Name: Yohannes Didana
Type: User
Company: Banking and Finance
Bio: I am a versatile, self-motivated professional who is passionate about machine learning, deep learning and getting insight from data using my analytical skills.
Twitter: dr_didana
Location: Australia
Blog: https://github.com/yohannes-didana
Yohannes Didana's Projects
Classical equations and diagrams in machine learning
Machine Learning for Time-Series with Python.Published by Packt
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A comprehensive repository containing 30+ notebooks on learning machine learning!
Source code for the book "Math for Deep Learning"
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A repository to index and organize the latest machine learning courses found on YouTube.
The code from the Machine Learning Bookcamp book and a free course based on the book
Open Machine Learning Course
Free MLOps course from DataTalks.Club
Companion webpage to the book "Mathematics For Machine Learning"
Lab files for AI-900: Azure AI Fundamentals
Parallel t-SNE implementation with Python and Torch wrappers.
Natural Language Processing Specialization Courses deeplearning.ai
Linkedin Learning Course
deep learning Coursera
RAPIDS Community Notebooks
100 numpy exercises (with solutions)
Numpy-Tutorial-SciPyConf-2020
Examples and guides for using the OpenAI API
A curated collection of datasets for data analysis & machine learning, downloadable with a single Python command
Practice your pandas skills!
Practice It: Python Data Structures
For this project the Boston House Price dataset will be used. Each record in the database describes a Boston suburb or town. The data was drawn from the Boston Standard Metropolitan Statistical Area (SMSA) in 1970. The attributes are defined as follows (taken from the UCI Machine Learning Repository):
Common solutions and tools developed by Google Cloud's Professional Services team
Repository for Programming Assignment 2 for R Programming on Coursera
Learn by doing: DIY project groups at DataTalks.Club
Web site for www.py4e.com and source to the Python 3.0 textbook