Top 10 Data Science Projects with Python

✔️ 10 Datasets
✔️ 10 Projects with solution

👇🧵

1️⃣ Project: Detecting Spam

✔️ Big email dataset
✔️ 35.000+ spam and ham messages
✔️ Learn how to filter

https://t.co/wvNSeFSbmr

Solution 👇🧵
1️⃣ Solution: Detecting Spam

✔️ How to build a spam filter
✔️ Using Scikit-learn
✔️ Naive-Bayes and SVM

👇🧵

https://t.co/sHI1PAG6Do
2️⃣ Project: Music Recommendation

✔️ Million Song Dataset
✔️ Metadata for a million songs

https://t.co/QgdSdIYnVV

Solution 👇🧵
2️⃣ Solution: Music Recommendation

✔️ Using Tableau
✔️ Collaborative-filtering engine
✔️ Similar to YouTube music

https://t.co/UEKWHSdfc0
3️⃣ Project: House Price Prediction

✔️ California Housing Data
✔️ Great beginner Data Science project

https://t.co/73GBMD1hRc

Solution 👇🧵
3️⃣ Solution: House Price Prediction

✔️ Full 10-step workflow
✔️ Solution inspired by Handson-ML book
✔️ Great training tutorial

https://t.co/NKW8r5AQkp

👇🧵
4️⃣ Project: NBA Analytics

✔️ Is 2-for-1 play in basketball an advantage?
✔️ Data scraped from Basketball-Reference

https://t.co/haS5rpdUWl

Solution 👇🧵
4️⃣ Solution: NBA Analytics

✔️ Use Seaborn for heatmap
✔️ Use SciPy for stats
✔️ Includes a scraper

👇🧵

https://t.co/Cj5FdUDGRT
5️⃣ Project: Movie Review Sentiment

✔️ IMDB movie review dataset
✔️ 50,000+ reviews

https://t.co/O4nzHayMU1

Solution 👇🧵
5️⃣ Solution: Movie Review Sentiment

✔️ Predict positive and negative reviews
✔️ Sentiment classification model
✔️ Use NLTK

https://t.co/mbuJMPz922

👇🧵
6️⃣ Project: Face Swapping

✔️ Swap one face to another
✔️ Great for learning OpenCV

Solution 👇🧵
6️⃣ Solution: Face Swapping

✔️ Use OpenCV
✔️ 8 step tutorial
✔️ Landmark points on images

👇🧵

https://t.co/PGhKTGdHfb
7️⃣ Project: Fake News Detection

✔️ Scrape News
✔️ Learn how to detect Fake News

Solution 👇🧵

https://t.co/cqoZiSFuPG
7️⃣ Solution: Fake News Detection

✔️ Use Natural Language Processing
✔️ Includes dataset
✔️ Learn to clean data

👇🧵

https://t.co/bj9gbaUTOV
8️⃣ Project: Chatbot from Scratch

✔️ Make your own Chatbot
✔️ Use NLTK and Keras
✔️ Solution in project

👇🧵

https://t.co/62d69VB0p4
9️⃣ Project: Forest Fire Damage

✔️ Forest Fire Dataset
✔️ Predict the burned areas of forest fires
✔️ Use meteorological data

Solution 👇🧵

https://t.co/TrcBUOxj7u
9️⃣ Solution: Forest Fire Damage

✔️ Use Seaborn for visualization
✔️ Learn statistical approach
✔️ Feature Selection techniques

👇🧵

https://t.co/0t8IdpyzRf
🔟 Project: Cheap Housing on Craiglist

✔️ Scrape your own data
✔️ Use Scrapy
✔️ Solution in project

👇🧵

https://t.co/IDvZVLcqjl
Thank you for reading.

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Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.

https://t.co/FBfXhUrH5d


Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.


...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.


Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.