CSKrishna/data-science-interviews Fork of alexeygrigorev/data-science-interviews

Data science interview questions and answers

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CSKrishna/Recommender-Systems-for-Implicit-Feedback-datasets

Matrix Factorization augmented with customer item meta data

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CSKrishna/algs4 Fork of kevin-wayne/algs4

Algorithms, 4th edition textbook code and libraries

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CSKrishna/datastructures

Python implementations of classical data-structures and algorihms

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CSKrishna/cs229-2018-autumn Fork of maxim5/cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

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CSKrishna/algs4-py Fork of shellfly/algs4-py

A Python library for the textbook Algorithms, 4th edition

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CSKrishna/Tree_LSTMs-for-Aspect-based-Sentiment-Analysis

Tree Structured LSTM model for sentence level aspect based sentiment analysis

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CSKrishna/Optimal-bidding-policy-using-Policy-Gradient-in-a-Multi-agent-Contextual-Bandit-setting

We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting

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CSKrishna/CS168 Fork of micah-olivas/CS168

Projects for CS 168 (Modern Algorithmic Toolbox at Stanford), Spring 2021

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CSKrishna/student0 Fork of heefan/student0

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CSKrishna/group0 Fork of heefan/group0

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CSKrishna/MLOPS

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CSKrishna/CS162-Operating-Systems Fork of MatthewOrzechowski/CS162-Operating-Systems

Repository for final versions of work for CS162 Operating Systems

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CSKrishna/CS229-Machine-Learning Fork of twistedmove/CS229-Machine-Learning

Stanford CS229 course material by Andrew Ng, with problem set, Matlab code and scanned notes written by me

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CSKrishna/cs229-ps-2018 Fork of isehd/cs229-ps-2018

My solutions to the problem sets of Stanford cs229, 2018

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CSKrishna/Awesome-CS-Books-and-Digests Fork of wx-chevalier/Awesome-CS-Books

:books: Awesome CS Books(with Digests)/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，以及我的读书笔记。

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CSKrishna/Reinforcement-Learning-Easy21

Reinforcement Learning for Easy21 (from David Silver's RL course)

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CSKrishna/stanford-cs229 Fork of zhuangaili/stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

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CSKrishna/NER

Java code for NER based on MEMM trigram model

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CSKrishna/Hierarchical-Attention-Networks

Implementation of Hierarchical Attention Network model for text classification

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CSKrishna/Thanos

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CSKrishna/expr

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CSKrishna/gcp-retail-workshop-2018 Fork of precocity/gcp-retail-workshop-2018

Content for a retail-focused workshop showcasing the data and analytics capabilities of the Google Cloud Platform

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CSKrishna/cloudml-samples Fork of GoogleCloudPlatform/cloudml-samples

Samples for Google Cloud Machine Learning Engine

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CSKrishna/CS294

Solutions to Deep RL assignments from CS294's Fall 2017 iteration

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CSKrishna/Deep-Learning-NLP-Course-Work

Solutions to coursework

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CSKrishna/cs229 Fork of econti/cs229

Stanford CS229 (Autumn 2017)

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CSKrishna/fold Fork of tensorflow/fold

Deep learning with dynamic computation graphs in TensorFlow

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