sukhrobjon Goto Github PK

deep-learning-online-course

deploy-make-pizza

django-starter-tutorial

This is a django tutorial from its official website. It’ll consist of two parts: A public site that lets people view polls and vote in them. An admin site that lets you add, change, and delete polls.

dramamovie

My Favorite Movie

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.

ds-2.2-dl

Deep learning class at make school

ds-2.3-ds-in-production

This course covers the tools and techniques commonly utilized for production machine learning in industry. Students learn how to provide web interfaces for training machine learning or deep learning models with Flask and Docker. Students will deploy models in the cloud through Amazon Web Services, gather and process data from the web, and display information for consumption in advanced web applications using Plotly and D3.js. The students use PySpark to make querying even the largest data stores manageable.

ds-2.4-advanced-topics-in-data-science

DS-2.4-Advanced-Topics-In-Data-Science @ makeschool

exercism

flask-blog

Flask blog personal project to learn how flask and python is used for backend purpose

flicksapp

flicksappsg

giphy-search

BEW-1.1-MakeSchool

git-branchy

hackerrank-challanges

Hackerrank challenges that I have solved on hackerrank.com

hacksplaining-exercises

instagramparse

int-1.3-and-int-2.3-spring-intensive

Repo for the spring intensive

jinja2-exploitme

labweek9

leetcode

leetcode

make-chat

makepizza

node-reddit-clone

BEW-1.2 tutorial at Make School

numberguesser

C++ assignment

ossu-data-science-degree

:bar_chart: Path to a free self-taught education in Data Science!

parseinstagram

passport-auth

BEW-1.2 In class exercise