A Popular Interview Question: Discriminative vs. Generative Models

More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative

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

http://t.me/codeprogrammer ⭐️

Convert PDF to docx using Python

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

http://t.me/codeprogrammer ⭐️

📹 3blue1brown presented the shortest and most understandable lecture on neural networks!

In the new episode, he talks about the mechanism of attention and transformers. The lecture has become even more concise and exciting!

Ideal for absolute beginners and even those who are far from technical.

The author managed to explain the key aspects of the neural network in just 9 minutes using bright graphics and simple examples.

📌 Original

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

http://t.me/codeprogrammer ⭐️

📕 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

http://t.me/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

http://t.me/codeprogrammer ⭐️

Python List Methods clearly Explained

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

http://t.me/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

http://t.me/codeprogrammer ⭐️

List of Running Processes using Python

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

http://t.me/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

http://t.me/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

http://t.me/codeprogrammer ⭐️