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Advertising on the Telegram channel «Data science and Machine Learning»
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Recent Channel Posts
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Machine Learning Project Ideas 👆
446
08:42
29.03.2025
Accenture Data Scientist Interview Questions!
1st round-
Technical Round
- 2 SQl questions based on playing around views and table, which could be solved by both subqueries and window functions.
- 2 Pandas questions , testing your knowledge on filtering , concatenation , joins and merge.
- 3-4 Machine Learning questions completely based on my Projects, starting from
Explaining the problem statements and then discussing the roadblocks of those projects and some cross questions.
2nd round-
- Couple of python questions agains on pandas and numpy and some hypothetical data.
- Machine Learning projects explanations and cross questions.
- Case Study and a quiz question.
3rd and Final round.
HR interview
Simple Scenerio Based Questions.
Like if you need similar content 😄👍
635
06:59
29.03.2025
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𝗧𝗼𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍
Want to work on real industry tasks, develop in-demand skills, and boost your resume—all for FREE?
Your dream career starts with real experience—grab this opportunity today!
𝐋𝐢𝐧𝐤👇:-
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💡 No experience required—just learn, upskill & build your portfolio! 🚀
659
04:51
29.03.2025
Step-by-Step Approach to Learn Data Science
➊ Learn a Programming Language → Python or R
↓
➋ Fundamentals → Statistics, Probability, Linear Algebra
↓
➌ Data Handling & Processing → Pandas, NumPy
↓
➍ Data Visualization → Matplotlib, Seaborn, Plotly
↓
➎ Exploratory Data Analysis (EDA) → Missing Values, Outliers, Feature Engineering
↓
➏ Machine Learning Basics → Supervised vs Unsupervised Learning
↓
➐ Model Building & Evaluation → Scikit-Learn, Cross-Validation, Metrics
↓
➑ Advanced Topics → Deep Learning, NLP, Time Series Analysis
Free Data Science Resources: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
1061
13:45
28.03.2025
If you're a data science beginner, Python is the best programming language to get started.
Here are 7 Python libraries for data science you need to know if you want to learn:
- Data analysis
- Data visualization
- Machine learning
- Deep learning
NumPy
NumPy is a library for numerical computing in Python, providing support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.
Pandas
Widely used library for data manipulation and analysis, offering data structures like DataFrame and Series that simplify handling of structured data and performing tasks such as filtering, grouping, and merging.
Matplotlib
Powerful plotting library for creating static, interactive, and animated visualizations in Python, enabling data scientists to generate a wide variety of plots, charts, and graphs to explore and communicate data effectively.
Scikit-learn
Comprehensive machine learning library that includes a wide range of algorithms for classification, regression, clustering, dimensionality reduction, and model selection, as well as utilities for data preprocessing and evaluation.
Seaborn
Built on top of Matplotlib, Seaborn provides a high-level interface for creating attractive and informative statistical graphics, making it easier to generate complex visualizations with minimal code.
TensorFlow or PyTorch
TensorFlow, Keras, or PyTorch are three prominent deep learning frameworks utilized by data scientists to construct, train, and deploy neural networks for various applications, each offering distinct advantages and capabilities tailored to different preferences and requirements.
SciPy
Collection of mathematical algorithms and functions built on top of NumPy, providing additional capabilities for optimization, integration, interpolation, signal processing, linear algebra, and more, which are commonly used in scientific computing and data analysis workflows.
Enjoy 😄👍
1294
10:12
28.03.2025
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𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 𝗢𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 😍
Data Science is reshaping industries, and having the right tools and skills can set you apart in this exciting field
Know The Roadmap To Become a Successful Data Scientist In 2025
Eligibility :- Students, Graduates & Woking Professionals
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-
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(Limited Slots ..HurryUp🏃♂️ )
𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- 29th March, 2025, at 7 PM
916
08:52
28.03.2025
Data Science – Essential Topics 🚀
1️⃣ Data Collection & Processing
Web scraping, APIs, and databases
Handling missing data, duplicates, and outliers
Data transformation and normalization
2️⃣ Exploratory Data Analysis (EDA)
Descriptive statistics (mean, median, variance, correlation)
Data visualization (bar charts, scatter plots, heatmaps)
Identifying patterns and trends
3️⃣ Feature Engineering & Selection
Encoding categorical variables
Scaling and normalization techniques
Handling multicollinearity and dimensionality reduction
4️⃣ Machine Learning Model Building
Supervised learning (classification, regression)
Unsupervised learning (clustering, anomaly detection)
Model selection and hyperparameter tuning
5️⃣ Model Evaluation & Performance Metrics
Accuracy, precision, recall, F1-score, ROC-AUC
Cross-validation and bias-variance tradeoff
Confusion matrix and error analysis
6️⃣ Deep Learning & Neural Networks
Basics of artificial neural networks (ANNs)
Convolutional neural networks (CNNs) for image processing
Recurrent neural networks (RNNs) for sequential data
7️⃣ Big Data & Cloud Computing
Working with large datasets (Hadoop, Spark)
Cloud platforms (AWS, Google Cloud, Azure)
Scalable data pipelines and automation
8️⃣ Model Deployment & Automation
Model deployment with Flask, FastAPI, or Streamlit
Monitoring and maintaining machine learning models
Automating data workflows with Airflow
Join our WhatsApp channel for more resources: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
1283
05:46
28.03.2025
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𝟱 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Whether you’re a complete beginner or looking to level up, these courses cover Excel, Power BI, Data Science, and Real-World Analytics Projects to make you job-ready.
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3DPkrga
All The Best 🎊
1217
04:06
28.03.2025
7 Free Kaggle Micro-Courses for Data Science Beginners with Certification
Python
https://www.kaggle.com/learn/python
Pandas
https://www.kaggle.com/learn/pandas
Data visualization
https://www.kaggle.com/learn/data-visualization
Intro to sql
https://www.kaggle.com/learn/intro-to-sql
Advanced Sql
https://www.kaggle.com/learn/advanced-sql
Intro to ML
https://www.kaggle.com/learn/intro-to-machine-learning
Advanced ML
https://www.kaggle.com/learn/intermediate-machine-learning
#datascienceprojects #kaggle
1391
09:43
27.03.2025
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Data Science Projects based on domain 👆
1778
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On the service since June 2022
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