anindya-saha

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Amazon-EC2-AMI

Anindya's Data Science Server in Amazon EC2 - With Anaconda2 , xgboost, theano, keras, no GPU support

BerkeleyX-CS105x-Introduction-to-Apache-Spark

IPython Notebooks from the EdX CS105x-Introduction-to-Apache-Spark

Data-Science-with-Spark

Machine Learning and Data Analysis Case Studies using Spark.

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Machine-Learning-with-Python

Machine Learning Implementations in Python

pydata-seattle

Repository for Anomaly Detection for PyData Seattle 2023

system-design-interview

System design interview for IT company

YelpSentiment

CSCE-689 NLP Seminar Course Project - Yelp Reviews Sentiment Analysis

anindya-saha/Data-Science-with-Python

Data Analysis and Visualisations in Python

anindya-saha/streamr

Spark streaming applications

anindya-saha/TimeSeriesAnalysisWithPython

anindya-saha/BuildingMachineLearningSystemsWithPython

Source Code for the book Building Machine Learning Systems with Python

anindya-saha/code

anindya-saha/data-science-blogs

A curated list of data science blogs

anindya-saha/datasciencecoursera

Repo for the Coursera's Data Science Specialization course series.

anindya-saha/DataStructureAndAlgorithmsMadeEasyInJava

Data Structure And Algorithms Made Easy In Java

anindya-saha/deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

anindya-saha/DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

anindya-saha/dl4j-0.4-examples

Please use these examples based on deeplearning4j 0.4.* release.

anindya-saha/ecommerce-2

eCommerce 2 is a step-by-step guide to creating your own custom eCommerce site using Django (v. 1.8), Bootstrap (v. 3.3), AJAX, jQuery (v. 1.11), Braintree Payments and more.

anindya-saha/ecommerce-2-api

eCommerce 2 API is a step-by-step guide to implementing an RESTful API into your eCommerce 2 project (https://github.com/codingforentrepreneurs/ecommerce-2) using the Django Rest Framework, Django Rest Framework JWT, Django CORS Headers, and more.

anindya-saha/editorconfig-eclipse

EditorConfig plugin for the Eclipse IDE

anindya-saha/hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

anindya-saha/Introduction-to-Python

Introduction to the World of Python through Codecademy

anindya-saha/machine-learning-nd

Udacity's Machine Learning Nanodegree project files and notes.

anindya-saha/machine-learning-specialization

anindya-saha/mapreduce-examples

Mapreduce Design Patterns Implementations & MRUnit tests

anindya-saha/ml_hackerrank

anindya-saha/mongodb-spark

MongoDB and Spark Examples

anindya-saha/ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

anindya-saha/ScalaSpark

Spark Pattern Implementations in Scala

anindya-saha/scikit-learn

scikit-learn: machine learning in Python

anindya-saha/spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

anindya-saha/TopCoder

My solutions to top coder problems (problem solving)

anindya-saha/Udacity

Data Analyst Nano-degree Projects, Deep Learning, Android, some front end stuff

anindya-saha/Udacity-Machine-Learning-Nanodegree

This repo contains the project materials from the Udacity machine learning nanodegree.

anindya-saha/udacity-machine-learning-nanodegree-1

project solutions to Udacity's Machine Learning Nanodegree

anindya-saha/winerama-recommender-tutorial

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.