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Postlar arxiv
👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python
👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars. ✏️ It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more. ✅ Why should we use it? 🔢 For learning: If you're looking to learn algorithms in action, this is great. 🔢 For practice: You can take the codes, run them, and modify them to better understand. 🔢 For projects : You can even use the codes here in real-life or academic projects. 🔢 For interviews: If you're preparing for data science interviews, this is full of practical algorithms. 🏳️‍🌈 The Algorithms - Python └ 🐱 GitHub-Repos

🔗 Types of Machine Learning
🔗 Types of Machine Learning

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Machine Learning Algorithms every data scientist should know: 📌 Supervised Learning: 🔹 Regression ∟ Linear Regression ∟ Ridge & Lasso Regression ∟ Polynomial Regression 🔹 Classification ∟ Logistic Regression ∟ K-Nearest Neighbors (KNN) ∟ Decision Tree ∟ Random Forest ∟ Support Vector Machine (SVM) ∟ Naive Bayes ∟ Gradient Boosting (XGBoost, LightGBM, CatBoost) 📌 Unsupervised Learning: 🔹 Clustering ∟ K-Means ∟ Hierarchical Clustering ∟ DBSCAN 🔹 Dimensionality Reduction ∟ PCA (Principal Component Analysis) ∟ t-SNE ∟ LDA (Linear Discriminant Analysis) 📌 Reinforcement Learning (Basics): ∟ Q-Learning ∟ Deep Q Network (DQN) 📌 Ensemble Techniques: ∟ Bagging (Random Forest) ∟ Boosting (XGBoost, AdaBoost, Gradient Boosting) ∟ Stacking Don’t forget to learn model evaluation metrics: accuracy, precision, recall, F1-score, AUC-ROC, confusion matrix, etc.

📦 Exercise Files

📱Artificial Intelligence and Machine Learning 📱Machine Learning Fundamentals for Healthcare

📂 Full description Theres an increased demand to integrate AI and machine learning workflows into many different business sectors. This is especially true in todays unique and constantly evolving global healthcare landscape.In this course, instructor Wuraola Oyewusi provides an overview of how AI and machine learning can optimize healthcare processes, data analysis, health outcomes, and more. Along the way, gather insights drawn from real-world examples to address complex privacy and ethical considerations in the industry. Wuraola also shows you how to utilize machine learning for tabular healthcare datasets using a Google Colab Notebook, including clinical records, classification, predictions, regression, clustering, and localization.

🔅 Machine Learning Fundamentals for Healthcare 🌐 Author: Wuraola Oyewusi 🔰 Level: Beginner ⏰ Duration: 1h 36m 🌀 Get an in
🔅 Machine Learning Fundamentals for Healthcare 🌐 Author: Wuraola Oyewusi 🔰 Level: BeginnerDuration: 1h 36m
🌀 Get an introduction to the fundamentals of machine learning and AI in this course designed for healthcare professionals.
📗 Topics: Healthcare Information Technology, Machine Learning 📤 Join Artificial Intelligence and Machine Learning for more courses

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 217k| 🔰 Linkedin Learning Courses 128k| 🔰 Premium Udemy Courses 127k| 🔰 Web Development -◦-◦--◦- 106k| 🔰 Learn Python 095k| 🔰 JavaScript Courses 077k| 🔰 Machine Learning -◦-◦--◦- 065k| 🔰 DevOps Tutorials 059k| 🔰 Learn React and NextJs 057k| 🔰 Data Analysis and Databases -◦-◦--◦- 051k| 🔰 Linux and DevOps 044k| 🔰 100 Days of Python 043k| 🔰 Best Telegram Channels -◦-◦--◦- 040k| 🔰 Business Training 040k| 🔰 ChatGPT Mastery 036k| 🔰 Mobile Development -◦-◦--◦- 035k| 🔰 Zero to Mastery 034k| 🔰 Udemy Learning 032k| 🔰 Codedamn Courses -◦-◦--◦- 032k| 🔰 Linkedin Learning 031k| 🔰 React 101 029k| 🔰 Crypto Lessons -◦-◦--◦- 027k| 🔰 Coding Interview 023k| 🔰 Telegram's Shorts -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 217k| 🔰 Linkedin Learning Courses 128k| 🔰 Premium Udemy Courses 127k| 🔰 Web Development -◦-◦--◦- 106k| 🔰 Learn Python 095k| 🔰 JavaScript Courses 077k| 🔰 Machine Learning -◦-◦--◦- 065k| 🔰 DevOps Tutorials 059k| 🔰 Learn React and NextJs 057k| 🔰 Data Analysis and Databases -◦-◦--◦- 051k| 🔰 Linux and DevOps 044k| 🔰 100 Days of Python 043k| 🔰 Best Telegram Channels -◦-◦--◦- 040k| 🔰 Business Training 040k| 🔰 ChatGPT Mastery 036k| 🔰 Mobile Development -◦-◦--◦- 035k| 🔰 Zero to Mastery 034k| 🔰 Udemy Learning 032k| 🔰 Codedamn Courses -◦-◦--◦- 031k| 🔰 Linkedin Learning 031k| 🔰 React 101 029k| 🔰 Crypto Lessons -◦-◦--◦- 026k| 🔰 Coding Interview 023k| 🔰 Telegram's Shorts -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 217k| 🔰 Linkedin Learning Courses 128k| 🔰 Premium Udemy Courses 127k| 🔰 Web Development -◦-◦--◦- 106k| 🔰 Learn Python 095k| 🔰 JavaScript Courses 076k| 🔰 Machine Learning -◦-◦--◦- 065k| 🔰 DevOps Tutorials 059k| 🔰 Learn React and NextJs 057k| 🔰 Data Analysis and Databases -◦-◦--◦- 050k| 🔰 Linux and DevOps 044k| 🔰 100 Days of Python 043k| 🔰 Best Telegram Channels -◦-◦--◦- 040k| 🔰 Business Training 040k| 🔰 ChatGPT Mastery 036k| 🔰 Mobile Development -◦-◦--◦- 035k| 🔰 Zero to Mastery 034k| 🔰 Udemy Learning 032k| 🔰 Codedamn Courses -◦-◦--◦- 031k| 🔰 Linkedin Learning 031k| 🔰 React 101 029k| 🔰 Crypto Lessons -◦-◦--◦- 026k| 🔰 Coding Interview 023k| 🔰 Telegram's Shorts -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

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fine_tuning_llms_with_hugging_face_partial_code.py0.02 KB

🔅 07 - FineTuning LLMs with Hugging Face Step 4

🔅 06 - FineTuning LLMs with Hugging Face Step 6

🔅 05 - FineTuning LLMs with Hugging Face Step 2

🔅 04 - FineTuning LLMs with Hugging Face Step 4

🔅 03 - FineTuning LLMs with Hugging Face Step 7

🔅 02 - FineTuning LLMs with Hugging Face Step 6

🔅 01 - FineTuning LLMs with Hugging Face Step 5

LLMs Implementation