harsh91274 Goto Github PK

artificial_neural_network_for_grl

certifica

additional_docs

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep_learning_specialization

deeplearning.ai specialization course in Neural Networks

deep_learning_sr

deep learning sebastian raschka course

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

genai

Assignments and materials from Generative AI with Large Language models

hbv_statistical_rethinking

Statistical Rethinking course material [McElreath 2019 Winter]

hv_projects

AI/ML + technology projects

islr-python

machine-learning-books-with-python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

mcw-azure-synapse-analytics-and-ai

Microsoft Cloud Workshop Azure Synapse Analytics and AI

ml_projects

Repo for on-off Machine Learning projects

phd_research_code

research code from my modeling work (1) Lattice boltzmann seeders and execution code (2) Discrete Element Processing and Interpretation (3) Machine Learning for failure event prediction, and (4) Experimental Laboratory data processing and interpretaton

planogram_processing

for command line testing

presentations

scientific posters and presentations

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

publications

grl_paper_2020

rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

sr_dl

sr_dl2

statistical_learning_edx

Stanford Online course material by Trevor Hastie and Robert Tibshirani

statrethink_course_in_pymc3

Statistical Rethinking course in pymc3

statsmodels

Statsmodels: statistical modeling and econometrics in Python