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100-days-of-ml-code

100 Days of ML Coding

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

centralbank_analysis

Analyze central bank announcements

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.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dsc-3-25-04-visualizing-time-series-data-lab-nyc-ds-career-031119

dsnd_term2

Contains files related to content and project of DSND Term 2

fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

financial-engineering-and-risk-management-i-

coursera course

financial-engineering-and-risk-management-ii

coursera course

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

flatiron-school-data-science-curriculum-resources

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

handson-ml

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

handson-ml2

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.

intro-to-python-for-ml

Exercises and sample code for an intro to Python for machine learning

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

machine-learning-for-time-series-forecasting

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

my_machine_learning_data_science_portfolio

This is my Machine Learning and Data Science Portfolio

notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

procourses.github.io

This repository contians code related to website.

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-for-data-science

A blog for data analytics using data science technologies

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorchtutorials

PyTorch Tutorial materials for Duke University +Data Science Initiative

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker