just4jc Goto Github PK

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

activation_functions

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

ai_banking

aihkstudygroup

AI Engineers – HK Study Group

air-passengers-arima

ARIMA forecasts on the AirPassengers dataset built in Python and Tableau

airbnb_steamlit

Streamlit app that predicts the price of airbnb listings.

alexa-skill-watson-conversation

Alexa Skill using OpenWhisk, IBM Watson Assistant and Weather Channel Data

algorithmic-examples

Algorithmic Marketing Models

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

amazon-kinesis-client

Client library for Amazon Kinesis

amazon-kinesis-connectors

amazon-kinesis-producer

Amazon Kinesis Producer Library

amazon-sagemaker-examples

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

amazon-sagemaker-workshop

Amazon SageMaker workshop lab guides and materials

amldataprepdocs

Documentation for Microsoft Azure Data Preparation

analyze-open-data-sets-with-pandas-dataframes

In this notebook, you'll learn how to use open data from the data sets on the Data Science Experience home page in a Python notebook. You will load, clean, and explore the data with pandas DataFrames. Some familiarity with Python is recommended. The data sets for this notebook are from the World Development Indicators (WDI) data set. The WDI data set is a statistical benchmark that helps measure the progress of human development. The WDI data set draws on data from the World Bank and more than 30 partners. You'll look at seven key development variables, sorted by country and year.

api-ai-workshop

API.AI Workshop Material. This can be used to create a Conversational Agent for a simple Linear Conversation using API.AI.

applied-dl-2018

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

auto-sklearn

Automated Machine Learning with scikit-learn

autodefense

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

autopilot

A self driving car model for humans.

awesome-biomolecule-language-cross-modeling

Awesome-Biomolecule-Language-Cross-Modeling: a curated list of resources for paper "Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey"

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mlops

A curated list of references for MLOps

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-python

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

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning