Mastering Ensemble Methods and Hyper-parameter Tuning with Python- Utkarsh Srivastava- Deloitte- 2023

Harnessing the Power of Artificial Intelligence: Practical Applications and Solutions-  Nafisa Lawal Idris- Greysoft Technologies - 2023

Software Career Advice's- Anil Kus- Toros University- 2023

Using Statistical Methods as Benchmarks for Training ML Models- Samit Ahlawat- J.P. Morgan Chase- 2023

XGBoost for tabular data- Luca Massaron- illimity Bank- 2023

How to Maximize Business Profit and Growth with Dataset from Google Trends- Ome Chukwuemeka, ZeroTen Technologies- 2023

Generative AI- Muhammad Imran Zaman- Full Stack Technologies- 2023

How to dive into data science- Riya Eliza Shaju- Master's Student at University of British Columbia- 2023

Exploratory Data Analysis using Python- Shuba Kanthakere- Biju's EdTech- 2023

Emerging and fascinating field of science: Deep Learning in Neuroscience- Julia Suzuki- Michigan Wellness Council - 2023

Beginner's Guide to Being a Good Data Detective (Career Development)- Shubham Trivedi- Varsity Tutors- 2023

Large Language Models: Challenges, Trends and Way Forward- Aditya Jain - Meta- 2023

Telling stories with data - Nathalie Saravia- Soporte de Negocios- 2023

Building Your Own Search Engine with Large Language Models- Maryam Moadeli- RBC- 2023

Combination of Gis, Machine Learning, and Computer Vision Technologies on Satellite Images and Maps- Yassine Elhallaoui- STRYDE- 2023

How to get into the Data Science industry as a fresher and the type of challenges faced in the real-world- Debadri Dutta- Pfizer- 2023

[Spanish Speaking Session] 10 Tips to join Kaggle Competition using R models (How to become Kaggle Expert) - Omar Vivas Cortez- Alimentos Polar Colombia- 2023

Importance of choosing correct evaluation metrics and avoiding pitfalls in Credit Risk modeling- Vedang Bhardwaj- Khatabook- 2023

NLP : Introduction to Generative & How to think about Data Science Projects - Anuj Saini- RPX- 2023

A Journey into Decision Trees - From Math to Machine Learning- Muthumanicakvel Swaminathan- Cognizant- 2023

Deep Time Series Classification- Ihababdelbasset Annaki- University Mohammed First - 2023

ML and Data Analysis for future applications- Nagesh Somayajula- C Health- 2023

Predictive Modeling with Machine Learning for Customer Churn Analysis- Emmanuel Masavo Djegou- Missouri S&T- 2023

Machine Learning For Genomics- Salman Eunus- Genofax- 2023

Mastering the Art of Visualizing Data- Durgesh Rao- Upwork- 2023

A Comprehensive Overview of Vision Language Models: Towards Multi-Modal Deep Learning- Aastha Singh- SparkCognition- 2023

Bias, AI, and Ethics- Mauro Bennici- H &D- 2023

Testing of ML systems, "What I wish I knew when I deployed my first ML system" - Marcus Elwin- Tink AB - 2023

Building scalable dashboard with Shiny Python, Polars and Lets_plot - Daniel Boadzie - Hubtel- 2023

From Wall Street to Data Science: Translating Financial Concepts into Analytics - Shivay Shakti- CleverTap- 2023

How Quantum Technologies can be applied to data Science - Ammar Jamshed- AI Datayard- 2023

Human or AI in the Loop? - Dorukhan Afacan - Getir- 2023

ChatGPT Fine-Tuning and Model Retraining using Custom data- Muhammad Imran Zaman- Full Stack technologie- 2023

Low-code Machine Learning- Krupa Galiya- PatternAI- 2023

Scalable Machine Learning System Design- Hsin- Wen Chang- Zealogics | WorldQuant Brain- 2023

Why should you collect data on Kaggle - Gabriel Preda- Endava- 2023

How to think of Data Science Projects - Anuj Saini- RPX- 2023

Machine Learning Model Risk Management - Kriti Doneria- Decision Point Analytics- 2023

What after ML?Exploring global certifications, research options and career choices - Jithendra Katta- Speech Research Group @KLU- 2023

Natural Language Processing: Learn different ways of solving NLP problems - Anju Saini- RPX- 2023

Enabling Possibilities with Open-Source in ML- Sayack Paul- Hugging Face- 2023

Cyber Security and Artificial Intelligence - The way forward- Dr. Subrahmanya Rao- Dhana Inc.- 2023

Network Quantizations with special inclusion of 1 bit quantization topics- Nishchal Gaba- Prodigal AI Technologies - 2023

Conversational AI - Bavalpreet Singh and Sahibpreet Singh - Tatras Data - 2023

The Power of Data and AI - Saraswati Tiwari - CakeAI - 2023

The Data Analysis Process - Abdulwasiu Tiamiyu - Ingressive - 2022

Accelerate Machine Learning using JAX - Usha Rengaraju - Exa Protocol - 2022

It is time to talk, as Dev, about the ethics of AI - Mauro Bennici - Ethical Intelligence Associates, Limited - 2022

How ML can help us in Real time data use cases - Vishal Siram - Statusneo -2022

Personalization, Privacy, and Me  - Ernesto Diaz-Aviles - Libre AI - Applied ML Talk - 2021 

Applied Optuna for Hyperparameter Optimization in BERT and GPT2 models wei - Hsin Wen Chang - Zealogics LLC - 2021

Becoming a better data scientist through Kaggle competitions - Qingchen Wang- University of Hong Kong - 2021

Building a Data Science Team and ML Systems at Kaggle - Wendy Kan - Google Ads- 2021

Extractive and Abstractive summarization advancements - Prasun Mishara - Tavant - 2021

From a psychology degree to ML at Google Cloud- Polong Lin - Google - 2021

How to write production-ready and reusable Python code for Data Science pr- Thomas Seleck- BNP Paribas- 2021

Introduction to Interpretable Machine Learning- Parul Pandey- H2O.ai- 2021

Making Better Charts for ML- J.P Miller- H2O.ai- 2021

Test Driven Data Science- Dorukhan Afacan- Global Maksimum AI Team- 2021

The Unintentional Unicorn- Jesse Mostipak- RStudio PBC- 2021

How to create to a TFRecord File for computer vision and object detection- Usha Rengaraju - Exa Protocol- 2021