Python | Machine Learning | Coding | R 3844

👫

Preparing for Data Science Interviews

👨🏻‍💻 I've been collecting a variety of data science interview questions for different positions for a few weeks now.

✅

I covered everything, from basic to advanced:

Common Data Science and ML Questions (34 questions)

Regression (22 questions)

Classification (39 questions)

SVM algorithms, decision tree

Simple Bayes and statistical discussions and...

🚨 This list is regularly updated and categorized so that you can easily prepare for the interview step by step.👇

┌

📝

Interview Questions
└

🐱

GitHub-Repos

#DataScience #InterviewPrep #MLInterviews #DataScientist #MachineLearning #TechCareers #DSInterviewQuestions #GitHubResources #CareerInDataScience #CodingInterview

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤7💯2

6.27K views17:56

Python | Machine Learning | Coding | R

Polars.pdf

391.5 KB

📖 A comprehensive cheat sheet for working with Polars

🌟 Have you ever worked with pandas and thought that was the fastest way? I thought the same thing until I worked with Polars.

✏️ This cheat sheet explains everything about Polars in a concise and simple way. Not just theory! But also a bunch of real examples, practical experience, and projects that will really help you in the real world.

┌ 🐻‍❄️ Polars Cheat Sheet
├ ♾️ Google Colab
└ 📖 Doc

#Polars #DataEngineering #PythonLibraries #PandasAlternative #PolarsCheatSheet #DataScienceTools #FastDataProcessing #GoogleColab #DataAnalysis #PythonForDataScience

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤10👍4

10.6K views05:32

Python | Machine Learning | Coding | R

Anyone trying to deeply understand Large Language Models.

Checkout

Foundations of Large Language Models

by Tong Xiao & Jingbo Zhu. It’s one of the clearest, most comprehensive resource.

⭐️ Paper Link: arxiv.org/pdf/2501.09223

#LLMs #LargeLanguageModels #AIResearch #DeepLearning #MachineLearning #AIResources #NLP #AITheory #FoundationModels #AIUnderstanding

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤14

7.11K viewsedited 06:35

Python | Machine Learning | Coding | R

Supervised Learning: Classification and Regression

Download: https://faculty.ucmerced.edu/mcarreira-perpinan/teaching/CSE176/lecturenotes.pdf

#SupervisedLearning #MachineLearning #Classification #Regression #MLNotes #DataScience #AIResources #MLTheory #MLLectures #LearnML

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤4

9.19K viewsedited 08:43

Python | Machine Learning | Coding | R

Please open Telegram to view this post

VIEW IN TELEGRAM

❤9

08:52

Python | Machine Learning | Coding | R

Self-attention in LLMs, clearly explained

#SelfAttention #LLMs #Transformers #NLP #DeepLearning #MachineLearning #AIExplained #AttentionMechanism #AIConcepts #AIEducation

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤8💯2👨‍💻1

5.54K views12:44

Python | Machine Learning | Coding | R

Forwarded from Python | Machine Learning | Coding | R

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅

https://www.tgoop.com/addlist/8_rRW2scgfRhOTc0

✅

https://www.tgoop.com/Codeprogrammer

Please open Telegram to view this post

VIEW IN TELEGRAM

5❤5

3.28K views05:18

Python | Machine Learning | Coding | R

🥇 40+ Real and Free Data Science Projects

👨🏻‍💻 Real learning means implementing ideas and building prototypes. It's time to skip the repetitive training and get straight to real data science projects!

🔆 With the DataSimple.education website, you can access 40+ data science projects with Python completely free ! From data analysis and machine learning to deep learning and AI.

✏️ There are no beginner projects here; you work with real datasets. Each project is well thought out and guides you step by step. For example, you can build a stock forecasting model, analyze customer behavior, or even study the impact of major global events on your data.

┌

🏳️‍🌈

40+ Python Data Science Projects
└ 🌎 Website

#DataScience #PythonProjects #MachineLearning #DeepLearning #AIProjects #RealWorldData #OpenSource #DataAnalysis #ProjectBasedLearning #LearnByBuilding

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤9👍1💯1🆒1

9.36K views11:51

Python | Machine Learning | Coding | R

Forwarded from Data Science Jupyter Notebooks

🐍Looking to get started with Deep Learning using PyTorch?

This well-structured GitHub repository is a goldmine for beginners who want to learn PyTorch with hands-on examples and clear explanations📖.

🗂

What’s Inside?

🈂 Jupyter Notebooks with interactive code.
🧠 Step-by-step tutorials on Tensors, Autograd, and Neural Networks.
🖼 Real-world mini-projects like image classification.
⌛ Practical guides on using GPU with PyTorch.
✅ Beginner-friendly but also great for revision.

💡If you're serious about learning AI, this is one of the best free resources to kick off your journey🤝.

🖥

GitHub

✈️ Our Telegram channels⬅️

📱 Our WhatsApp channel⬅️

Please open Telegram to view this post

VIEW IN TELEGRAM

❤5👍3🔥1

5.17K views05:00

Python | Machine Learning | Coding | R

Mathematics for Computer Science

Book Details

- Discrete Mathematics: An Open Introduction
- By Oscar Levin
- 2025 Edition
- 547 pages

🔗 Download the Book
discrete.openmathbooks.org/pdfs/dmoi4.pdf

#MathematicsForCS #DiscreteMathematics #ComputerScience #MathForProgrammers #OpenSourceBooks #CSFundamentals #OscarLevin #MathForDevelopers #LearnDiscreteMath #CS2025

✈️ Our Telegram channels⬅️

📱 Our WhatsApp channel⬅️

Please open Telegram to view this post

VIEW IN TELEGRAM

❤14👍4🔥1

6.86K views13:57

Python | Machine Learning | Coding | R

🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸

Join our channel today for free! Tomorrow it will cost 500$!

https://www.tgoop.com/+Y4vkzbTTshVhYTQ1

You can join at this link! 👆👇

https://www.tgoop.com/+Y4vkzbTTshVhYTQ1

❤9👾2👎1👨‍💻1

25.6K views14:35

Python | Machine Learning | Coding | R

Get important resources from books and courses

The number is very limited
https://www.tgoop.com/+r_Tcx2c-oVU1OWNi

Data Science Premium (Books & Courses)

access to thousands of valuable resources, including essential books and courses.

Paid books
Paid courses from coursera and Udemy
Paid project

❤8👍1👨‍💻1

7.85K views18:46

Python | Machine Learning | Coding | R

Step-by-Step Guide to Deploying Machine Learning Models with FastAPI and Docker

https://machinelearningmastery.com/step-by-step-guide-to-deploying-machine-learning-models-with-fastapi-and-docker/

✈️ Our Telegram channels⬅️

📱 Our WhatsApp channel⬅️

Please open Telegram to view this post

VIEW IN TELEGRAM

❤15

7.41K viewsedited 17:05

Python | Machine Learning | Coding | R

𝗬𝗼𝘂𝗿_𝗗𝗮𝘁𝗮_𝗦𝗰𝗶𝗲𝗻𝗰𝗲_𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄_𝗦𝘁𝘂𝗱𝘆_𝗣𝗹𝗮𝗻.pdf

7.7 MB

1. Master the fundamentals of Statistics

Understand probability, distributions, and hypothesis testing

Differentiate between descriptive vs inferential statistics

Learn various sampling techniques

2. Get hands-on with Python & SQL

Work with data structures, pandas, numpy, and matplotlib

Practice writing optimized SQL queries

Master joins, filters, groupings, and window functions

3. Build real-world projects

Construct end-to-end data pipelines

Develop predictive models with machine learning

Create business-focused dashboards

4. Practice case study interviews

Learn to break down ambiguous business problems

Ask clarifying questions to gather requirements

Think aloud and structure your answers logically

5. Mock interviews with feedback

Use platforms like Pramp or connect with peers

Record and review your answers for improvement

Gather feedback on your explanation and presence

6. Revise machine learning concepts

Understand supervised vs unsupervised learning

Grasp overfitting, underfitting, and bias-variance tradeoff

Know how to evaluate models (precision, recall, F1-score, AUC, etc.)

7. Brush up on system design (if applicable)

Learn how to design scalable data pipelines

Compare real-time vs batch processing

Familiarize with tools: Apache Spark, Kafka, Airflow

8. Strengthen storytelling with data

Apply the STAR method in behavioral questions

Simplify complex technical topics

Emphasize business impact and insight-driven decisions

9. Customize your resume and portfolio

Tailor your resume for each job role

Include links to projects or GitHub profiles

Match your skills to job descriptions

10. Stay consistent and track progress

Set clear weekly goals

Monitor covered topics and completed tasks

Reflect regularly and adapt your plan as needed

#DataScience #InterviewPrep #MLInterviews #DataEngineering #SQL #Python #Statistics #MachineLearning #DataStorytelling #SystemDesign #CareerGrowth #DataScienceRoadmap #PortfolioBuilding #MockInterviews #JobHuntingTips

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤14👍1

9.67K views06:28

Python | Machine Learning | Coding | R

rnn.pdf

5.6 MB

🔍 Understanding Recurrent Neural Networks (RNNs) Cheat Sheet!
Recurrent Neural Networks are a powerful type of neural network designed to handle sequential data. They are widely used in applications like natural language processing, speech recognition, and time-series prediction. Here's a quick cheat sheet to get you started:

📘 Key Concepts:
Sequential Data: RNNs are designed to process sequences of data, making them ideal for tasks where order matters.
Hidden State: Maintains information from previous inputs, enabling memory across time steps.
Backpropagation Through Time (BPTT): The method used to train RNNs by unrolling the network through time.

🔧 Common Variants:
Long Short-Term Memory (LSTM): Addresses vanishing gradient problems with gates to manage information flow.
Gated Recurrent Unit (GRU): Similar to LSTMs but with a simpler architecture.

🚀 Applications:
Language Modeling: Predicting the next word in a sentence.
Sentiment Analysis: Understanding sentiments in text.
Time-Series Forecasting: Predicting future data points in a series.

🔗 Resources:
Dive deeper with tutorials on platforms like Coursera, edX, or YouTube.
Explore open-source libraries like TensorFlow or PyTorch for implementation.
Let's harness the power of RNNs to innovate and solve complex problems! 💡

#RNN #RecurrentNeuralNetworks #DeepLearning #NLP #LSTM #GRU #TimeSeriesForecasting #MachineLearning #NeuralNetworks #AIApplications #SequenceModeling #MLCheatSheet #PyTorch #TensorFlow #DataScience

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤11👍3

6.38K views06:23

Python | Machine Learning | Coding | R

Forwarded from Python Data Science Jobs & Interviews

❗️ WITH JAY MO YOU WILL START EARNING MONEY

Jay will leave a link with free entry to a channel that draws money every day. Each subscriber gets between $100 and $5,000.

👉🏻CLICK HERE TO JOIN THE CHANNEL 👈🏻
👉🏻CLICK HERE TO JOIN THE CHANNEL!👈🏻
👉🏻CLICK HERE TO JOIN THE CHANNEL 👈🏻

🚨FREE FOR THE FIRST 500 SUBSCRIBERS ONLY!

❤3

3.97K views14:37

Python | Machine Learning | Coding | R

5:45

Media is too big

VIEW IN TELEGRAM

AI vs ML vs Deep Learning vs Generative AI

#ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #AIVsML #AITechnology #LearnAI #AIExplained

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤7👍3👨‍💻2

6.03K viewsedited 05:36

Python | Machine Learning | Coding | R

Intent | AI-Enhanced Telegram
🌐 Supports real-time translation in 86 languages
💬 Simply swipe up during chat to let AI automatically generate contextual replies
🎙 Instant AI enhanced voice-to-text conversion
🧠 Built-in mainstream models including GPT-4o, Claude 3.7, Gemini 2, Deepseek, etc., activated with one click
🎁 Currently offering generous free AI credits
📱 Supports Android & iOS systems
🔎 Website | 📬 Download

intentchat.app

IntentChat - AI-Enhanced Telegram Client

Make your Telegram messaging smarter with AI-powered context awareness and personalized communication.

❤5

4.82K views11:41

Python | Machine Learning | Coding | R

🚀 FREE IT Study Kits for 2025 — Grab Yours Now!

Just found these zero-cost resources from SPOTO👇
Perfect if you're prepping for #Cisco, #AWS, #PMP, #AI, #Python, #Excel, or #Cybersecurity!
✅ 100% Free
✅ No signup traps
✅ Instantly downloadable

📘 IT Certs E-book: https://bit.ly/4fJSoLP
☁️ Cloud & AI Kits: https://bit.ly/3F3lc5B
📊 Cybersecurity, Python & Excel: https://bit.ly/4mFrA4g
🧠 Skill Test (Free!): https://bit.ly/3PoKH39
Tag a friend & level up together 💪

🌐 Join the IT Study Group: https://chat.whatsapp.com/E3Vkxa19HPO9ZVkWslBO8s
📲 1-on-1 Exam Help: https://wa.link/k0vy3x
👑Last 24 HOURS to grab Mid-Year Mega Sale prices！Don’t miss Lucky Draw👇
https://bit.ly/43VgcbT

❤4🔥1

19.4K views08:58

Python | Machine Learning | Coding | R

ds full archive.pdf.pdf

55.2 MB

Best Data Science Archive Notes

✉️ Our Telegram channels: https://www.tgoop.com/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Please open Telegram to view this post

VIEW IN TELEGRAM

❤8👍2

11.3K viewsedited 13:38

2025/07/08 23:30:56
Back to Top

HTML Embed Code:

<iframe width="100%" src="https://www.tgoop.com/buyppe/web?embed=1" title="Telegram Web" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>