H4RB1D3L

Python || AI Research || Machine Learning || Data Science Expert || NLP

[H4RB1D3L @Harbidel]

@danielajisafe @CVPR @cveu_workshop @RBCBorealis @UBC_CS Well done and congratulations 🎉🎊 to you @danielajisafe and your team on this amazing work

[#SirDaniel @danielajisafe]

📌Our work on controllable video generation is being presented at the @CVPR 2026 AI for Creative Visual Content Workshop!

💡TLDR: ironically, minor deviations from control signals allow for better control adherence.

🧵(1/n)
#CVPR2026 @cveu_workshop @RBCBorealis @UBC_CS

[Ridot Software Academy @Ridot_software]

TRAINER SPOTLIGHT ✨✨✨ Meet Afolabi Abeeb, a seasoned Data Scientist & Machine Learning expert. His expertise in Phyton, R, and modern ML framework is helping shape the next generation of women in tech.

[H4RB1D3L @Harbidel]

@_hxmmed @Salmahpopcorn Congratulations 🎉🎊 Big boss, Barokallahu fiikum

[Ahmed Olanrewaju @abono2000]

IndabaX Nigeria 2025 ✅
Grateful to @SummitUniOffa President of @Ansarudeenhq , our sponsors, and @DeepIndaba for powering this success. 🙌
Massive thanks to the @IndabaXNigeria LOC, participants, and the amazing staff & students of SUO. Together, we made it impactful! 🇳🇬

[Saheedniyi @saheedniyi_02]

Hello world🔥🚀!

I am excited to announce the release of YarnGPT, YarnGPT is a family of open source text to speech models built for Nigerian🇳🇬 accented English (YarnGPT) and native languages (YarnGPT-local).

It was built on top of SmolLM2-360M by @huggingface

A thread🧵...

[H4RB1D3L @Harbidel]

🎓 Excited to share my latest article on Medium! 📊 Dive into the fundamentals of Ordinary Least Squares (OLS) regression with me as we unpack its key insights and practical applications in predictive modeling.

https://t.co/cZR2ARwD71
#machine_learning #DataScientists

[Name cannot be blank @hackSultan]

Twitter we up.
I’ll use the 20M to support the tech career of 166 people with 120k each. So let’s get the 5k likes.

If you’re earning less than 300k/month, and you want to transition into tech, fill this form and I’ll recommend a course for you and also assist with your school fees.

Link: https://t.co/hu64xFCHas

[H4RB1D3L @Harbidel]

Do you remember when you joined X? I do! #MyXAnniversary

[Lawal Adeola @azlawal_lawal]

Breakout room session, live in room 5

Revolutionizing Data Processing with GPU Power: Introducing Rapids. It's all about Rapid with @Harbidel
#MivaIndabaXperience2024
@indabaxnigeria @mivauniversity
#indabaxnigeria2024

[Scholarship for PhD @ScholarshipfPhd]

10 tips on how we Write Paper (1/3)

[Scholarship for PhD @ScholarshipfPhd]

Writing a scientific article: A Step-by-Step Guide for Beginners (1/7)

[wen👩🏻‍💻 @ds_wen_]

Basic Recommender Systems #DataDriven https://t.co/lohc55kReH

[Python Programming @PythonPr]

How to create an accurate Chat Bot Response System using Python
#python
https://t.co/mG0TnYak08

[Python Programming @PythonPr]

Build & Deploy Full Stack AI Web App
#python #django #postgresql #tailwind #openai
https://t.co/6DQwv3k4hs

[Python Programming @PythonPr]

Face Recognition Based Attendance System Using Python
#python
https://t.co/nJ2W5007FS

[Code Geek @codek_tv]

Build a Simple DevOps Project with Jenkins CI/CD
#devops #devopsproject #cicd
https://t.co/LI6COQJuxD

[MilaNLP @MilaNLProc]

#MemoryMonday #NLProc

"Text Analysis in Python for Social Scientists – Discovery and Exploration" by Dirk Hovy offers basic analysis methods of natural language processing to social scientists for extracting information from abundant text.

https://t.co/x5KGIIcWes

[wen👩🏻‍💻 @ds_wen_]

t-SNE Machine Learning Algorithm — A Great Tool for Dimensionality Reduction in Python https://t.co/a5ZngKgMjS

[Akshay 🚀 @akshay_pachaar]

Scikit-LLM: Sklearn Meets Large Language Models!

Seamlessly integrate powerful language models like ChatGPT into the scikit-learn ecosystem for enhanced text analysis tasks.

It aims to provide a convenient interface for leveraging LLMs in various machine learning pipelines, particularly those involving text data.

Here's what you can do with Scikit-LLM:

🔹Zero-Shot Text Classification:

It offers a `ZeroShotGPTClassifier` that allows text classification without re-training the model. The classifier works with descriptive labels.

🔸Few-Shot Text Classification

The `FewShotGPTClassifier` allows for few-shot classification, where training samples are added to the prompt and passed to the model.

🔹Dynamic Few-Shot Text Classification:

The `DynamicFewShotGPTClassifier` dynamically selects samples per class to include in the prompt, allowing the classifier to scale to larger datasets.

🔸Text Classification with Google PaLM 2:

It supports PaLM-based models like `ZeroShotPaLMClassifier`, `PaLMClassifier`, and `PaLM` for various text classification tasks.

🔹Text Vectorization:

The `GPTVectorizer` can be used for data preprocessing to embed text into fixed-dimensional vectors.

🔸LLM Fine-Tuning:

It supports fine-tuning scenarios for text classification and text-to-text tasks.

🔹Text Summarization:

The `GPTSummarizer` can be used as a stand-alone estimator or as a preprocessor for text summarization.

🔸Text Translation:

The `GPTTranslator` allows translating text into different languages.

I have linked the official GitHub repo in next tweet!

If you liked this content & are interested in:

- Python 🐍
- ML/MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠

Find me → @akshay_pachaar ✔️
Everyday, I share tutorials on above topics!

Thanks for reading!🥂