shshossain Goto Github PK

aiml-projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

bfvm19prog1

Programming 1 course for DSLS

books

This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

data-science--cheat-sheet

Cheat Sheets

data-science-and-machine-learning-projects-dojo

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

datasciencetools

Useful Data Science and Machine Learning Tools,Libraries and Packages

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

free-ai-resources

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

fun-with-python-for-geodata

personal python exercises

fundamentals-of-machine-learning-and-deep-learning

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

fundamentals-of-machine-learning-and-deep-learning-in-python-2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

goodboychan.github.io

jupyter blog

groningen-microbiome

Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learn-python3

Jupyter notebooks for teaching/learning Python 3

machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

machine_learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

programming-1

Repository for the Programming 1 final assignment

programming-2

programming-3

python-programming-exercises

100+ Python challenging programming exercises

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

sas-python-work

signal_analysis

Data Science 1 course - signal analysis

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

supervised-learning-bert

DS3

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks