Archive

2019 - 11 Posts:

• April 23 - Minimize for loop usage in Python
• April 22 - Python Pro Tip: Start using Python defaultdict and Counter in place of dictionary
• April 19 - 3 Awesome Visualization Techniques for every dataset
• April 15 - Chatbots aren't as difficult to make as You Think
• March 31 - Why Sublime Text for Data Science is Hotter than Jennifer Lawrence?
• March 30 - NLP Learning Series: Part 4 - Transfer Learning Intuition for Text Classification
• March 9 - NLP Learning Series: Part 3 - Attention, CNN and what not for Text Classification
• February 19 - What my first Silver Medal taught me about Text Classification and Kaggle in general?
• February 8 - NLP Learning Series: Part 2 - Conventional Methods for Text Classification
• January 17 - NLP Learning Series: Part 1 - Text Preprocessing Methods for Deep Learning
• January 6 - A Layman guide to moving from Keras to Pytorch
• April 23 - Posts

2018 - 3 Posts:

• December 17 - What Kagglers are using for Text Classification
• December 7 - To all Data Scientists - The one Graph Algorithm you need to know
• September 22 - Object Detection: An End to End Theoretical Perspective

2017 - 11 Posts:

• December 28 - Hyperopt - A bayesian Parameter Tuning Framework
• December 26 - Using XGBoost for time series prediction tasks
• September 14 - Good Feature Building Techniques - Tricks for Kaggle - My Kaggle Code Repository
• September 14 - The story of every distribution - Discrete Distributions
• April 17 - Today I Learned This Part 2: Pretrained Neural Networks What are they?
• April 16 - Maths Beats Intuition probably every damn time
• April 9 - Today I Learned This Part I: What are word2vec Embeddings?
• March 26 - Top Data Science Resources on the Internet right now
• March 23 - Basics Of Linear Regression
• March 5 - Top advice for a Data Scientist
• February 5 - Machine Learning Algorithms for Data Scientists

2016 - 3 Posts:

• December 24 - Things to see while buying a Mutual Fund
• October 27 - Pandas For All - Some Basic Pandas Functions
• January 10 - Deploying ML Apps using Python and Flask- Learning about Flask

2015 - 7 Posts:

• October 11 - Shell Basics every Data Scientist Should know - Part II(AWK)
• October 9 - Shell Basics every Data Scientist Should know -Part I
• September 13 - Create basic graph visualizations with SeaBorn- The Most Awesome Python Library For Visualization yet
• September 7 - Learning Spark using Python: Basics and Applications
• August 21 - Behold the power of MCMC
• August 19 - My Tryst With MCMC Algorithms
• May 9 - Hadoop Mapreduce Streaming Tricks and Techniques

2014 - 5 Posts:

• December 1 - Exploring Vowpal Wabbit with the Avazu Clickthrough Prediction Challenge
• October 2 - Data Science 101 : Playing with Scraping in Python
• September 30 - Dictvectorizer for One Hot Encoding of Categorical Data
• September 28 - Learning pyspark – Installation – Part 1
• September 27 - Hadoop, Mapreduce and More – Part 1