mrsan22 Goto Github PK

followers: 18.0 following: 10.0 repos: 52.0 gists: 1.0

Name: Sanjiv Kumar

Type: User

Bio: Computer Science Graduate, Full Stack Developer, Technology enthusiast, inDepth.dev writer

Location: Boston,MA

Blog: https://sanjiv.dev

Sanjiv Kumar's Projects

33-js-concepts

📜 33 concepts every JavaScript developer should know.

algorithms

Various coding challenges and algorithms

angular-flask-docker-skeleton

Simple, Extensible, Reliable, Modular Angular-Flask-PostgreSQL seed project with Docker.

angular-interview-questions

A list of helpful Angular related questions you can use to interview potential candidates, test yourself or completely ignore.

angular-logos

This repo is dedicated to collect all the different kinds of Angular badges / logos. This can be a logo from a conference, a NPM package, ...

angular-reactive-forms

Angular project that explores the world of Reactive forms with MockBackend functionality

angular-tailwindcss-schematics

A simple schematic to add tailwindcss to any Angular CLI app.

app-ideas

A Collection of application ideas which can be used to improve your coding skills.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-scalability

The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems

backtobackswe

Code Examples For Back To Back SWE Lessons

build-your-own-x

🤓 Build your own (insert technology here)

coursera-python

An interactive programming in Python Certification course. This repository contains the examples and projects I worked on.

cs109-stat121-datascience_course

Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries. We will be using Python for all programming assignments and projects.

data-mining-project

Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.