Uploaded May 2021 | Updated September 2026, 2 hours ago

---

🐼 All you need to know about Pandas in one place! Download my Pandas Cheat Sheet (free) - misraturp.gumroad.com/l/pandascs

Data exploration video: youtu.be/OY4eQrekQvs

If you’d like to follow along, find the data here: data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh

00:00 Welcome and some words on data cleaning
01:21 Cleaning irrelevant columns
01:43 Cleaning categorical column values
02:27 Cleaning missing values
13:08 Dealing with outliers
17:17 Data has a surprise for us
17:57 Dealing with unexpected data issues
21:10 Going forward

👋 Keep in touch?
==========================
🐥 Twitter - twitter.com/misraturp
🔗 LinkedIn - linkedin.com/in/misraturp
📹 YouTube - youtube.com/@misraturp
🌎 Website - misraturp.com

Courses & resources
============================

📙 Fundamentals of Deep Learning in 25 pages
misraturp.gumroad.com/l/fdl

🤖 Deep Learning 101 with Python and Keras (FREE)
youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF

🏃‍♀️ Data Science Kick-starter mini-course (FREE)
misraturp.gumroad.com/l/kick-starter

🐼 Pandas cheat sheet (FREE)
misraturp.gumroad.com/l/pandascs

📝 NNs hyperparameters cheat sheet (FREE)
misraturp.gumroad.com/l/hcs