Pinned Repositories
bayes_sentiment_analysis
Increasing the efficiency of NaΓ―ve Bayes model in NLP for Sentiment Analysis. B.Tech Final Year Project
competitive-coding-leetcode
π π π My Leetcode solutions (Java - Python3)
cracking-the-coding-interview
βοΈ π π¬ My Java Solutions to CTCI-6th Edition. Links to Online Judge Platforms for CTCI questions.
data-structures-and-algorithms-coursera
Six course specialization by UCSD. My solutions to the course assignments.
google-code-jam
My Python Solutions for Google Code Jam 2019!
live_log_analyzer_spark
Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.
machine-learning-coursera-stanford
π π In depth explained my assignment solutions. Grade: 97.3%
recommender_system
Recommendation System on Movielens 1M dataset
spark_kafka_tweet_analysis
What people are tweeting about now, in your desired location? Live Streaming of Twitter Data to Spark and Tweet Analysis application on various trends Eg: Trending HashTags, Trending Mentions etc. Location based features supported.
stacked_autoencoders
Demonstrated experiments with De-noising and Stacked Autoencoders on Fashion MNIST Dataset
ahujaraman's Repositories
ahujaraman/cracking-the-coding-interview
βοΈ π π¬ My Java Solutions to CTCI-6th Edition. Links to Online Judge Platforms for CTCI questions.
ahujaraman/live_log_analyzer_spark
Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.
ahujaraman/spark_kafka_tweet_analysis
What people are tweeting about now, in your desired location? Live Streaming of Twitter Data to Spark and Tweet Analysis application on various trends Eg: Trending HashTags, Trending Mentions etc. Location based features supported.
ahujaraman/bayes_sentiment_analysis
Increasing the efficiency of NaΓ―ve Bayes model in NLP for Sentiment Analysis. B.Tech Final Year Project
ahujaraman/competitive-coding-leetcode
π π π My Leetcode solutions (Java - Python3)
ahujaraman/machine-learning-coursera-stanford
π π In depth explained my assignment solutions. Grade: 97.3%
ahujaraman/recommender_system
Recommendation System on Movielens 1M dataset
ahujaraman/stacked_autoencoders
Demonstrated experiments with De-noising and Stacked Autoencoders on Fashion MNIST Dataset
ahujaraman/data-structures-and-algorithms-coursera
Six course specialization by UCSD. My solutions to the course assignments.
ahujaraman/elasticsearch
Open Source, Distributed, RESTful Search Engine
ahujaraman/google-code-jam
My Python Solutions for Google Code Jam 2019!
ahujaraman/ahujaraman.github.io
Personal Website
ahujaraman/coQA
Conversational Question Answering System for series of interconnected questions.
ahujaraman/course-v3
The 3rd edition of course.fast.ai - coming in 2019
ahujaraman/first-contributions
πβ¨ Help beginners to contribute to open source projects