Pandas Crash Course in 1 Hour | Pandas Python Tutorial | Pandas Tutorial - Full Course| KGP Talkie

🔊 Watch till last for a detailed description

👇👇👇👇👇👇👇👇👇👇👇👇👇👇
✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.

---------------------------------------------------------------

💯 Read Full Blog with Code

💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
👉🏻 Machine Learning for Beginners
👉🏻 Feature Selection in Machine Learning
👉🏻 Text Preprocessing and Mining for NLP
👉🏻 Natural Language Processing (NLP)
👉🏻 Deep Learning with TensorFlow 2.0
👉🏻 COVID 19 Data Analysis and Visualization
👉🏻 Machine Learning Model Deployment Using
👉🏻 Make Your Own Automated Email Marketing

***********
🤝 BE MY FRIEND

[sidindian]

58:17 , .. My First Data Visualization output using Seaborn (sns-headmap()).. Thank You Sir .. Its Looks more beautiful .... very Colourful too 🙂

[yuganshdwivedi]

This is one of the best tutorials for beginners to learn data cleaning and preparing a meaningful data for analysis.

[sudippandit]

You are outstanding man!! I am waiting your Deep Learning course.
Thank you for your videos

[babyyoda]

You've done a fantastic job. Regards from Spain!

[lade_edal]

You are an amazing instructor. I love your work. Thank your for your service sir.

[GargiGhosh]

Thank you for the video, very helpful! Does corrmat try to do a linear fitting for the different columns? DO the numbers indicate R2 of the straight-line equation. Also, Is there a way to use corrmat function to perform other forms of fitting like a log, exp, or polynomial ?

[nabiltech]

Hello bro, i dont see anything in ur github link😰

[shelbypatzer]

Thank you so much for making this! Great tutorial!

[sweetytripathi]

What is the purpose of corr function? Why are we using this and what are the scope of this where we can use this ?In what cases these are beneficial to find correlation factor between columns?

[JainmiahSk]

I couldn't find Python Crash Course in the channel please share the link as early as possible. Thank You.

[MohammadMahadiHassain]

Very good explanation, really helpful and easy to follow

[teetanrobotics]

please make videos for Scikit-Learn, keras, pytorch and openAI gym

[KKKK-jrnm]

Hi, can please you upload the Python Crash course tutorial ? I'm unable to find it on your youtube channel.
Thanks!

[shreesjourney]

Thank you for such nice useful tutorial.

[sodiqrafiu]

Hello KGP Talkie, your github address can not be found. Please, do something.

[sheikhmuhammedshoaib]

Sir please make video on matplotlib and tensorflow
For this video

[YashMarathe]

When are you going to make a tutorial on Tensorflow or pytorch?

[jitendratiwari]

Please reply me if any one know the solution of this problem.

I have a question while i was renaming the column, when I
gave this command,
df.columns = col
df.head()


I got all the column names with their original column names but when i gave this command to change the column name it gave me value error
col1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k']
df.columns = col1
df.head()

this was the error, how can i overcome from this error


ValueError Traceback (most recent call last)
in <module>
----> 1 df.columns = col1
2 df.head()

in __setattr__(self, name, value)
5285 try:
5286 object.__getattribute__(self, name)
-> 5287 return object.__setattr__(self, name, value)
5288 except AttributeError:
5289 pass

pandas\_libs\properties.pyx in

in _set_axis(self, axis, labels)
659
660 def _set_axis(self, axis, labels) -> None:
--> 661 self._data.set_axis(axis, labels)
662 self._clear_item_cache()
663

in set_axis(self, axis, new_labels)
176 if new_len != old_len:
177 raise ValueError(
--> 178 f"Length mismatch: Expected axis has {old_len} elements, new "
179 f"values have {new_len} elements"
180 )

ValueError: Length mismatch: Expected axis has 12 elements, new values have 11 elements

[RamuRamu-nypf]

Hi sir 👋 now cleaning the data is good and also how to predict the future and label put in sir

[balvindersingh]

you must take care your English and lips voice when you start emitting words. it is better use Hindi language. there are many videos for same in Hindi language.