sachinyar Goto Github PK

100daysofmlcode

100daysofweb-with-python-course

Demo code and resources for our 100 Days of Web in Python Course

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

aakash_sharma_teclov_investment_data

Teclov_Investment_data

ac

adults-data

this is inspired from https://docs.databricks.com/spark/latest/mllib/binary-classification-mllib-pipelines.html

ai-ml-ebook

Quick guide to review the fundamentals of machine learning.

air

Data Engineering for Data Scientists

airbnb

The Springboard Capstone Project to predict new Airbnb User Bookings.

airline_data_analysis

Visualizations and analysis for the NYCflights13 data set, this data set contains over 300,000 observations of flights departing NYC in 2013

all-python-codes-of-ztm-course-by-andrei-neagoie

amazon-sagemaker-examples

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

amazon-sagemaker-safe-deployment-pipeline

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

apache-spark-2.x-pyspark-and-mllib

Exerices and projects with PySpark 2.x, Python API for Apache Spark 2.x, and MLlib.

apache-spark-in-7-days

Apache Spark in 7 Days [Video], by Packt Publishing

apache-spark-with-python---big-data-with-pyspark-and-spark

applied-ai-course-assignments

applied_ai_course_notes

Applied Artificial intelligence Course from Online course Notes

appliedaicourse

This repo has all the code files which were created as part of the assignments to complete the Applied AI Course. The credit for code source structure and data goes to the Applied AI team.

apps-spring-boot-developer-code

Code for the Spring Boot Developer course

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-courses

:books: List of awesome university courses for learning Computer Science!

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-spark

A curated list of awesome Apache Spark packages and resources.

awsboto3

aws automation using python

axa-insurance-telematics-kaggle

I developed this case study only in 7 days with Pyspark (Spark 1.6.0) SQL & MLlib. I used Databricks cluster and AWS. %90 AUC is achieved (without involving Trip Matching-Repeated Trips feature) with Random Forest. Many ensembles with RF, GBT and Logistic Regression and outlier elimination could be used to improve this result. There are two versions of my code (test and full execution). Since AWS costs have exceeded my budget I sopped to train my model(s) all dataset for full dataset execution. There is also a ppt that presents my outputs in test execution. Full Data Execution code is more production ready and slightly different version. I had to use Databricks Table Caching to TRAIN and TEST data tables to obtain acceptable performance in production ready version.