yohannes-didana Goto Github PK

-datasciencecoursera

Data science toolbox

2023-package

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

bayesian-methods-for-machine-learning

Bayesian Methods for Machine Learning

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

betterpython

Code examples for my Write Better Python Code series on YouTube.

build_tools_to_automate_python

building-deep-learning-applications-with-keras-2.0

Linkedin Learning Course

california-housing-predictive-model

California Housing Prices dataset from the StatLib repository. This dataset is based on data from the 1990 California census (modified version).

calm-notebooks

notebooks that are used at calmcode.io

classiccomputerscienceproblemsinpython

Source Code for the Book Classic Computer Science Problems in Python

classification-bank-telemarketing

classification-predictive-modeling-sonar-data

The focus of this project will be the Sonar Mines vs Rocks datasets. The problem is to predict metal or rock objects from sonar return data. Each pattern is a set of 60 numbers in the range 0.0 to 1.0. Each number represents the energy within a particular frequency band, integrated over a certain period of time. The label associated with each record contains the letter R if the object is a rock and M if it is a mine (metal cylinder). The numbers in the labels are in increasing order of aspect angle, but they do not encode the angle directly.

cleaning-data-for-effective-data-science

Cleaning Data for Effective Data Science, published by Packt

code_snippets

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

continousmodeldeploy

This is code depository for my upcoming session. Will update details post the session

convolutional-neural-networks_coursera

coursea-ml-capstone-project

coursera_r_programming

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cuml

cuML - RAPIDS Machine Learning Library

customer-segmentation

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.