Sukhrobjon Golibboev's repositories
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
CS-1.3-Core-Data-Structures-SG
This course explores the foundations of computer science including discrete mathematics, abstract data types, data structures, and algorithm analysis and design. Students will compare and contrast iterative and recursive algorithms to analyze design and performance tradeoffs. Students will apply and test data structures like lists, stacks, queues, sets, maps, and trees in real-world problems such as phone call routing. Students will also write technical blog articles about these topics in order to deepen their understanding and gain valuable online presence as knowledgeable and proficient software engineers.
self-driving-cars-graph
CS-2.2 Graph project proposal
flask-blog
Flask blog personal project to learn how flask and python is used for backend purpose
CS-1.2-How-Data-Structures-Work
CS 1.2: How Data Structures Work
autocomplete-searchbar
USF collaboration project front end
BEW-1.2-Authentication-and-Associations
🔐 Build on knowledge of Resourceful and RESTful patterns and dive deep into the Node and Express ecosystem.
BEW-2.1-Advanced-Web-Patterns
👩💻Be able to build anything by learning the commonest advanced patterns for web development like search, file uploading, and sending emails and texts. We will also look at advanced JS topics like async/await and projects like TypeScript.
call_routing_project
CS-1.3 Final project
Core-Git-Branching
Starter project for advanced Git branching lesson
CS-1.3-Core-Data-Structures
CS 1.3: Core Data Structures & Algorithms
CS-2.2-Advanced-Recursion-and-Graphs
CS 2.2: Advanced Recursion and Graphs – Course Syllabus and Lessons
CS-2.2-Challenges
This course covers graph theory, data structures, algorithms, and analysis. Key concepts include recursion, greedy algorithms, memoization and dynamic programming. Students will build an original project whose underlying structure requires the use of graph structures and algorithms to solve real-world problems such as airplane routing, social networking, and board games.
DS-1.1
Learn the foundational skills of data science, including data collection, cleaning, analysis, and visualization with modern tools and libraries. Master the science and art of data exploration and visualization to tell stories with discoveries and persuade decision makers with data-driven insights. Collect a dataset, explore, analyze, and visualize it to discover trends, then present original insights. Gain a strong grounding in statistical concepts including measures of center and spread, distributions, sampling, and the central limit theorem. Utilize statistical techniques to calculate z-scores and confidence intervals, perform hypothesis tests, and identify outliers.
DS-1.1-Data-Analysis
DS 1.1: Data Analysis & Visualization
DS-2.1-ML-Challenges
Students will learn the foundational concepts and techniques of machine learning and how to apply those techniques to data science. Principles of data science and machine learning will be examined and applied to problem solving. Students will master data science processes and its applications, including how to wrangle and use data to train classification or prediction models. To demonstrate mastery, students will apply these techniques to develop and train models on data sets using industry-standard modern software libraries and tools. Students will develop “sharp” data science questions, select a data set and apply a variety of methods to explore those questions and find relevant answers.
passport-auth
BEW-1.2 In class exercise
Rotten-Potatoes
BEW-1.1-MakeSchool
single-source
The place I upload my notes learnings from school and academic wise in general.
summer-2019-internships
A document to help undergraduates keep track of software engineering internship opportunities.
take-home-project-SPD
SPD-1.02 project
tdd-bdd-challenge
🧪 [BEW 1.2] Day 9 TDD/BDD challenges in Mocha and Chai
three.js
JavaScript 3D library.
visualize-time-column
visualize-time-column of dataframe using flask
We-sell-shoes
FEW-1.1- MakeSchool