spaCy Resume Analysis

In this project, we will use Spacy for entity recognition on 200 resumes and experiment with various NLP tools for text analysis. The main purpose is to help recruiters quickly go through hundreds of applications. We have also added a skills-matching feature.

Analyzing and Predicting Consumer Engagement

In this project, we will use the Internet News and Consumer Engagement dataset from Kaggle to predict top article and popularity score. We will explore the data to discover patterns, such as correlation, distribution, mean, time series analysis, text regression, and text classifier.

Vaccine Update Dashboard

In this project, I used Pandas for web scraping data from pharmaceutical-technology.com. Then, I created a Sqlite3 database with three tables to store the data. It took several attempts to get everything working smoothly. The notebook is fully automated with interactive plots.

Yoga Pose Classification with DagsHub Streaming

In this project, we will fine-tune the ResNet34 model to classify Yoga Poses using DagsHub streaming.

Urdu Automatic Speech Recognition State of the Art Solution

In this project, we will fine-tune the Facebook/wav2vec2-Xls-r-300m model on the Urdu subset of the common_voice dataset licensed under CC-0. This model architecture has enabled data scientists to develop state-of-the-art speech-to-text applications in over 80 languages.

ChatGPT For Data Science Projects

In this tutorial, we will learn how to use ChatGPT for an end-to-end data science project. We will create a project outline, write Python code, conduct research, and debug the application using various prompts. Additionally, we will explore tips for writing effective prompts.

Getting Started with SHAP Values

This tutorial covers SHAP values and how to interpret machine learning results with the SHAP Python package.

LlamaIndex: Adding Personal Data to LLMs

LlamaIndex is your friendly data sidekick for building LLM-based apps. You can easily ingest, manage, and retrieve both private and domain-specific data using natural language.

Converting Speech to Text with the OpenAI Whisper API

Discover the powerful capabilities of OpenAI Whisper Python API for transcription and translation. It comes with multi-language support and prompt enhancement for accurate transcription.

Time Series Analysis: ARIMA Models in Python

ARIMA models are a popular tool for time series forecasting and can be implemented in Python using the `statsmodels` library.

A Complete Guide to Data Augmentation

Learn about data augmentation techniques, applications, and tools with a TensorFlow and Keras tutorial.

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

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

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

Learn how Parameter-Efficient Fine-Tuning techniques like LoRA enable efficient adaptation of large language models using limited compute resources.

Mistral 7B Tutorial

The tutorial covers accessing, quantizing, fine-tuning, merging, and saving this powerful 7.3 billion parameter open-source language model.

Fine-tuning Stable Diffusion XL with DreamBooth and LoRA

In this tutorial, we will learn about Stable Diffusion XL and Dream Booth, and how to access the image generation model using the diffuser library. Additionally, we will learn to fine-tune the model on personal photos and evaluate its performance. If you're a newcomer to AI, we suggest taking an AI

StableDiffusion Web UI: A Comprehensive User Guide for Beginners

Learn how to install and use Stable Diffusion Web UI easily to generate high-quality images on your laptop.

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

Learn everything about Zephyr-7B, including its training, how to access it, and how to fine-tune it on a custom database using free Kaggle GPUs.

How to Access and Use Gemini API for Free

Learn how to integrate advanced AI multimodal models into your project using a simple Python API.

OpenAI Function Calling Tutorial

Learn how OpenAI's new Function Calling capability enables GPT models to generate structured JSON output, resolving common dev issues caused by irregular outputs.

AutoML Discovery and Approach - ML 070

AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to share his approach to AutoML, when and how to utilize it compared to classic approaches. Ben and Abid also discuss open-source vs. proprietary platforms.

CI/CD For Machine Learning

In this project, we will be using scikit-learn pipelines to train our random forest algorithm and build a drug classifier. After training, we will automate the evaluation process using CML. Finally, we will build and deploy the web application to Hugging Face Hub.

Machine Learning Workflow with Scikit-learn Pipelines

Learn how to enhance the quality of your machine learning code using Scikit-learn Pipeline and ColumnTransformer.

Getting Started with Claude 3 and the Claude 3 API

Learn about the Claude 3 models, detailed performance benchmarks, and how to access them. Additionally, discover the new Claude 3 Python API for generating text, accessing vision capabilities, and streaming.

Go Lang For Data Science

Learn how to perform data analysis, data visualization, and model training in GoLang, just like Python.

GitHub Actions For Machine Learning Workflows

Learn how to automate machine learning training and evaluation using scikit-learn pipelines, GitHub Actions, and CML.

ML Workflow Orchestration With Prefect

Learn everything about a powerful and open-source workflow orchestration tool. Build, deploy, and execute your first machine learning workflow on your local machine and the cloud with this simple guide.