Skip to main content

🧑‍🎓 Project Roadmap

Analytics Experience & Agile implementation of CRISP-DM 🚀

🌟 Driving Data Analytics & Machine Learning at Scale on the Cloud ⛅️

Agile implementation of CRISP-DM

🗓️ Project Timeline/Schedule & Deliverables

1️⃣ Project Proposal​

✨ Project Overview and Problem Statement 👇

👈

2️⃣ Data Understanding​

3️⃣ Data Preprocessing & Preparation​

Python & SQL cheatsheets 👇

👈

4️⃣ Exploratory Data Analysis (EDA)​

🔍 Data Analysis & Visualization: conduct an in-depth Exploratory Data Analysis (EDA) & Visualization like a PRO. 👇

👈

📊 Transform data into insights with top-notch visualization tools and techniques (charts, map, dashboard, GIS/Geospatial). 🎨

5️⃣ Time Series & Machine Learning Models Development​

🤖 Discover the fascinating world of Machine Learning with guides & resources. 🧑‍🎓

👈

6️⃣ Model Training & Scoring​

7️⃣ Data Visualization Dashboard​

To improve storytellingy and decision-making, a dynamic and interactive business dashboard is built utilising Vizro, McKinsey's open-source, and Plotly Dash.

8️⃣ [Future Work] Enterprise AI and Responsible AI at Scale​

🌌 Learn to dive deep into Deep Learning with TensorFlow, Keras, and more! 👇

👈

eXplainable AI (XAI) 🛡️ 👇

👈

Data Science & Machine Learning ROADMAP

9️⃣ References​

Papers for ML & Data Science study guides

Forecasting: Principles and PracticeScale Without Compromise - TeradataTeradata-ClearScape-Analytics
Forecasting Principles (3rd ed)Scale Without CompromiseTeradata ClearScape Analytics
Teradata-Born-to-Be-ParralellTeradata-Enterprise-AI-at-ScaleTeradata-Responsible-AI-at-Scale
Born to Be ParralellEnterprise AI at ScaleResponsible-AI-at-Scale
This ROADMAP is not just a learning path

🚀 Project Timeline/Schedule & Deliverables

🎓 List of cheat sheets, tutorials, and references that have been carefully selected to help me grow as a learner.

📜 Dive into the key papers that every ML enthusiast should read. 🔍

Read more ... 👇

👈