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ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

capstone

Distracted Driver Detection

capstone-realtime-streaming-analytics

Build and deploy a model to accomplish real time Twitter and Stock Analysis

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

dash-predictive-maintenance

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

data-engineering-zoomcamp

Free Data Engineering course!

db2-event-store-iot-analytics

IoT sensor temperature analysis and prediction with IBM Db2 Event Store

devops-master-class

Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops by Ranga Karanam

fastprogress

Simple and flexible progress bar for Jupyter Notebook and console

flask-soft-ui-dashboard

Soft UI Dashboard - Open-source Flask Dashboard | AppSeed

github-slideshow

A robot powered training repository :robot:

isolationforesttutorial

Code from my tutorial in my Medium article "How to perform anomaly detection with the Isolation Forest algorithm."

lnn

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

marketing-data-science

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

mindsdb

In-Database Machine Learning

mlops-zoomcamp

Free MLOps course from DataTalks.Club

nlp-tutorial-1

A list of NLP(Natural Language Processing) tutorials

obsei

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

python-course

Free Python Course: From Beginner To Advanced

python-programming-exercises

100+ Python challenging programming exercises

r-shinyapp-tutorial

rasacore_rasanlu_flask

HR bot assistant Backend using Rasa Core and Rasa NLU

retail-customer-segmentation

Customer Segmentation for an online retail store based on Recency - Frequency - Monetary value (RFM) model, using unsupervised K-means clustering

rfm-analysis

RFM (Recency, Frequency, Monetary) Analysis is a marketing technique used to determine quantitatively which customers are the best ones by examining how recently a customer has purchased (Recency), how often they purchase (Frequency), and how much the customer spends (Monetary).

sbsps-challenge-1160-predicting-the-energy-output-of-wind-turbine-based-on-weather-condition

Predicting Energy Output of Wind Turbine

scikit-learn-tips

:robot::zap: 50 scikit-learn tips

shiny

Easy interactive web applications with R

textsummarizer_project

twitter-bot

Twittier-Bot using tweepy and tkinter allowing user to reply, retweet, favorite a tweet based on keyword search without opening the Twitter application