Abid’s writing portfolio is a collection of blogs, tutorials, cheat sheets, guides, projects, and books covering data analytics, machine learning, SQL, Python, natural language processing, large language models, artificial intelligence, machine learning operations, and career guidance.

I have published over 340+ pieces online, and it will take me a few weeks to add them all. Please keep checking back weekly for updates. Thank you for your patience. Don’t forget to Star ⭐ the repository.

Categories

Python | SQL | Programming | Data Science | Machine Learning (ML) | Machine Learning Operations (MLOps) | Natural Language Processing (NLP) | Large Language Models (LLMs) | Computer Vision | Artificial Intelligence (AI) | Data Engineering | Career Guidance Resources | Books | Cheat Sheets

Python

• Emulating a Do-While Loop in Python: A Comprehensive Guide for Beginners

• A Beginner’s Guide to Python for Loops: Mastering for i in range

• Leveraging the Power of GPUs with CuPy in Python

• OpenAI Function Calling Tutorial: Generate Structured Output

• Getting Started with ReactPy

• 12 VSCode Tips and Tricks for Python Development

• Setting Up VSCode For Python: A Complete Guide

• Python String Matching Without Complex RegEx Syntax

SQL

• SQL CONTAINS: A Comprehensive Tutorial

• Mastering SQL NOT EQUAL Operator: A Beginner’s Guide

• SQL NOT IN Operator: A Comprehensive Guide for Beginners

• Why is DuckDB Getting Popular?

• SQL With CSVs

Programming

• Getting Started With Go Programing For Data Science

• The Top 11 AI Coding Assistants to Use in 2024

• Top 5 AI Coding Assistants You Must Try

• 10 Advanced Git Techniques

• Enhance Your Python Coding Style with Ruff

• Rust Burn Library for Deep Learning

• Mojo: A Revolutionary New Programming Language for Building AI Applications

• 5 Highest-paid Languages to Learn This Year

• 7 Ways ChatGPT Makes You Code Better and Faster

• Getting Started with GitHub CLI

• 3 Julia Packages for Data Visualization

Data Science

• Top 5 Linux Distro for Data Science

• The Top 5 Alternatives to GitHub for Data Science Projects

• Create Stunning Data Viz in Seconds with ChatGPT

• Top 10 Data Science Tools To Use in 2024

• 5 Ways You Can Use ChatGPT Vision for Data Analysis

• Top 7 Free Cloud Notebooks for Data Science

• 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science

• The Evolution of Tabular Data: From Analysis to AI

• Top 10 ChatGPT Plugins for Data Science

• Claude vs. ChatGPT: Which AI Assistant Should Data Scientists Choose in 2023?

• Pandas AI: Your Guide to Generative AI-Powered Data Analysis

• 10 Jupyter Notebook Tips and Tricks for Data Scientists

• Unlocking the Potential of Google Bard for Data Science Projects

• 5 Essential AI Tools for Data Science

• 5 Advance Projects for Data Science Portfolio

• A Guide to Using ChatGPT For Data Science Projects

• T-tests in R Tutorial: Learn How to Conduct T-Tests

• 5 More Command Line Tools for Data Science

• PySpark for Data Science

Machine Learning (ML)

• Streamline Your Machine Learning Workflow with Scikit-learn Pipelines

• Building a Convolutional Neural Network with PyTorch

• Hands-On with Unsupervised Learning: K-Means Clustering

• Using SHAP Values for Model Interpretability in Machine Learning

• What is Machine Listening? Definition, Types, Use Cases

• The Curse of Dimensionality in Machine Learning: Challenges, Impacts, and Solutions

• What is Similarity Learning? Definition, Use Cases & Methods

• What are Neural Networks?

• What is Overfitting?

• What is a Generative Model?

• What is Online Machine Learning?

• What is Feature Learning?

• Time Series Analysis: ARIMA Models in Python

• What is Sample Complexity?

• Introduction to Safetensors

• What is Synthetic Data?

• What is Unlabeled Data?

• What is Labeled Data?

• An Introduction to SHAP Values and Machine Learning Interpretability

• What is Incremental Learning?

• What is Affective Computing?

• What is Lazy Learning?

• What is Machine Perception?

• K-Nearest Neighbors (KNN) Classification with R Tutorial

• PyTorch 2.0: Unveiling the Latest Updates and Insights with Code Examples

• 7 Best Tools for Machine Learning Experiment Tracking

• Building Neural Network (NN) Models in R

• Encoding Categorical Features with MultiLabelBinarizer

Machine Learning Operations (MLOps)

• 7 Steps to Mastering MLOPs

• Using Prefect for Machine Learning Workflows

• Top 7 Model Deployment and Serving Tools

• GitHub Actions For Machine Learning Beginners

• A Beginner’s Guide to CI/CD for Machine Learning

• The Only Free Course You Need To Become a MLOps Engineer

• Overview of PEFT: State-of-the-art Parameter-Efficient Fine-Tuning

• Deploying Your First Machine Learning Model

• Build AI Chatbot in 5 Minutes with Hugging Face and Gradio

Natural Language Processing (NLP)

• What is Tokenization? Types, Use Cases, Implementation

• What is Named Entity Recognition (NER)? Methods, Use Cases, and Challenges

• What is Text Generation?

• Bark: The Ultimate Audio Generation Model

• Speech to Text Made Easy with the OpenAI Whisper API

Large Language Models (LLMs)

• Introduction to ChatGPT Next Web (NextChat)

• Fine Tuning Google Gemma: Enhancing LLMs with Customized Instructions

• Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini

• Getting Started with Phi-2

• Running Mixtral 8x7b On Google Colab For Free

• Comprehensive Guide to Zephyr-7B: Features, Usage, and Fine-tuning

• A Simple Guide to Running LlaMA 2 Locally

• 5 Tools to Help Build Your LLM Apps

• The 5 Best Vector Databases You Must Try in 2024

• Mistral 7B Tutorial: A Step-by-Step Guide to Using and Fine-Tuning Mistral 7B

• Introduction to Falcon 40B: Architecture, Training Data, and Features

• Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model

• What is LaMDA?

• The Pros and Cons of Using Large Language Models (LLMs) in the Cloud vs. Running LLMs Locally: Which Is Right for You?

• StarCoder: The Coding Assistant That You Always Wanted

• The Ultimate Open-Source Large Language Model Ecosystem

• Open Assistant: Explore the Possibilities of Open and Collaborative Chatbot Development

• Dolly 2.0: ChatGPT Open Source Alternative for Commercial Use

• ChatGPT and GPT-4 Open Source Alternatives that are Balancing the Scales

• 8 Open-Source Alternative to ChatGPT and Bard

• How Watermarking Can Help Mitigate The Potential Risks Of LLMs?

Computer Vision

• StableDiffusion Web UI: A Comprehensive User Guide for Beginners

• 3 Ways to Generate Hyper-Realistic Faces Using Stable Diffusion

• Fine-tuning Stable Diffusion XL with DreamBooth and LoRA

• What is DALL-E?

• What is Image Recognition?

Artificial Intelligence (AI)

• Learn How to Use ChatGPT Next Web (NextChat) for Free

• The 8 AI Search Engines That You Should Replace Google With

• 5 Ways To Use LLMs On Your Laptop

• Getting Started with Claude 3 and the Claude 3 API

• Discover the Power of the New Gemini AI Models

• Using Lightning AI Studio For Free

• How to Access and Use Gemini API for Free

• Getting Started with the Claude 2 and Anthropic API

• Using Google’s NotebookLM for Data Science: A Comprehensive Guide

• Getting Started with Claude 2 API

• Top 10 AI Startups to Work for in India

• The Generative AI Bubble Will Burst Soon

• Top 5 Free Alternatives to GPT-4

• 5 Amazing & Free LLMs Playgrounds You Need to Try in 2023

• Build Your Own PandasAI with LlamaIndex

• Learn How to Use Chroma DB: A Step-by-Step Guide

• 7 Essential Generative AI Tools for Building Stand-Out AI Applications

• Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever

• 7 Exciting AI Projects for Beginner, Intermediate, and Advanced Learners

• Top 10 ChatGPT Plugins for Data Science

• What is Superalignment & Why It is Important?

• What is Narrow AI?

• 3 Ways to Access Claude AI for Free

• Introducing OpenChat: The Free & Simple Platform for Building Custom Chatbots in Minutes

• Using ChatGPT for Translation Effectively

• Strategies for Effective Brainstorming with ChatGPT

• ChatGPT as Your Expert Helper

• AgentGPT: Autonomous AI Agents in your Browser

• Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and Claude

• Super Bard: The AI That Can Do It All and Better

• Introduction to Meta AI’s LLaMA: Empowering AI Innovation

• 3 Free Platforms for Personalized ChatGPT Experience

• 8 Free AI and LLMs Playgrounds

• 3 Ways to Access GPT-4 for Free

• MiniGPT-4: A Lightweight Alternative to GPT-4 for Enhanced Vision-language Understanding

• 5 Projects Build with Generative Models and Open Source Tools

• Post GPT-4: Answering Most Asked Questions About AI

• Unlock the Wealth of Knowledge with ChatPDF

• OpenChatKit: Open-Source ChatGPT Alternative

• The Latest On OpenAI, Google AI, and What it Means For Data Science

• 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2

Data Engineering

• 7 Steps to Mastering Data Engineering

• 5 Airflow Alternatives for Data Orchestration

• The Only Free Course You Need To Become a Professional Data Engineer

• The Top 5 Data Management Tools For Your Projects

Career Guidance Resources

GitHub Repositories

• 10 GitHub Repositories to Master Python

• 10 GitHub Repositories to Master Computer Science

• 10 GitHub Repositories to Master MLOps

• 10 GitHub Repositories to Master Machine Learning

Career Advice

• 7 Things Students Are Missing in a Data Science Resume

• 7 High Paying Side Hustles for Data Scientists

• 5 Free Platforms for Building a Strong Data Science Portfolio

• 5 Portfolio Projects for Final Year Data Science Students

• How to Choose The Best Data Science Bootcamp in 2023

• 5 Mistakes I Made While Switching to Data Science Career

• How to Get Hired as Data Scientist in the GPT-4 Era

• 3 Things I Wish I Knew When I Started Data Science

Guides

• Collection of Guides on Mastering SQL, Python, Data Cleaning, Data Wrangling, and Exploratory Data Analysis

• 5 Super Cheat Sheets to Master Data Science

Interviews

• 26 Data Science Interview Questions You Should Know

• Top 7 Essential Cheat Sheets To Ace Your Data Science Interview

• 28 Top Data Scientist Interview Questions For All Levels (Start Here)

Free Books

• 5 Free Books to Learn Statistics

• 25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

• 5 Free Julia Books For Data Science

• 5 Free Data Science Books You Must Read in 2023

Free Courses

• 5 MIT Statistics Courses That Are Free

• A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

• Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

• Enroll in a Data Science Undergraduate Program For Free

• Read This Before You Take Any Free Data Science Course

• Enroll in a 4-year Computer Science Degree Program For Free

• 25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI

• Generative AI with Large Language Models: Hands-On Training

• A Complete Collection of Data Science Free Courses – Part 2

• A Complete Collection of Data Science Free Courses – Part 1

Books

• Maximizing Productivity with ChatGPT by Abid, Matthew, Kanwal, & Adrian

• Everything You Need to Know About MLOps: A KDnuggets Tech Brief - Ebook

• The Complete Collection of Data Science Cheat Sheets - Ebook

Cheat Sheets

• 10 ChatGPT Projects Cheat Sheet

• Scikit-learn for Machine Learning Cheat Sheet

• Python Control Flow Cheat Sheet

• LangChain Cheat Sheet

• Best Python Tools for Building Generative AI Applications Cheat Sheet

• AI Chrome Extensions for Data Scientists Cheat Sheet

• 10 ChatGPT Plugins for Data Science Cheat Sheet

• ChatGPT for Data Science Interview Cheat Sheet

• RAPIDS cuDF Cheat Sheet

• Machine Learning with ChatGPT Cheat Sheet

• Plotly Express for Data Visualization Cheat Sheet

• GitHub CLI for Data Science Cheat Sheet

• ChatGPT for Data Science Cheat Sheet

• Streamlit for Machine Learning Cheat Sheet

• Markdown Cheatsheet

• Linux for Data Science Cheatsheet

• Git for Data Science Cheatsheet

• Getting Started with Pandas Cheatsheet

• Getting Started with SQL Cheatsheet