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Comment "Projects" & I will DM You all the projects! Here are 5 Python projects that can actually help you get hired: 1️⃣ Medical Data Extraction 2️⃣ Sports Celebrity Image Classification 3️⃣ T20 World Cup Cricket Analytics 4️⃣ Grocery Store Management System 5️⃣ Sales Insights for a Consumer Goods Brand Like this reel, comment “Projects”, and share it with your friends! Must follow to receive the source code in your DMs 👇🔥 #pythonprojects #datascienceprojects #pythonforbeginners #jobready #techreels #pycodehubb

If I was a beginner learning to code, I would use this Python roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #codingtips #cs #python #computerscience #usemassive

Comment "List" and I’ll share my source codes :) . . . . . Follow @tuba.captures for more . . . . . . #python #opencv #machinelearning #computervision #aiprojects #deeplearning #datascience #pythonprojects #mlprojects #pythondeveloper

Don't miss these👇🏻👇🏻 150+ Data Science projects you can try with Python 🖇️ Link👇🏻👇🏻 https://python.plainenglish.io/85-data-science-projects-c03c8750599e Comment “Projects” for the link and send the reel in my dm to get early access Don't forget to share the reel with your fellow friends 😉 Project research credit goes to @amankharwal.official i have just found these projects on internet 😀 Hashtags 🔎 #DataScienceCommunity #DataScience #DataScienceProjects #DataScienceEducation #datasciences #Python #PythonProjects #PythonProjects

comment ‘AI’ and I’ll send you the link in your DMs this is such a great resource to guide you on your AI/ML journey! #techcareer #ai #machinelearning #careergrowthtips #datascience #coding

5 Data Science Projects That will actually get you Hired, With Tutorials Building a Three-Model, Real-Time Fraud Detection System with FastAPI Predictive Maintenance using Machine Learning Customer Segmentation Using Machine Learning (K-Means Clustering) – Full Python Data Science Project Fraud Detection Using Machine Learning – Full Python Data Science Project (94% Accuracy) Data Science & Machine Learning Projects by CodeBasics Channel More details in bio {kushal vijay, careerguidance, data science projects, viral, trending, project ideas, templates, microsoft, coding projects, data science jobs, ml projects} #codingprojects #careerguidance #viral #trending #kushalvijay #career

Comment “Python” & I will DM You all the projects! 📩 🚀 10 Python Projects You Must Build to Get Hired! If you’re serious about landing a job in tech, these are the projects you need in your portfolio 💻✨ 1️⃣ ATS Resume Tracker 2️⃣ Medical Data Extractor 3️⃣ Cricket Data Analytics 4️⃣ PDF Chatbot (RAG) 5️⃣ Celebrity Image Classifier 6️⃣ Book Recommender (LLM) 7️⃣ Grocery Store App 8️⃣ Data Analytics Portfolio 9️⃣ Capstone Project (BI + SQL + Python) 🔟 Gen AI Project 🔥 Drop a “Python” in the comments and I’ll DM you the links right away 📥 #PythonProjects #TechCareers #AIProjects #PythonForJobs #hiring #jobs #techjobs #pythonprojects #techprojects #LearnPython #PortfolioProjects #aasifcodes

🐍 Top 15 Python Libraries Every Data Analyst Must Know 📊 If you are starting your Data Analytics journey, the right Python libraries can save you hours of effort and make your projects 10x more powerful. 🚀 Here’s a quick breakdown of the must-know libraries: ✅ Pandas → Data cleaning & manipulation ✅ NumPy → Fast numerical computing ✅ Matplotlib & Seaborn → Stunning visualizations ✅ Plotly → Interactive dashboards ✅ Scikit-learn → Easy machine learning ✅ Statsmodels & SciPy → Statistical analysis ✅ TensorFlow / PyTorch → Advanced AI & analytics ✅ OpenPyXL, Dask, BeautifulSoup, NLTK, SQLAlchemy → Excel automation, big data, web scraping, text analytics, and databases! 💡 Whether you’re preparing for a job, building projects, or just learning, these libraries are the backbone of Data Analytics. 👉 Save this reel for quick reference 🔖 👉 Share it with your data friends 🔄 👉 Follow @codeandcrush for more daily Data Analytics tips, tricks & career hacks 🚀 #python #dataanalytics #pythonlibraries #datascience #machinelearning #sql #powerbi #dataanalyst #learnpython #learnandgrow #careergoals #instagram #pythonprogramming #reelsi̇nstagram #trendings

Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊 A good number of portfolio projects is 3–5, and the types of projects you choose should reflect the kind of data role you’re going after. A data analyst portfolio should look very different from a machine learning engineer one. Even within data science, a product/decision data scientist portfolio should focus on A/B testing and metrics storytelling—while an algorithm data scientist portfolio might highlight modeling and experimentation. ✨ Especially if you’re building your very first project, prioritize: 🌱 Real-world messiness (not polished Kaggle sets) 🌱 Business context and decision-making 🌱 Clear documentation (what you did and why) 🌱Visuals to help your work stand out No one’s asking for perfection—they want to see how you think. #datascienceportfolio #dataanalyst #learnpython #codingjourney #techcareers

🚀 Master Data Structures & Algorithms in Python: Your Detailed Roadmap! And Projects ✅Save for later💎 Follow this step-by-step guide to become a DSA pro in Python: Week 1: Arrays & Strings Learn the basics of arrays, strings, and their operations. Practice problems: Reverse a string, find the maximum subarray sum. Week 2: Linked Lists & Recursion Understand linked lists and the power of recursion. Practice problems: Reverse a linked list, detect cycles in a linked list. Week 3: Stacks & Queues Master the implementation and applications of stacks and queues. Practice problems: Implement a stack using queues, evaluate postfix expressions. Week 4: Trees & Binary Search Trees Explore tree traversal methods and BST properties. Practice problems: Inorder traversal, check if a tree is balanced. Week 5: Graphs & Graph Algorithms Dive into graphs, BFS, DFS, and shortest path algorithms. Practice problems: Implement BFS and DFS, find the shortest path in a graph. Week 6: Sorting & Searching Algorithms Learn and implement key sorting algorithms and binary search. Practice problems: Merge sort, quick sort, binary search in a rotated array. Week 7: Dynamic Programming Understand the principles of dynamic programming and common patterns. Practice problems: Fibonacci sequence, longest common subsequence. Week 8: Advanced Topics & Problem-Solving Tackle advanced DSA topics like segment trees and trie data structures. Practice problems: Implement a trie, solve range queries with segment trees. You can get the projects: 1. Follow @code_matrix7 2. Comment "Project" 3. DM me this reel I will share the projects in your DM✅ #python #pythonprojects #learnpython #computerscience #projects #ai #freeprojects #softwaredeveloper #fullstackdeveloper #html #css #htmlcss

DATA SCIENCE ROADMAP FROM GOOGLE DATA SCIENTISTS . . . #datascience #google #nodaysoff #AI #sql #python #roadmap #cheatsheet

🚀Top 35 Data Science Projects with Source Code 1. Detecting Fake News with NLP 2. Color Detection Beginner Computer Vision Project 3. Build a Simple Movie Recommendation System 4. Predict Income with Census Data 5. Cassava Leaf Disease Classification 6. Getting Started with Text Mining 7. Titanic Dataset for Prediction Modeling 8. Beginner Exploratory Data Analysis Project on Life Expectancy 9. DoorDash Take-Home Analytics Project 10. Build a QR Code / Barcode Scanner App in Python ... and many more 🔗Link: https://www.interviewquery.com/p/data-science-projects-with-source-code Follow @thefactsdetective for amazing Daily Facts ⭐ Visit the below link to read the full article on Ultimate Data Science Roadmap - deepakjosecodes.com/blog ✅Join our Telegram channel for more resources (t.me/datasciencebrain) Use the link or check our bio. 🏆 Follow @datasciencebrain for more amazing Data Science resources and News📌Tag your friends who would like to know about this Data Science Brain™ is an initiative to provide free knowledge to everyone about the latest trending topics in Data Science, Machine Learning, and Artificial Intelligence. #dsbrain We will be posting about these topics 📊 Data Science 🧠 Machine Learning 🧠🔥 Deep Learning 🤖 Artificial Intelligence 💻 Programming -> @ad.codingschool • • • • • #datascience #machinelearning #python #artificialintelligence #programming #chatgpt #learnmachinelearning #coding #deeplearning #datascientist #programmer #dataanalytics #datavisualization #dataanalyst #analytics #datasciencejobs #datascienceinternship #datascienceroadmap #learndatascience #learndataanalytics #datascienceinterview
Top Creators
Most active in #data-science-projects-with-python
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #data-science-projects-with-python ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #data-science-projects-with-python. Integrated usage of #data-science-projects-with-python with strategic Reels tags like #data science and #science project is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #data-science-projects-with-python
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#data-science-projects-with-python is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 8,663,861 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @itsallykrinsky with 3,007,787 total views. The hashtag's semantic network includes 19 related keywords such as #data science, #science project, #pythons, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 8,663,861 views, translating to an average of 721,988 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 3,007,787 views. This viral outlier performance is 417% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #data-science-projects-with-python ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @itsallykrinsky, has contributed 1 reel with a total viewership of 3,007,787. The top three creators — @itsallykrinsky, @code_matrix7, and @swerikcodes — together account for 65.1% of the total views in this dataset. The semantic network of #data-science-projects-with-python extends across 19 related hashtags, including #data science, #science project, #pythons, #science projects. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #data-science-projects-with-python indicate an active content ecosystem. The average of 721,988 views per reel demonstrates consistent audience reach. For creators using #data-science-projects-with-python, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#data-science-projects-with-python demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 721,988 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @itsallykrinsky and @code_matrix7 are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #data-science-projects-with-python on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.











