Complete list of articles

March-20

1. Detecting Money Laundering Networks Using Driverless AI
2. Speed up your Data Analysis with Python’s Datatable package

February-20

1. Vegetation Index calculation from Satellite Imagery

January-20

1. How a passion for numbers turned this Mechanical Engineer into a Kaggle Grandmaster

December-19

1. How to effectively employ an AI strategy in your business
2. Geek Girls Rising: Myth or Reality

November-19

1. Useful Machine Learning Sessions from the H2O World New York
2. Meet Yauhen: The first and the only Kaggle Grandmaster from Belarus.

October-19

1. Getting more value from the Pandas’ value_counts()
2. The Data Scientist who rules the ‘Data Science for Good’ competitions on Kaggle.
3. A Deep dive into H2O’s AutoML

September-19

1. From Academia to Kaggle: How a Physicist found love in Data Science
2. Driverless AI can help you choose what you consume next
3. SQL Interface within JupyterLab

August-19

1. Useful String Methods in Python
2. Sentiment Analysis is difficult, but AI may have an answer
3. Inteligencia Artificial para el análisis de sentimientos en textos

July-19

1. A Data Scientist’s journey from Sudoku to Kaggle
2. Custom Machine Learning Recipes: The ingredients for success
3. 1. Comprehending the ‘Comprehensions’ in Python
4. Elements of Functional Programming in Python
5. Getting started with H2O using Flow

June-19

1. Basics of BASH for Beginners
2. Cluster Analysis in Tableau
3. Quadrant Analysis in Tableau
4. 10 Simple hacks to speed up your Data Analysis in Python
5. AI for Everyone: Myth or Reality?
6. Visualizing Bias in Data using Embedding Projector
7. Using Tableau to Leverage SQL
8. An Overview of Python’s Datatable package

May-19

1. 10 Python image manipulation tools.
2. Human-Centric & Interpretable Machine Learning
3. Recommendation Systems in the Real world
4. The Remarkable world of Recommender Systems
5. TCAV: Interpretability Beyond Feature Attribution
6. Analyzing Machine Learning Models with Yellowbrick
7. Using the ‘What-If Tool’ to investigate Machine Learning models.
8. Leveraging the best of both Python and R

Apr-19

1. AutoML 库：应对机器学习的下一波浪潮
2. Democratising Machine learning with H2O
3. AutoML: The Next Wave of Machine Learning
4. Data Visualization with Power BI
5. Animations with Matplotlib
6. Top Competitive Data Science Platforms other than Kaggle
7. Interpretable Machine Learning
8. Jupyter Notebook und Lab für (Daten)-Wissenschaftler
9. Repost : Is your machine learning model biased?

Mar-19

1. Get faster pandas with Modin, even on your laptops.
2. Predicting the ‘Future’ with Facebook’s Prophet
3. 10 Free tools to get started with Data Visualisation-Easily & Instantly.
4. From ‘R vs Python’ to ‘R and Python’
5. Understanding the ROC and AUC metrics.
6. SQL with Tableau
7. SQL with PowerBI
8. 10 Python image manipulation tools

Feb-19

1. Jupyter Lab: Evolution of the Jupyter Notebook
2. Word Clouds in Tableau: Quick & Easy.
3. Image Segmentation using Python’s scikit-image module
4. A Compilation of my articles on various Data Visualisation tools
5. Is your Machine Learning Model Biased?
6. A Comprehensive Guide to Data Visualisation in R for Beginners
7. PyViz: Simplifying the Data Visualisation process in Python.
8. Spreadsheets with Tableau

Jan-19

1. Visualising Machine Learning Datasets with Google’s FACETS.
2. Python’s Collections Module — High-performance container data types.
3. Face Detection with Python using OpenCV
4. Construyendo un Chatbot conversacional para Slack usando Rasa y Python -Parte 1
5. Construyendo un Chatbot conversacional para Slack usando Rasa y Python -Parte 2
6. Building a Conversational Chatbot for Slack using Rasa and Python -Part 2
7. Importance of Image processing in business
8. Building a Conversational Chatbot for Slack using Rasa and Python -Part 1

Dec-18

1. My Top Five Data Science Reads of 2018
2. Exploratory Data Visualisation with Altair
3. Bringing the best out of Jupyter Notebooks for Data Science
4. Music Genre Classification with Python
5. The Fashionable “Hello World” of Deep Learning

Nov-18

1. Satellite Imagery analysis with Python
2. Lesser Known Python Libraries for Data Science
3. 9 obscure Python libraries for data science
4. My Journey into DeepLearning using Keras

Oct-18

1. On Device AI: The next ‘SMART’ thing.
2. Demystifying Neural Networks: A Mathematical Approach (Part 2)
3. Data Visualisation with Tableau
4. Demystifying Neural Networks: A Mathematical Approach (Part 1)
5. Visualising Geospatial data with Python

Sep-18

1. Simplifying Sentiment Analysis using VADER in Python (on Social Media Text)
2. Construyendo un Chatbot simple desde cero en Python (usando NLTK)
3. Building a Simple Chatbot from Scratch in Python (using NLTK)
4. Programming with Databases in Python using SQLite
5. Recreating Gapminder in Tableau: A Humble tribute to Hans Rosling
6. #GoogleForIndia 2018: Using AI to #SolveForIndia

Aug-18

1. A Guide to Machine Learning in R for Beginners: Decision Trees
2. Data Science with Watson Analytics
3. A Guide to Machine Learning in R for Beginners: Logistic Regression
4. India’s AI Awakening: The Conclusion
5. Landing a Career in Data Science

Jul-18

1. A Guide to Machine Learning in R for Beginners : Part 4
2. How the Wadhwani Brothers are redefining AI for social good.
3. A Guide to Machine Learning in R for Beginners : Part 3
4. India‘s AI Awakening: The Beginning
5. A Guide to Machine Learning in R for Beginners : Introduction to R
6. Meet the Indian Finalists of 2018 Microsoft Imagine Cup
7. AI/Machine Learning & the future of CyberSecurity
8. A Guide to Machine Learning(in R) for Beginners : Part 1

Jun-18

1. Decoding INNOVATION
2. How Delhi Police went from ‘Reel’ to ‘Real’ with Predictive Policing…