Hi, I am Nilimesh Halder
, PhD, an Applied Data Science & Machine Learning Specialist and the guy behind "WACAMLDS: Learn through Codes
". I did my PhD in Artificial Intelligence & Decision Analytics from the School of Computer Science & Software Engineering at The University of Western Australia (UWA). I have been working in Applied Data Science & Machine Learning for the past 12+ years, together with 16+ years of experiences in SQL, R and Python programming & coding. My specialisations are in applied Business Data Science & Forecasting.
My objective is to make you (Beginners, Developers, Students and Business Professionals) awesome at Data Science, Machine Learning, Deep Learning, Predictive Modelling, Forecasting & Business Analytics. We take the unconventional, application & result oriented top-down approach (i.e. Learn Data Science by Coding without deep diving into the theory) to develop & deploy Predictive Models. At WACAMLDS, you will find End-to-End "Applied Machine Learning & Data Science" Codes / Scripts / Programs
suitable for Students, Beginners, Data Analysts, Data Scientists 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, H2O, FBprophet, XGBoost, CatBoost, LightGBM, Ludwig, TensorFlow, Keras and TuriCreate. WACAMLDS provides end-to-end projects that build your "Applied Machine Learning & Data Science" portfolio and make you employer competent. *All rights reserved @ WACAMLDS