Sanidhya Pushp's starred repositories
Leetcode_company_frequency
Collection of leetcode company tag problems. Periodically updating.
leetcode-patterns
A pattern-based approach for learning technical interview questions
Interview-Preparation
Interview Preparation material for Senior Software Engineer - Android role
Data-Science--Cheat-Sheet
Cheat Sheets
neural_turing_machine
A Pytorch Implementation of Neural Turing Machine on various tasks. (Sine Wave Regeneration , Copy Task and Language Translation)
DS-Career-Resources
Compilation of resources for aspiring data scientists
ExploringDataWithPython
Methods of data exploration and visualization using Python.
Data_Visualization
This is the code for Data Visualizaton - Data Lit #4 by Siraj Raval on Youtube
NLP-Papers
Natural Language Processing Papers
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Deep_learning_explorations
Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepLearningFrameworks
Demo of running NNs across different frameworks
awesome-public-datasets
A topic-centric list of HQ open datasets.
Data_Science_Interview_Guide
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tuning_xgboost
Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018