Conrad Frank's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
docker-k8s
This will include all files for my docker kubernetes training
s3fs-fuse
FUSE-based file system backed by Amazon S3
awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Courses-1
Files of Coursera, Udemy and Udacity courses
keras
Deep Learning for humans
py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Courses-
Quiz & Assignment of Coursera
coursera-deep-learning
Solutions to all quiz and all the programming assignments!!!
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Mathematics-for-Machine-Learning-Specialization
This is the solution of the "Mathematics for Machine Learning Specialization" made by Coursera
ML-Tenser-Flow-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.
Python
All Algorithms implemented in Python
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
capstone
Capstone project - Predective text analysis
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Developing_Data_Products
Developing Data Products Course from the Johns Hopkins Data Science Lab
commandlinebasics
Exercise Files for Learn the Linux Command Line: The Basics at Lynda.com
shiny_app
Developing data products_project
Practical_machine_learning
Repo for Coursera Practical Machine learning from JH
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.
LabeledImages2HDF5
Package image files to HDF5 for Deep Learning experimentation.
Conrad_local1
From local PC
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Reproducible-Research-Assignment-1
Reproducible Research Assignment 1
Exploratory-Data-Analysis_assignment1
Plotting Assignment 1 for Exploratory Data Analysis
datasciencecoursera
repo for datascience course