Parampreet Singh
Parampreet Singh
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  • 38 614
OPPE 1 Revision 2 with Practice Questions | Machine Learning Practices | Session - 13
OPPE 1 Revision 2 with Practice Questions | Machine Learning Practices | Session - 13
This session is collaborated with GIR House, one of the 12 Houses of IITM BS Degree
Access 50+ Practice Questions, NPPE & Mock Solutions in the feedback form:
forms.gle/pMaacwzLzkt366dq8
In this session, we've covered:-
- 20+ New Practice Questions
- Concepts Revision from Week 1 to Week 5
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
Please fill this feedback form to rate my sessions:
forms.gle/pMaacwzLzkt366dq8
Topics included in OPPE 1:
- Numpy
- Pandas
- Sklearn datasets
- Sklearn preprocessing
- Sklearn model selection
- Sklearn metrics
- Sklearn pipeline
- Sklearn feature selection
- Sklearn linear model
- Linear regression / SGD regressor
- Data Preprocessing
- Data Cleaning (Missing Values, Outliers)
- - SimpleImputer
- - KNNImputer
- Feature Engineering
- - Polynomial Features
- - Interaction Features
- Feature Transformation
- - Encoding
- - - OneHotEncoder
- - - OrdinalEncoder
- - - LabelEncoder
- Feature Selection
- - SelectKBest
- - SelectPercentile
- - RFE
- - RFECV
- - SelectFromModel
- - Mutual Information
- - VarianceThreshold
- - chi2
- Feature Scaling
- - StandardScaler
- - MinMaxScaler
- - MaxAbsScaler
- Model Pipeline
- - Pipeline
- - FeatureUnion
- - ColumnTransformer
- Linear Regression
- - Simple Linear Regression
- - SGD Regressor
- - Ridge Regression (L2)
- - Lasso Regression (L1)
- Cross Validation
- - ShuffleSplit
- - LeaveOneOut
- - KFold
- - StratifiedKFold
- Hyperparameter Tuning
- - GridSearchCV
- - RandomizedSearchCV
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
มุมมอง: 777

วีดีโอ

PYTHON OPPE 1 REVISION Session | Programming in Python | Session - 232:35:29PYTHON OPPE 1 REVISION Session | Programming in Python | Session - 23
PYTHON OPPE 1 REVISION Session | Programming in Python | Session - 23
มุมมอง 2.2K7 ชั่วโมงที่ผ่านมา
PYTHON OPPE 1 REVISION Session | Programming in Python | Session - 23 This session is collaborated with GIR House, one of the 12 Houses of IITM BS Degree. Access: Error Sheet, OPPE 1 Tips, PYQs, Codes you can find in the feedback form: forms.gle/VuvkU7sCkpPME8BEA Topics Covered: - Dictionary - List of Dictionaries - map(), filter() - str.join(), str.split() - Practice questions from OPPE1 Pytho...
OPPE 1 Revision Session 1 | Machine Learning Practices | Session - 121:41:12OPPE 1 Revision Session 1 | Machine Learning Practices | Session - 12
OPPE 1 Revision Session 1 | Machine Learning Practices | Session - 12
มุมมอง 94712 ชั่วโมงที่ผ่านมา
OPPE 1 Revision Session 1 | Machine Learning Practices | Session - 12 This session is collaborated with GIR House, one of the 12 Houses of IITM BS Degree Please fill this feedback form to rate my sessions: forms.gle/pMaacwzLzkt366dq8 In this session, we've covered:- - Concepts from Week 1 to Week 5 - OPPE 1 Mock 1 - OPPE 1 Mock 2 Kaggle notebooks 🔼 (Make sure to upvote them): Concepts Revision ...
QUIZ 1 REVISION Session | Machine Learning Practices | Session - 102:03:22QUIZ 1 REVISION Session | Machine Learning Practices | Session - 10
QUIZ 1 REVISION Session | Machine Learning Practices | Session - 10
มุมมอง 67214 วันที่ผ่านมา
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 no...
PYTHON QUIZ 1 REVISION Session | Programming in Python | Session - 222:16:46PYTHON QUIZ 1 REVISION Session | Programming in Python | Session - 22
PYTHON QUIZ 1 REVISION Session | Programming in Python | Session - 22
มุมมอง 1.1K14 วันที่ผ่านมา
PYTHON QUIZ 1 REVISION Session | Programming in Python | Session - 22 Access my Python Sessions covered all concepts from Week 1 to 12 here: th-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 🔗 param30...
LINEAR REGRESSION & GRADIENT DESCENT | Machine Learning Practices | Session - 92:09:40LINEAR REGRESSION & GRADIENT DESCENT | Machine Learning Practices | Session - 9
LINEAR REGRESSION & GRADIENT DESCENT | Machine Learning Practices | Session - 9
มุมมอง 50414 วันที่ผ่านมา
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 - 83:02:14LINEAR REGRESSION & Model Pipeline | Machine Learning Practices | Session - 8
LINEAR REGRESSION & Model Pipeline | Machine Learning Practices | Session - 8
มุมมอง 1.3K21 วันที่ผ่านมา
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 - 71:45:36Feature SELECTION & SCALING | Machine Learning Practices | Session - 7
Feature SELECTION & SCALING | Machine Learning Practices | Session - 7
มุมมอง 84321 วันที่ผ่านมา
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 - 644:35Feature Engineering | Machine Learning Practices | Session - 6
Feature Engineering | Machine Learning Practices | Session - 6
มุมมอง 41221 วันที่ผ่านมา
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 @linuxdelhi21:50PYTHON 1 LINERS - PyRustLin TALK By Parampreet Singh | @PyDelhiOrg x @RustDelhi x @linuxdelhi
PYTHON 1 LINERS - PyRustLin TALK By Parampreet Singh | @PyDelhiOrg x @RustDelhi x @linuxdelhi
มุมมอง 1.8K28 วันที่ผ่านมา
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 - 51:56:15DATA PREPROCESSING | Machine Learning Practices | Session - 5
DATA PREPROCESSING | Machine Learning Practices | Session - 5
มุมมอง 1.3Kหลายเดือนก่อน
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 - 42:15:35ML Workflow & Taxi Trip Prediction | Machine Learning Practices | Session - 4
ML Workflow & Taxi Trip Prediction | Machine Learning Practices | Session - 4
มุมมอง 1.2Kหลายเดือนก่อน
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 - 32:02:59PYTHON - EDA & Project Guide | Machine Learning Practices | Session - 3
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มุมมอง 1.2Kหลายเดือนก่อน
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 - 23:00:24PYTHON - PANDAS Library | Machine Learning Practices | Session - 2
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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 - 12:24:18PYTHON, NUMPY Library | Machine Learning Practices | Session - 1
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มุมมอง 2.2Kหลายเดือนก่อน
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 ...
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Programming in Python I OPPE 2 - Revision Session I Session - 20 | Hindi2:26:29Programming in Python I OPPE 2 - Revision Session I Session - 20 | Hindi
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ความคิดเห็น

  • @ironcosmos07
    @ironcosmos07 วันที่ผ่านมา

    We have to get 40/100 average of both oppes right?

  • @user-jz5bx2xr6d
    @user-jz5bx2xr6d วันที่ผ่านมา

    One suggestion, brother. If possible, code in Google Colab. 1. It is easy to share, so we can also experiment. 2. Have different columns for code for different questions so there is no need to use comments. 3. Makes it easy for us to review everything in one place.

  • @codeiloveyou
    @codeiloveyou วันที่ผ่านมา

    gajab.. chalo mai bhi join karta hu. .

  • @UttamTiwari-vg6jy
    @UttamTiwari-vg6jy 2 วันที่ผ่านมา

    Bro how can I join these live sessions??

    • @Param3021
      @Param3021 2 วันที่ผ่านมา

      You can join the calendar, i update the sessions details there with meet link: calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google.com

  • @KushalTiwari.
    @KushalTiwari. 3 วันที่ผ่านมา

    Best 🥰🙏

  • @NormieDead
    @NormieDead 11 วันที่ผ่านมา

    i have no idea why im here as omi. but yeah congratulation on 1k

    • @Param3021
      @Param3021 2 วันที่ผ่านมา

      Thanks!

  • @vishaIll
    @vishaIll 12 วันที่ผ่านมา

    thoda awaz increase plz

    • @Param3021
      @Param3021 12 วันที่ผ่านมา

      @@vishaIll from session 10, it's increased

  • @AnshuSharma-bo7in
    @AnshuSharma-bo7in 12 วันที่ผ่านมา

    bro please start the opp sessions becouse we are to afried about opp i thin we can not pass opp but quiz is well

    • @Param3021
      @Param3021 12 วันที่ผ่านมา

      Hey, will do a session next week.

  • @sword8446
    @sword8446 13 วันที่ผ่านมา

    share the link of data set

    • @Param3021
      @Param3021 13 วันที่ผ่านมา

      Here's the dataset used: www.kaggle.com/datasets/param302/stackoverflow-survey-2023

  • @oldmoviesincolored
    @oldmoviesincolored 14 วันที่ผ่านมา

    awaz kaam hai thodi bro

  • @user-nt7et6ui9w
    @user-nt7et6ui9w 15 วันที่ผ่านมา

    Bhai timestamps bhi lagana nxt time se...

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Cool!

  • @samratashoka4538
    @samratashoka4538 15 วันที่ผ่านมา

    Great work Param Bhaiya 👌

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Thank you 🙏

  • @virus_suriv-ut4mh
    @virus_suriv-ut4mh 15 วันที่ผ่านมา

    Excellent Work! You really teach very nice.

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Thank you 🙏

  • @rahul_ys
    @rahul_ys 15 วันที่ผ่านมา

    Really great recap! After quiz 1, I'll be joining your sessions for further weeks too🤞

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Thanks! That's great, let's meet in next session

  • @AnshuSharma-bo7in
    @AnshuSharma-bo7in 15 วันที่ผ่านมา

    Bhai please make more videos on opp 1

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Yes, I will take revision and practice before OPPE too!

    • @AnshuSharma-bo7in
      @AnshuSharma-bo7in 15 วันที่ผ่านมา

      Thanks bhai ❤❤❤

  • @Vaishnavi-kq6zl
    @Vaishnavi-kq6zl 15 วันที่ผ่านมา

    🌟 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

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Glad you liked it!

  • @ManishKumar-qr4hb
    @ManishKumar-qr4hb 16 วันที่ผ่านมา

    Thankyou bhaiya🤗🤗🤗🤗

    • @Param3021
      @Param3021 15 วันที่ผ่านมา

      Welcome!

  • @KushalTiwari.
    @KushalTiwari. 16 วันที่ผ่านมา

    Best as always bhaiya 🤗❤

    • @Param3021
      @Param3021 16 วันที่ผ่านมา

      Thank you 🙏

  • @Nitin-ee6tw
    @Nitin-ee6tw 16 วันที่ผ่านมา

    Great Paji 🙏

    • @Param3021
      @Param3021 16 วันที่ผ่านมา

      Thank you 🙏

  • @AmitojSinghMiglani
    @AmitojSinghMiglani 16 วันที่ผ่านมา

    Great work !

    • @Param3021
      @Param3021 16 วันที่ผ่านมา

      Thank you 🙏

  • @krishnaa9358
    @krishnaa9358 16 วันที่ผ่านมา

    Hey, I found these sessions super useful.

    • @Param3021
      @Param3021 16 วันที่ผ่านมา

      Thank you 🙏

  • @RajatUpadhyay-p8r
    @RajatUpadhyay-p8r 17 วันที่ผ่านมา

    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.

    • @Param3021
      @Param3021 17 วันที่ผ่านมา

      Hi, audio quality is improved from session 6

  • @cyclocybertrix9801
    @cyclocybertrix9801 20 วันที่ผ่านมา

    bhaiya can i attend your live session?

    • @Param3021
      @Param3021 19 วันที่ผ่านมา

      Yes, you can! Join the calendar for sessions and turn on notifications. calendar.google.com/calendar/u/0/r?cid=a8befe210b01089b6fcaf692ef2de1cf1f6127133f081a7885c66ff082614b9a@group.calendar.google

    • @cyclocybertrix9801
      @cyclocybertrix9801 19 วันที่ผ่านมา

      @@Param3021 bhaiya i am not able to join this calendar. It is telling me to check url please help

    • @Param3021
      @Param3021 19 วันที่ผ่านมา

      Please contact me on telegram @Param_302

  • @Techartdiary
    @Techartdiary 24 วันที่ผ่านมา

    Loving ur videos ..how can I contact u

    • @Param3021
      @Param3021 24 วันที่ผ่านมา

      Thanks! You can contact me via socials: param302.bio.link

    • @AapkaApnaSameerBS-Degree
      @AapkaApnaSameerBS-Degree 24 วันที่ผ่านมา

      On WhatsApp , should I share his number ?😅

    • @Param3021
      @Param3021 24 วันที่ผ่านมา

      Please don't 😅

    • @Techartdiary
      @Techartdiary 23 วันที่ผ่านมา

      @@AapkaApnaSameerBS-Degree yess

    • @Techartdiary
      @Techartdiary 23 วันที่ผ่านมา

      @@Param3021 thanks

  • @praulayar4805
    @praulayar4805 25 วันที่ผ่านมา

    plz do make detailed video on feature selection

    • @Param3021
      @Param3021 25 วันที่ผ่านมา

      Hey, session is completed for Feature Selection and Scaling. It's scheduled for tomorrow 12 noon. Check here: th-cam.com/video/dYAPiLNmI00/w-d-xo.htmlsi=nUVxb9V0Owoo65dG

  • @AECcomputers
    @AECcomputers 27 วันที่ผ่านมา

    Welldone 👏

    • @Param3021
      @Param3021 27 วันที่ผ่านมา

      Thank you so much mam 😊

  • @dustinhenderson1814
    @dustinhenderson1814 28 วันที่ผ่านมา

    Amazing Param

    • @Param3021
      @Param3021 28 วันที่ผ่านมา

      Thank you 💛

  • @rohanagarwal946
    @rohanagarwal946 29 วันที่ผ่านมา

    good work

    • @Param3021
      @Param3021 28 วันที่ผ่านมา

      Thanks! 🙌

  • @Mandeep_Gahlawat
    @Mandeep_Gahlawat 29 วันที่ผ่านมา

    Great 👍

    • @Param3021
      @Param3021 28 วันที่ผ่านมา

      Thanks! Hope you liked it. 😁

  • @user-hb5jc1yh5g
    @user-hb5jc1yh5g หลายเดือนก่อน

    would you please provide link for youtube videos for preparation of MLP oppe -1 and oppe - 2

    • @Param3021
      @Param3021 28 วันที่ผ่านมา

      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.

  • @FreeFireGaming-vu6nc
    @FreeFireGaming-vu6nc หลายเดือนก่อน

    Have you uploaded full ML playlist?

    • @Param3021
      @Param3021 หลายเดือนก่อน

      I am taking and uploading 2 sessions every week.

  • @Adaa512
    @Adaa512 หลายเดือนก่อน

    Thank you for your efforts 👏🏻🙏🏻

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Welcome 😁

  • @Adaa512
    @Adaa512 หลายเดือนก่อน

    Nice session 🙌

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Thanks!

  • @shivaniits
    @shivaniits หลายเดือนก่อน

    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.

    • @Param3021
      @Param3021 หลายเดือนก่อน

      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

  • @thunderbolt8115
    @thunderbolt8115 หลายเดือนก่อน

    Thank you so much sir 🙏🙏🙏

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Welcome!

  • @Adaa512
    @Adaa512 หลายเดือนก่อน

    These recordings are extremely helpful💫💫

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Thank you 😊

  • @thunderbolt8115
    @thunderbolt8115 หลายเดือนก่อน

    Sir🛐🛐

  • @Adaa512
    @Adaa512 หลายเดือนก่อน

    great session

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Thank you!

  • @Adaa512
    @Adaa512 หลายเดือนก่อน

    👏⭐

  • @praulayar4805
    @praulayar4805 หลายเดือนก่อน

    plz make videos on matplotlib and seaborn , visualization lib , maybe even plotly and how to show graphs and charts in MLP projects

    • @Param3021
      @Param3021 หลายเดือนก่อน

      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.

  • @shanmugamn920
    @shanmugamn920 หลายเดือนก่อน

    Good explanation broo 😊😊🎉🎉❤

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Thank you!

  • @mayureshbalsaraf2696
    @mayureshbalsaraf2696 หลายเดือนก่อน

    Is this a series of many upcoming session or a single session

    • @Param3021
      @Param3021 หลายเดือนก่อน

      Yes, it's a series.