and manipulating data in database, design and development of a database system using the concepts and database languages with popular application packages
git
Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.
hands-on-ML-with-Sklearn-and-tensorflow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
intro-to-computation-3rd-solutions
Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser
Microsoft-Power-BI-Data-Analyst-Certification-Guide
Microsoft Power BI Data Analyst Certification Guide, published by Packt