Amogh Singhal

Machine-Learning-with-Python. Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Python-Interview-Problems-for-Practice. 120+ Common code and interview problems solved in Python **(it's GROWING...)** Give a Star 🌟If it helps you. Please go through the README.md before starting.

Keras-Style-Transfer. An implementation of "A Neural Algorithm of Artistic Style" in Keras

machine-learning-for-hackers. Exercises and solutions for Machine Learning for Hackers by Drew Conway & John Myles White

covid19-india-impact-dashboard. Website: http://covid19dashboard.pythonanywhere.com/

deep-learning-with-python. Examples and Exercises from Deep Learning with Python - Francis Chollet

cracking-the-data-science-interview. A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Telemarketing-Prediction-for-Banking. This is an independent data science notebook where we want to predict and improve whether a customer will buy a term loan or not

ML-Study-Plan.

30-Days-Of-Python. 30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

lstm-text-generation. A generative model for text, character-by-character using LSTM recurrent neural networks in Python with Keras. Later extending to make Predictive Keyboard.

Hands-On-Machine-Learning-Notebooks. Notebooks for the chapters in "Hands-On Machine Learning with Scikit-Learn and TensorFlow [O'Reily]"

intermediate-python. Some intermediate python concepts useful for revision

machine-learning-interview-enlightener. This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

andrew-ng-machine-learning. This repository contains the program from Coursera - Machine Learning (Andrew Ng)

Fake-News-Detection-Python. A deep net that lets you detect if a news article is fake or not

Awesome-Math-Learning. 📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.

books-to-finish. These are the books I wish to finish by 2019

machine-learning-systems-design. A booklet on machine learning systems design with exercises: https://huyenchip.com/machine-learning-systems-design/toc.html

Algorithms-Princeton-University. Exercises for Algorithms Course by Princeton University

machine-learning-interview. Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Awesome-CS-Books. :books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档。

Spelling-Corrector-Python. Spelling Corrector made with Python, courtesy of Peter Norvig's Essay

An-Introduction-To-Machine-Intelligence. Repository containing Jupyter notebooks for the course: An Introduction to Machine Intelligence for Architects and other Nonengineers ETH Zurich, Chair for CAAD, Autumn semester 2019

news_classifier-scikitlearn. Multinomial Naive Bayes Classifier for newsgroup20 dataset

inverted-index-nlp. The purpose of an inverted index is to allow fast full text searches, at a cost of increased processing when a document is added to the database. The inverted file may be the database file itself, rather than its index.

pos-tagger-nltk-scikit-learn. Part-Of-Speech Tagger using custom trained models, implemented with Scikit-Learn and NLTK

devAmoghS.github.io. Github Pages

Data-Structures-Programs. Data Structure Programs in C++, will be refactoring and adding comments soon.

BounceGame. Bounce Game developed with HTML and Javascript

The-Data-Science-Manual. Exercise solutions for The Data Science Design Manual - Steven Skiena

ml-interview-prep. This is a repository to collate random questions asked in an ML interview

songs-from-youtube. A repository of songs accidently and boy are they amazing !

ISLR-Lab. This repository contains the program from Introduction to Statistical Learning with R

Spark-Intro-to-ML. This repository contains some of my intial work with Spark-Scala and Machine Learning. TODO: Extend it in the future.

tensorflow_tutorial. Python

python-interview-practice. Python

Research-papers-.

File-Processing-Microservice. A file processing micro-service written with Flask, RethinkDB and VueJS

UC-Berkeley-CS61A. Exercises for the lectures from Structure and Interpretation of Programs

BookmarkAppDjango. A simple bookmark application made with intention to learn Django

Steganography-Application. Steganography Application made as a part of college project. Will be adding a demo soon

CRUD-using-ROR. A basic CRUD interface using React on Rails, can be extended as a template. Feel free to raise an issue if you can make it better

Python-Programs. A repository of all the solutions to all tutorial questions from SRM University Course Code: 15IT322E

Chrome-Plugins. Plugins made for Google Chrome