Welcome to SETScholars Data Science & Applied Machine Learning: Learn by Doing It Yourself

Hey! I am Nilimesh Halder, Ph.D., Data Science and Applied Machine Learning Specialist and the guy behind "SETScholars Data Science: Learn By Doing It Yourself". My objective is to make YOU (Beginners and Business Professionals) awesome at Data Science, Machine Learning, Deep Learning, Predictive Modelling & Business Analytics. I take the unconventional, application & result oriented top-down approach (i.e. Learn Data Science by Coding without deep diving into the theory) to develop Predictive Models. Here, YOU will find End-to-End "Predictive Modelling & Data Science" Codes / Scripts / Programs suitable for Beginners and Business Professionals. All codes are written in popular programming languages such as Python & R using the widely used Machine Learning frameworks e.g. scikit-learn, XGBoost, CatBoost, LightGBM, TensorFlow, Keras and TuriCreate. Feel Free to comment if YOU have any question!

Learn by Doing It Yourself: Kickstarter Examples

How to delete duplicates from Pandas Data Frame in Python
How to create crosstabs from Dictionary in Python
How to create lists from Dictionary in Python
How to create a new column based on conditions in Python
Insert a new column based on conditions in Python
Convert STRINGs into DATETIME variables in Python

Learn by Doing It Yourself: End-to-End Data Science Recipes

An End to End Applied Machine Learning Recipe in R: Binary Classification using Bagging, Boosting and Neural Networks
Pima Indians Diabetes Classification using Neural Networks in R
An End to End Applied Machine Learning Recipe in R: Binary Classification using Bagging Ensemble Techniques
An End to End Applied Machine Learning Recipe in R: Binary Classification using Boosting Ensemble Techniques
Binary Classification in Python: A Comparative Presentation of Bagging, Boosting and Neural Networks
Diabetes Classification using NB, KNN, SGD and DT classifiers: An approach to Grid Search and Random Search parameter tuning in Python

Learn by Coding: Data Science Recipe & Notebook Writer

Nilimesh Halder, PhD is a Data Scientist and Applied Machine Learning Engineer. He has 12+ years of experiences as AI - DevOps. He is also a Google trained GCP-Data Engineer and GCP-Data Scientist.

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