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.
If you like the post
✔️ Like
✔️ Follow
✔️ Retweet