![Parampreet Singh](/img/default-banner.jpg)
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- 30 506
Parampreet Singh
India
Приєднався 21 лют 2018
19 y/o • Self-taught Developer • IIT-Madras B.S'26 👨🎓 • Python 🐍 • ML Enthusiast 🤖
QUIZ 1 REVISION Session | Machine Learning Practices | Session - 10
QUIZ 1 REVISION Session | Machine Learning Practices | Session - 10
Please fill this feedback form to rate my sessions:
forms.gle/pMaacwzLzkt366dq8
In this session, we've covered:-
- Concepts from Week 1 to Week 4
- Week 1: Numpy, Pandas- Week 2: Model Pipeline- Week 3: Data Preprocessing- Imputing missing values- Encoders- Transformation- Scaling- Selection- Week 4: Linear Regression
Kaggle notebooks 🔼 (Make sure to upvote them):
www.kaggle.com/param302/
Want to attend my Live Sessions?
I usually take them twice a week - Wednesday & Sunday, at 6 pm.
You can join my session calendar for details and meet links:
calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google.com
Follow me on my social handles:
Bio link 🔗 param302.bio.link
Twitter 🔗 Param3021
LinkedIn 🔗 www.linkedin.com/in/param302/
Github 🔗 github.com/Param302
Kaggle 🔗 kaggle.com/param302
Please fill this feedback form to rate my sessions:
forms.gle/pMaacwzLzkt366dq8
In this session, we've covered:-
- Concepts from Week 1 to Week 4
- Week 1: Numpy, Pandas- Week 2: Model Pipeline- Week 3: Data Preprocessing- Imputing missing values- Encoders- Transformation- Scaling- Selection- Week 4: Linear Regression
Kaggle notebooks 🔼 (Make sure to upvote them):
www.kaggle.com/param302/
Want to attend my Live Sessions?
I usually take them twice a week - Wednesday & Sunday, at 6 pm.
You can join my session calendar for details and meet links:
calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google.com
Follow me on my social handles:
Bio link 🔗 param302.bio.link
Twitter 🔗 Param3021
LinkedIn 🔗 www.linkedin.com/in/param302/
Github 🔗 github.com/Param302
Kaggle 🔗 kaggle.com/param302
Переглядів: 545
Відео
PYTHON QUIZ 1 REVISION Session | Programming in Python
Переглядів 8629 годин тому
PYTHON QUIZ 1 REVISION Session | Programming in Python Access my Python Sessions covered all concepts from Week 1 to 12 here: ua-cam.com/play/PLClULgPbRPsD-t0AYG8hR5iLIt2ZaNTkv.html Please share your feedback about the session here: forms.gle/VuvkU7sCkpPME8BEA The error sheet is available in the Gform: forms.gle/VuvkU7sCkpPME8BEA Follow me on my social handles: Bio link 🔗 param302.bio.link Twit...
LINEAR REGRESSION & GRADIENT DESCENT | Machine Learning Practices | Session - 9
Переглядів 39712 годин тому
LINEAR REGRESSION & GRADIENT DESCENT | Machine Learning Practices | Session - 9 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Linear Regression (Explanation) - Linear Regression Implementation from Scratch - Cost Function - Mean Squared Error - Gradient Descent - Regularization: Ridge, Lasso Kaggle notebook 🔼 (Make sure to upv...
LINEAR REGRESSION & Model Pipeline | Machine Learning Practices | Session - 8
Переглядів 86921 годину тому
Linear Regression & Model Pipeline | Machine Learning Practices | Session - 8 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Linear Regression from Scratch - Preprocessing - ColumnTransformer - Feature Union - Model Pipeline - Linear Regression (Explanation) - Cost Function - Mean Squared Error - Gradient Descent - Linear Regre...
Feature SELECTION & SCALING | Machine Learning Practices | Session - 7
Переглядів 708День тому
Feature SELECTION & SCALING | Machine Learning Practices | Session - 7 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Feature Engineering - Creating New Features - Domain Knowledge - Feature Selection - Mutual Information - Chi Square method - Variance Threshold - Feature Scaling - Z-score Normalization (Standard Scaler) - Min ...
Feature Engineering | Machine Learning Practices | Session - 6
Переглядів 30214 днів тому
Feature Engineering | Machine Learning Practices | Session - 6 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Feature Engineering - Creating New Features - Domain Knowledge - Feature Selection - Checking Correlation of dataset Kaggle notebook 🔼 (Make sure to upvote it): www.kaggle.com/code/param302/mlp-session-6-by-parampreet-s...
PYTHON 1 LINERS - PyRustLin TALK By Parampreet Singh | @PyDelhiOrg x @RustDelhi x @linuxdelhi
Переглядів 1 тис.14 днів тому
PYTHON 1 LINERS - PyRustLin TALK By Parampreet Singh | @PyDelhiOrg x @RustDelhi x @linuxdelhi PyRustLin Meetup, happened on Saturday, 22nd June'24 at Coredge.io, Noida. In this talk, I have presented 1 Liners in Python. - Conditional Expressions (Ternary Operator) - List, Set, Dict, Generator Comprehensions - Lambda Functions Slides used in this talk: docs.google.com/presentation/d/1yTzN181mvd7...
DATA PREPROCESSING | Machine Learning Practices | Session - 5
Переглядів 1,1 тис.14 днів тому
DATA PREPROCESSING | Machine Learning Practices | Session - 5 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Data Preprocessing - Handling Missing Values - Mean, Median, Mode, Constant - Column Transformer - OrdinalEncoder - OneHotEncoder Kaggle notebook 🔼 (Make sure to upvote it): www.kaggle.com/param302/mlp-session-5-by-param...
ML Workflow & Taxi Trip Prediction | Machine Learning Practices | Session - 4
Переглядів 96921 день тому
ML Workflow & Taxi Trip Prediction | Machine Learning Practices | Session - 4 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- Complete ML Workflow - What are Features (X), Target Label (y) - Linear Regression - EDA - Feature Engineering - Ordinal Encoding- Predicting Taxi Trip duration Kaggle notebook 🔼 (Make sure to upvote it) ww...
PYTHON - EDA & Project Guide | Machine Learning Practices | Session - 3
Переглядів 99428 днів тому
PYTHON - EDA & Project Guide | Machine Learning Practices | Session - 3 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered: - Overview of Time Series Dataset - Resampling - Exploratory Data Analysis - MLP Project Guide Want to attend my Live Sessions? I usually take them twice a week - Wednesday & Sunday, at 6 pm. You can join my sessi...
PYTHON - PANDAS Library | Machine Learning Practices | Session - 2
Переглядів 891Місяць тому
PYTHON - PANDAS Library | Machine Learning Practices | Session - 2 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered: - Pandas Overview - Accessing data - Statistical analysis of data - Apply, map, replace - Removing Null Values - Changing index, columns - Grouping data (Groupby) - Correlation - Reading/Writing various Data formats No...
PYTHON, NUMPY Library | Machine Learning Practices | Session - 1
Переглядів 1,7 тис.Місяць тому
PYTHON, NUMPY Library | Machine Learning Practices | Session - 1 Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered: - Python Overview - Lambda Functions - Numpy Library Notebook & PDF can be accessed via below link: drive.google.com/drive/folders/1-tVzXoLIewE1DUcXZ8CIpOj_2oThro8H?usp=sharing Want to attend my Live Sessions? I usually ...
Discord Verification Bot | Project Demo | Parampreet Singh
Переглядів 1355 місяців тому
This is a demo video of Discord Verification bot. ➡️ A Discord verification bot made for Pichavaram House's Discord server. ➡️ It is use to verify the users who joins the Pichavaram Discord server, by verifying their student email id with the otp, and assign roles based on the email id. It also keep logs of the verification process. ➡️ Pichavaram House is one of the 12 Official Houses of IIT Ma...
Programming in Python I OPPE 2 | Revision Week 1 to Week 9 I Session - 1 | Hindi
Переглядів 2,4 тис.11 місяців тому
Programming in Python I OPPE 2 | Revision Week 1 to Week 9 I Session - 1 | Hindi In this session, we have revised all the concepts from Week 1 to Week 9: 💠 Revision from W1 to W9 🔹 Solve doubts 🔹 All mocks, PPAs & GrPAs till Week 9 Github 🔗 github.com/Param302 Twitter 🔗 Param3021
Programming in Python I OPPE 2 | Question Practice - PYQs, Recursion, FIle I/O I Session - 2 | Hindi
Переглядів 1,8 тис.Рік тому
Programming in Python I OPPE 2 | Question Practice - PYQs, Recursion, FIle I/O I Session - 2 | Hindi In this session, we have discussed: - PYQs - Recursion Questions (hard level) - Text file handling questions - CSV file handling questions Github 🔗 github.com/Param302 Twitter 🔗 Param3021
Programming in Python I OOP - Inheritance - Single, Multi-level & Multiple I Session - 18 | Hindi
Переглядів 277Рік тому
Programming in Python I OOP - Inheritance - Single, Multi-level & Multiple I Session - 18 | Hindi
Programming in Python I OOP, Classes, Objects, Attributes & Methods I Session - 17 | Hindi
Переглядів 275Рік тому
Programming in Python I OOP, Classes, Objects, Attributes & Methods I Session - 17 | Hindi
Programming in Python I File Handling - CSV files, CSV module & pandas module I Session - 16 | Hindi
Переглядів 424Рік тому
Programming in Python I File Handling - CSV files, CSV module & pandas module I Session - 16 | Hindi
Programming in Python I File handling (file I/O) - Text, CSV files I Session - 15 | Hindi
Переглядів 647Рік тому
Programming in Python I File handling (file I/O) - Text, CSV files I Session - 15 | Hindi
Programming in Python I Recursion, Binary Search I Session - 14 | Hindi
Переглядів 451Рік тому
Programming in Python I Recursion, Binary Search I Session - 14 | Hindi
Programming in Python I Practice & Doubt Solving I Session - 1 | OPPE 1 | Hindi
Переглядів 2,9 тис.Рік тому
Programming in Python I Practice & Doubt Solving I Session - 1 | OPPE 1 | Hindi
Programming in Python I Conditionals: If-elif-else I Session - 3 | Hindi
Переглядів 603Рік тому
Programming in Python I Conditionals: If-elif-else I Session - 3 | Hindi
Programming in Python I Tuples, Dictionary & Sets I Session - 13 | Hindi
Переглядів 486Рік тому
Programming in Python I Tuples, Dictionary & Sets I Session - 13 | Hindi
Programming in Python I Functions: LEGB Rule, Recursion I Session - 12 | Hindi
Переглядів 389Рік тому
Programming in Python I Functions: LEGB Rule, Recursion I Session - 12 | Hindi
Programming in Python I Functions - Usage, definition, parameters & arguments I Session - 11 | Hindi
Переглядів 484Рік тому
Programming in Python I Functions - Usage, definition, parameters & arguments I Session - 11 | Hindi
Programming in Python I List, Tuples, Matrix I Session - 10 | Hindi
Переглядів 669Рік тому
Programming in Python I List, Tuples, Matrix I Session - 10 | Hindi
Programming in Python I List: Insert, update, add, remove, pop I Session - 9 | Hindi
Переглядів 415Рік тому
Programming in Python I List: Insert, update, add, remove, pop I Session - 9 | Hindi
Programming in Python I loop patterns & F-string I Session - 8 | Hindi
Переглядів 391Рік тому
Programming in Python I loop patterns & F-string I Session - 8 | Hindi
Programming in Python I Loops - for loop, range(), continue I Session - 7 | Hindi
Переглядів 372Рік тому
Programming in Python I Loops - for loop, range(), continue I Session - 7 | Hindi
Programming in Python | Variables, Datatypes | Session - 2 | Hindi
Переглядів 1,3 тис.Рік тому
Programming in Python | Variables, Datatypes | Session - 2 | Hindi
thoda awaz increase plz
@@vishaIll from session 10, it's increased
bro please start the opp sessions becouse we are to afried about opp i thin we can not pass opp but quiz is well
Hey, will do a session next week.
share the link of data set
Here's the dataset used: www.kaggle.com/datasets/param302/stackoverflow-survey-2023
awaz kaam hai thodi bro
Bhai timestamps bhi lagana nxt time se...
Cool!
Great work Param Bhaiya 👌
Thank you 🙏
Excellent Work! You really teach very nice.
Thank you 🙏
Really great recap! After quiz 1, I'll be joining your sessions for further weeks too🤞
Thanks! That's great, let's meet in next session
Bhai please make more videos on opp 1
Yes, I will take revision and practice before OPPE too!
Thanks bhai ❤❤❤
🌟 Wow, this was an incredibly well-explained tutorial! Your breakdown of Python concepts is so clear and easy to follow. 👏 Thank you for sharing your knowledge and making learning Python such a pleasant experience. Looking forward to more amazing content! 👍 #PythonProgramming #LearningMadeEasy
Glad you liked it!
Thankyou bhaiya🤗🤗🤗🤗
Welcome!
Best as always bhaiya 🤗❤
Thank you 🙏
Great Paji 🙏
Thank you 🙏
Great work !
Thank you 🙏
Hey, I found these sessions super useful.
Thank you 🙏
Hey, thank you so much for these videos. just a request if you can refine the audio quality as well. the content btw is amazing.
Hi, audio quality is improved from session 6
bhaiya can i attend your live session?
Yes, you can! Join the calendar for sessions and turn on notifications. calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google
@@Param3021 bhaiya i am not able to join this calendar. It is telling me to check url please help
Please contact me on telegram @Param_302
Loving ur videos ..how can I contact u
Thanks! You can contact me via socials: param302.bio.link
On WhatsApp , should I share his number ?😅
Please don't 😅
@@AapkaApnaSameerBS-Degree yess
@@Param3021 thanks
plz do make detailed video on feature selection
Hey, session is completed for Feature Selection and Scaling. It's scheduled for tomorrow 12 noon. Check here: ua-cam.com/video/dYAPiLNmI00/v-deo.htmlsi=nUVxb9V0Owoo65dG
Welldone 👏
Thank you so much mam 😊
Amazing Param
Thank you 💛
good work
Thanks! 🙌
Great 👍
Thanks! Hope you liked it. 😁
would you please provide link for youtube videos for preparation of MLP oppe -1 and oppe - 2
Hey, I will soon take sessions on OPPE 1 and OPPE 2 and share the videos in the channel. Make sure to subscribe, also you can join the sessions' calendar.
Have you uploaded full ML playlist?
I am taking and uploading 2 sessions every week.
Thank you for your efforts 👏🏻🙏🏻
Welcome 😁
Nice session 🙌
Thanks!
Hi , is there a way to attend the sessions ? there were talks earlier about mlp project mentor but I couldn't find anything in pending payments tab.
Hi sure! You can join my calendar: calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google.com Also, I have a session today at 6-8 pm: Session 5: Data Preprocessing & Feature Engineering 🔗 meet.google.com/wxb-tisn-ehz
Thank you so much sir 🙏🙏🙏
Welcome!
These recordings are extremely helpful💫💫
Thank you 😊
Sir🛐🛐
great session
Thank you!
👏⭐
plz make videos on matplotlib and seaborn , visualization lib , maybe even plotly and how to show graphs and charts in MLP projects
Oky, I will do polls in groups, if got good amount of votes, will do a session. Also now in each and every session we will do a lot of visualization.
Good explanation broo 😊😊🎉🎉❤
Thank you!
Is this a series of many upcoming session or a single session
Yes, it's a series.
Wow, so good to see you take classes 🚀🚀
Thank you bhaiya ❤
You explain really well, can i dm you by any way? i am having a few doubts
Yes, param302.bio.link
@@Param3021 I will dm you in telegram
great job @param
Ye help(d) wala kash maine oppe1 se pehle dekhliya hota tlh 100 aa jaata . Syntax error hi nhi khatam hua full oppe mein 😭😭😭
Person speaking in the video same as parampreet from the group python by parampreet admin ?
Yep, I am the same person 😌
Please reupload this lecture with voice if possible as there is no voice in the video
You seriously are too good. consider starting teaching other programming languages and launching courses.
Please share the notes for the same
I have not created any notes
Nicely explained