401.6K
CHThe best projects serve a real use case
Comment “data” for all the links and project descriptions
#tech #data #datascience #ml #explore
@chrisoh.zip
#Data Science Projects
世界中の人々によるData Science Projectsに関する31K件のリール動画を視聴。
ログインせずに匿名で視聴。
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159.2K
DA60 Unique Data Science Project Ideas Also see 👇
Top Places to Grab Public Datasets
Kaggle Datasets
Google Dataset Search
Hugging Face Datasets Hub
UCI Machine-Learning Repository
AWS Open Data Registry
Microsoft Research Open Data
BigQuery Public Datasets (Google Cloud)
Data.gov (USA)
data.gov.in (India)
World Bank Open Data
IMF Data Portal
Eurostat Open Data
FiveThirtyEight GitHub
Awesome-Public-Datasets (GitHub)
OpenML
Zenodo
Figshare
PapersWithCode → Datasets
Quandl
Registry of Open Data on Azure
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⭐️ All this for just Rs.45/month!
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#datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp #dataengineer
@datasciencebrain
121.5K
MAComment 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
@maggieindata
115.0K
VEIf you want to crack Data Science jobs in the next 30 days, here’s the three step process which you will follow which literally no one talks about.
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#datascience #data #interview
@vee_daily19
78.8K
KU5 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
@kushal_vijay_
334.6K
SUComment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻💻
♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v
what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻💻
#datascientist #datascience #python #machinelearning #sql #ai
@sundaskhalidd
53.5K
EM3 data science projects you can do in a weekend.
If you’re learning data science, one of the best ways to improve is by working through real examples.
Here are three Kaggle notebooks you can explore:
• Loan Prediction – predicting whether a loan gets approved based on applicant data.
• Bank Churn – analyzing which customers are likely to leave a bank.
• House Price Prediction – estimating house prices from property features.
You can study the notebooks and also try solving the same problems yourself using the same datasets.
It’s a great way to practice and see different ways people approach the same problem.
Comment “DATA” and I’ll send you the notebooks.
#coding #datascience #university
@emrcodes
2.5M
PR1. Netflix Show Clustering
Group similar shows using K-Means based on genre, rating, and duration.
Tech Stack: Python, Pandas, Scikit-learn, Seaborn
2. Spotify Audio Feature Analyzer
Analyze songs by tempo, energy and danceability using Spotify API.
Tech Stack: Python, Spotipy, Matplotlib, Plotly
3. YouTube Trending Video Analyzer
Discover what makes a video go viral.
Tech Stack: Python, Pandas, BeautifulSoup, Seaborn
4. Resume Scanner using NLP
Parse and rank resumes based on job description matching.
Tech Stack: Python, SpaCy, NLTK, Streamlit
5. Crypto Price Predictor
Predict BTC/ETH prices using historical data.
Tech Stack: Python, LSTM (Keras), Pandas, Matplotlib
6. Instagram Hashtag Recommender
Suggest hashtags based on image captions or niche.
Tech Stack: Python, NLP, TF-IDF, Cosine Similarity
7. Reddit Sentiment Tracker
Analyze community sentiment on hot topics using Reddit API.
Tech Stack: Python, PRAW, VADER, Plotly
8. AI Job Postings Dashboard
Scrape and visualize job trends by tech stack and location.
Tech Stack: Python, Selenium/BeautifulSoup, Streamlit
9. Airbnb Price Estimator
Predict listing prices based on location and amenities.
Tech Stack: Python, Scikit-learn, Pandas, XGBoost
10. Food Calorie Image Classifier
Estimate calories from food images using CNNs.
Tech Stack: Python, TensorFlow/Keras, OpenCV
Each project can be completed in 1-2 weekends.
#datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #projects
@priyal.py
157.6K
JEComment “project” for my full video that breaks each of these projects down in detail with examples from my own work.
If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT!
Save this video for later + send to a data friend!
#data #dataanalytics #project
🏷️ data analytics, data analytics project, data project, dataset
@jessramosdata
183.7K
PE9 data projects ideas instead of doomscrolling:
(And there is a repo with the data :) )
🤖 Machine Learning Projects
* Diabetes Classification
Build and compare classification models to show how data preprocessing, feature scaling, and hyperparameter tuning directly improve predictive performance.
* Heart Attack Prediction
Implement an end-to-end classification pipeline—from raw data to model evaluation—to demonstrate a realistic machine learning workflow.
* Medical Cost Prediction
Train a regression model to predict healthcare costs, emphasizing feature importance analysis and model optimization to explain what drives predictions.
🛠️ Data Engineering Projects
* NBA Player Statistics ETL Pipeline
Design an ETL pipeline that extracts player statistics, cleans and transforms the data, and stores it in a relational database for reliable downstream analysis.
* Real-Time & Batch Data Pipelines with Kafka
Build a scalable pipeline that processes streaming and batch data using Kafka, PostgreSQL, and Docker to demonstrate modern data flow architecture.
* Glassdoor Job Data Pipeline
Scrape job postings, clean and structure the raw data, and prepare it for analysis and visualization to showcase real-world data ingestion challenges.
📊 Data Analytics Projects
* Pokémon Dataset Analysis
Perform exploratory data analysis and feature engineering to uncover patterns in Pokémon characteristics such as types, stats, and legendary status.
* Automated EDA Tool Comparison
Benchmark AutoViz, SweetViz, and Pandas Profiling across multiple datasets to evaluate performance, resource usage, and practical trade-offs.
* Exploratory Job Market Analysis
Analyze cleaned job posting data to extract trends, key skills, and role distributions using visualizations and summary statistics.
👉🏻 Comment « data » to get the link to the repo and portfolio strategies!
#data #students #job
@penelope_data
814.9K
CITop 10 Data Science Projects to strengthen your Resume✅
✅ Comment "DS" For Project links ✅
📌 Sentiment Analysis 😃🙁: Analyze text to determine positive or negative sentiments.
📌 Fake News Detection 📰🚫: Build a model to identify real or fake news articles.
📌 Parkinson's Disease Detection 🧠🎯: Develop a system to detect Parkinson's disease based on movement patterns.
📌 Speech Emotion Recognition 🗣️😄😢: Recognize emotions from speech using audio analysis techniques.
📌 Gender and Age Detection 👩👨🔢: Predict the gender and age range of individuals using image analysis.
📌 Driver Drowsiness Detection 🚗💤: Create a system that detects drowsy drivers and alerts them with an alarm.
📌 Credit Card Fraud Detection 💳🚫: Build a model to identify fraudulent credit card transactions.
📌 Stock Price Prediction 📈📉: Use historical stock data to predict future price movements.
📌 Customer Churn Prediction 📊🔃: Develop a model to predict customer churn for businesses.
📌 Spam Email Classification 📧📥🚫: Classify emails as spam or non-spam using machine learning algorithms.
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Follow @citizendatascientist and @bossymiss
✨ Stay tuned for more updates!✨
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Our goal is to educate and provide more & more resources and make you laugh at a time. 💻
Happy studying! 🎓💻
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Ds / ML Projects with Source Code👇
https://www.alphaa.ai/cds-resources/machine-learning-project-ideas-for-resume
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#data #datascience #dataanalytics #dataanalysis #datascienceprojects #project #ml #machinelearning #datascientist #resume #resumetips
@citizendatascientist
184.2K
DA5 Data Analyst Projects That Can Get You Hired (With Tutorials)
Most portfolios are filled with the same boring projects everyone else does. These five stand out because they solve real business problems and show recruiters you can think, not just code.
Here are the 5 projects:
1. Sales Data Dashboard
Build an interactive dashboard analyzing sales trends, revenue by region, and product performance using Excel, Power BI, or Tableau
📎 Tutorial: https://www.youtube.com/watch?v=fZn83JRt4Nk
2. Customer Segmentation Analysis
Use Python and K-means clustering to segment customers based on behavior and create targeted marketing strategies
📎 Tutorial: https://365datascience.com/tutorials/python-tutorials/build-customer-segmentation-models/
3. SQL Database Analysis
Query and analyze customer purchase patterns, retention rates, and lifetime value using SQL
📎 Tutorial: https://www.geeksforgeeks.org/sql/customer-behavior-analysis-in-sql/
4. Time Series Forecasting
Predict future sales or trends using Python with ARIMA or Prophet models to demonstrate forecasting skills
📎 Tutorial: https://www.digitalocean.com/community/tutorials/a-guide-to-time-series-forecasting-with-prophet-in-python-3
5. A/B Testing Framework
Design and analyze an A/B test to optimize website conversions or marketing campaigns using statistical testing
📎 Tutorial: https://www.kdnuggets.com/a-complete-guide-to-a-b-testing-in-python
These aren't just tutorials you follow. They're projects that demonstrate real business impact, clean code, and the ability to communicate insights.
Recruiters check GitHub. Make sure yours has well-documented projects that show practical impact, not just technical skills.
Save this and start building.
[dataanalyst, data, analyst, analytics, portfolio, projects, SQL, python, powerbi, tableau, excel, dashboard, visualization, forecasting, machinelearning, career, job, hired, beginner, tutorial, github, skills, business, insights, statistics, segmentation, testing, resume]
#dataanalyst #dataanalysis #portfolio #projects
@datawithsai
✨ #Data Science Projects発見ガイド
Instagramには#Data Science Projectsの下に31K件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
#Data Science Projectsは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーには31K以上の投稿があり、@priyal.py, @citizendatascientist and @chrisoh.zipのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#Data Science Projectsで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @priyal.py, @citizendatascientist, @chrisoh.zipなどがコミュニティをリード
#Data Science Projectsについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Data Science Projectsのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均1.0M回の再生（平均の2.4倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #Data Science Projectsは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✨ 多くの認証済みクリエイターが活動中（67%） - コンテンツスタイルを研究
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長981文字
📹 #Data Science Projectsには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
#Data Science Projects に関連する人気検索
🎬動画愛好家向け
Data Science Projects ReelsData Science Projects動画を見る
📈戦略探求者向け
Data Science Projectsトレンドハッシュタグ最高のData Science Projectsハッシュタグ
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Data Science Projectsを探索#project#data project#science#science project#data#science projects#projecter#data science