This is a repo with links to everything you'd ever want to learn about data engineering

10 Weeks, 20 Lessons, Data Science for All!

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Toturials coming with the "data science roadmap" picture.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

Collection of data science projects in Python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Hands-on Exploratory Data Analysis with Python, published by Packt

google data analytics professional certificate

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

Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing

🔎 Data analysis with real world data sets using Python 🔍

We gather Malaysian dataset! https://malaysian-dataset.readthedocs.io/

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

Model to accurately forecast inventory demand based on historical sales data.

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

A Classification Problem which predicts if a loan will get approved or not.

Robust Supply Chain Network with Monte Carlo Simulation

Analyse customer segmentation, sentiment on product review, and built a product recommender system

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

Welcome to the RAG University repository! This repository contains code implementations for Retrieval-Augmented Generation (RAG) models, specifically designed for Language Model (LM) tasks. RAG mod…

In this project, we leverage Deep Learning algorithms to build robust forecasting system that monitors the change in the demand side and aligns the supply side to make up for the inaccuracy of the …

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),…

Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management during the Trends Marketplace event to professors, alumni and w…

Product Segmentation for Retail with Python