FerndzJoe
Head of Program Delivery - Risk Technology Responsible for all projects, programs, and portfolios within the Risk Technology domain.
San Francisco, CA
FerndzJoe's Stars
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
vict0rsch/deep_learning
Deep Learning Resources and Tutorials using Keras and Lasagne
sahanamallya/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
aojah1/sdg7
mitbans/Predicting-Genetic-Disorder
Capstone Project at UC Berkeley: PC-MLAI: Predict the genetic disorder and its subclass in children based on various medical and genetic attributes.
sahanamallya/aws-data-engineer-certification
Tips, resources, and study materials for the AWS Data Engineer associate certification exam
ml-for-high-risk-apps-book/Machine-Learning-for-High-Risk-Applications-Book
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
vijaysankarkolli/credit_card_fraud_detection
kesavan2017/ucbe-AIML-tryit-exercise-62
UCBE HA - Tryit exercise module 6 - 6.2 : PCA and K-Means exercise
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
nltk/nltk
NLTK Source
ML-course/master
A machine learning course using Python, Jupyter Notebooks, and OpenML
Mphasis-ML-Marketplace/Optimal-Media-Mix-Budget-Allocation
deepinsight/insightface
State-of-the-art 2D and 3D Face Analysis Project
hacksider/Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image
sharmaroshan/Statistics-for-Data-Science
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
fastai/nbdev
Create delightful software with Jupyter Notebooks
Suji04/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...