📕 Python Basics Made Simple!

📷 Course: AI Python for Beginners

👨‍💻 Instructor: Andrew Ng

In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey.

Enroll Free: https://learn.deeplearning.ai/courses/ai-python-for-beginners

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

https://t.iss.one/codeprogrammer ⭐️

💠 All free Kaggle courses for data science
📁 Along with the course completion certificate

✅ Python ⬅️ link

✅ An introduction to machine learning ⬅️ link

✅ Pandas ⬅️ link

✅ Medium machine learning ⬅️ link

✅ Data visualization ⬅️ link

✅ Feature engineering ⬅️ link

✅ An introduction to the SQL language ⬅️ link

✅ Advanced SQL language ⬅️ link

✅ An introduction to deep learning ⬅️ link

✅ Computer vision ⬅️ link

✅ Time series ⬅️ link

✅ Data cleanup ⬅️ link

✅ Geographical analysis ⬅️ link

✅ Explainability of machine learning ⬅️ link

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

https://t.iss.one/codeprogrammer ⭐️

Python List Methods clearly Explained

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

https://t.iss.one/codeprogrammer ⭐️

🐱 7 of the best GitHub repos
✅ To enter the world of data analysis and data science


1⃣ 100 Days of ML Code repo

✍️ A hundred-day program for learning and practicing machine learning coding.


🔢 Awesome Data Science repo

✍️ A curated list of great data science resources such as books, software, and tools.


🔢 Data Science for Beginners repo

✍️ A repository from Microsoft that has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more.


🔢 Data Science Interviews Repo

✍️ A repository of questions and answers for science job interviews.


🔢 ML Technical Interviews repo

✍️ A good guide for machine learning and artificial intelligence technical interviews.


🔢 ML Interviews repo

✍️ A repository containing machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning.


🔢 Data Science Python Notebooks repo

✍️ A collection of notebooks in various fields of data science such as deep learning, machine learning, data analysis and Python topics.

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

https://t.iss.one/codeprogrammer ⭐️

List of Running Processes using Python

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

https://t.iss.one/codeprogrammer ⭐️

Pandas is getting outdated.

5 reasons you should move to FireDucks 👇

1. Requires changing ONLY ONE line of code:
↳ Replace "𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱" with "𝗶𝗺𝗽𝗼𝗿𝗲 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱"
↳ The rest of the entire code remains the same.
↳ So, if you know Pandas, you already know how to use FireDucks.
↳ Done!

2. Ridiculously faster as per official benchmarks:
↳ Modin had an average speed-up of 0.9x over Pandas.
↳ Polars had an average speed-up of 39x over Pandas.
↳ But FireDucks had an average speed-up of 50x over Pandas.

3. Pandas is single-core; FireDucks is multi-core.

4. Pandas follows eager execution; FireDucks is based on lazy execution. This way, FireDucks can build a logical execution plan and apply possible optimizations.

5. That said, even under eager execution, FireDucks is way faster than Pandas, as depicted in the image below.

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #FireDucks

https://t.iss.one/codeprogrammer ⭐️

Master #DataAnalytics for real-world problems. I have curated a list of 40 Data Analytics Projects (solved & explained) that will help you build analytics skills using #Python.

Includes projects like:

1. Rainfall Trends in India Analysis
2. Netflix Content Strategy Analysis
3. Creating a Mutual Fund Plan
4. Stock Market Portfolio Optimization
5. Metro Operations Optimization
6. Analyzing the Impact of Carbon Emissions

Find this list of projects here:
https://thecleverprogrammer.com/2024/11/01/data-analytics-projects-with-python/

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #deeplearning #Projects

https://t.iss.one/codeprogrammer ⭐️

✅ A comprehensive playlist to step into and master the world of machine learning and data science!


1️⃣ Data Science Principles:

😉 Essential Mathematics for Machine Learning: Link
😉 Overview and commonly used terms: Link
😉 Current interview trends: Link
😉 Linear Regression Guide: Link
😉 Logistic Regression Playlist: Link
😉 Classification criteria: Link
😉 Simple Bayes Classifier: Link
😉 Types of variables: Link
😉 Dimension reduction: Link
😉 Entropy, mutual entropy, KL divergence: link
😉 Dynamic Pricing Overview: Link


2️⃣ Building recommender systems:

😉 Netflix Calibrated Recommendations: Link
😉 Netflix Integrated Recommendation Model: Link
😉 The Evolution of Recommender Systems: Link
😉 Embedding tutorial: Link
😉 Annoy library for approximate nearest neighbor: link
😉 Reducer product for ANN: Link
😉 Model-based account recommendations: Link
😉 PID controller for diversity: link
😉 Instagram Recommender System: Link
😉 LinkedIn CTR Modeling: Link
😉 Meituan's two-tower recommendation model: Link
😉 Scalable Two Tower Model Question-Item: Link
😉 Twitter Recommender Algorithm: Link
😉 eBay language model for recommender system: link
😉 Overcoming biases for recommender systems: Link


3️⃣ Advanced Model Techniques and Applications:

😉 Importance of Model Calibration: Link
😉 Detect and monitor data changes: Link
😉 Neural Networks Training: Link
😉 Analytics-based advertising with Pinterest: Link
😉 Using Pre-trained Bert: Link
😉 Model Compression with Knowledge Distillation: Link
😉 Multi-Armed Bandit Strategies: Link


4️⃣ The world of large language models (LLMs):

😉 Conversational AI: Link
😉 The dual nature of conversational language models: link
😉 Frontier Developments in LLM: Link
😉 Improving the performance of open source LLMs: Link
😉 Building artificial intelligence in Shah Rukh Khan style: Link

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas

https://t.iss.one/codeprogrammer ⭐️

Data Visualization Cheat sheets and Resources

Corpus of 32 DV cheat sheets, 32 DV charts and 7 recommended DV books

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV

https://t.iss.one/codeprogrammer ⭐️

IP Address Information using Python 🖥

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV

https://t.iss.one/codeprogrammer ⭐️