doaa450

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

forecasting-energy-consumption-LSTM

Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in real time.

flask-rest-setup

Notes on Flask REST API and tutorial

py

Repository to store sample python programs for python learning

PumpSensor

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Time-Series-ARIMA-XGBOOST-RNN

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

awesome-machine-learning

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

Data-Visualization-Course

ITI Egypt AI Program

freeCodeCamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

Time-Series-Forecasting-using-LSTM

Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and multi step))

ml-engineering

Machine Learning Engineering Open Book

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Timeseries

Timeseries for everyone

ml-time-series-analysis-on-sales-data

Time Series Decomposition techniques and random forest algorithm on sales data

Predictive-Maintenance-of-Aircraft-Engine

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

Dash-by-Plotly

Interactive data analytics

machine_failure

shap

A game theoretic approach to explain the output of any machine learning model.

Custom-DeepLearning-Model-Deployment-Using-Flask-And-Heroku

Basic Guide To Deploy Machine Learning or Deep Learning Model in Heroku using flask Web service frame work.

RFM-analysis

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

Customer-Life-Time-Value-Prediction-Flask-Deployment--Heroku

The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfying all MLR Assumptions. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.

clv

CLV prediction with BG/NBD model, xgboost, lightgbm

Predict_CLTV_with_linear_regression

Utilize linear regression to predict Customer Lifetime Value and develop positive ROI strategies

Time-Series-Analysis-with-Python-Cookbook

Time Series Analysis with Python Cookbook, published by Packt

feature-engineering-for-time-series-forecasting

Code repository for the online course "Feature Engineering for Time Series Forecasting".

customer-lifetime-prediction-using-python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

ml-aws-specialty-lab

Repo with resources to pass the AWS ML Specialty exam

12-Month-Forecast-With-LSTM

This is an example of LSTM used to forecast the next 12 months on the Air Passengers dataset.