Parampreet Singh
Parampreet Singh
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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
zhlédnutí: 777

Video

PYTHON OPPE 1 REVISION Session | Programming in Python | Session - 23
zhlédnutí 2,2KPřed 19 hodinami
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 - 12
zhlédnutí 947Před dnem
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 - 10
zhlédnutí 672Před 14 dny
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 - 22
zhlédnutí 1,1KPřed 14 dny
PYTHON QUIZ 1 REVISION Session | Programming in Python | Session - 22 Access my Python Sessions covered all concepts from Week 1 to 12 here: czcams.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 - 9
zhlédnutí 504Před 14 dny
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
zhlédnutí 1,3KPřed 21 dnem
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
zhlédnutí 843Před 21 dnem
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
zhlédnutí 412Před 21 dnem
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
zhlédnutí 1,8KPřed 28 dny
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
zhlédnutí 1,3KPřed měsícem
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
zhlédnutí 1,2KPřed měsícem
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
zhlédnutí 1,2KPřed měsícem
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
zhlédnutí 1,1KPřed měsícem
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
zhlédnutí 2,2KPřed měsícem
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
zhlédnutí 143Před 5 měsíci
Discord Verification Bot | Project Demo | Parampreet Singh
Programming in Python I OPPE 2 - Revision Session I Session - 20 | Hindi
zhlédnutí 2,4KPřed 11 měsíci
Programming in Python I OPPE 2 - Revision Session I Session - 20 | Hindi
Programming in Python I OPPE 2 Practice Session I Session - 21 | Hindi
zhlédnutí 1,8KPřed rokem
Programming in Python I OPPE 2 Practice Session I Session - 21 | Hindi
Programming in Python I OOP - Types of Inheritance I Session - 19 | Hindi
zhlédnutí 297Před rokem
Programming in Python I OOP - Types of Inheritance I Session - 19 | Hindi
Programming in Python I OOP - Object Oriented Programming I Session - 18 | Hindi
zhlédnutí 299Před rokem
Programming in Python I OOP - Object Oriented Programming I Session - 18 | Hindi
Programming in Python I File Handling - CSV file I/O I Session - 17 | Hindi
zhlédnutí 434Před rokem
Programming in Python I File Handling - CSV file I/O I Session - 17 | Hindi
Programming in Python I File handling - Text file I/O I Session - 16 | Hindi
zhlédnutí 663Před rokem
Programming in Python I File handling - Text file I/O I Session - 16 | Hindi
Programming in Python I Recursion & Binary Search I Session - 15 | Hindi
zhlédnutí 478Před rokem
Programming in Python I Recursion & Binary Search I Session - 15 | Hindi
Programming in Python I OPPE 1 Practice Session I Session - 14 | Hindi
zhlédnutí 3,4KPřed rokem
Programming in Python I OPPE 1 Practice Session I Session - 14 | Hindi
Programming in Python I Conditionals: If-elif-else I Session - 3 | Hindi
zhlédnutí 695Před rokem
Programming in Python I Conditionals: If-elif-else I Session - 3 | Hindi
Programming in Python I Data Structures - Dictionary & Sets I Session - 13 | Hindi
zhlédnutí 558Před rokem
Programming in Python I Data Structures - Dictionary & Sets I Session - 13 | Hindi
Programming in Python I Functions: LEGB Rule & Recursion I Session - 12 | Hindi
zhlédnutí 418Před rokem
Programming in Python I Functions: LEGB Rule & Recursion I Session - 12 | Hindi
Programming in Python I Functions - Usage, def & arguments I Session - 11 | Hindi
zhlédnutí 524Před rokem
Programming in Python I Functions - Usage, def & arguments I Session - 11 | Hindi
Programming in Python I Data Structures - List, Tuple & Matrix I Session - 10 | Hindi
zhlédnutí 735Před rokem
Programming in Python I Data Structures - List, Tuple & Matrix I Session - 10 | Hindi
Programming in Python I Data Structures - List I Session - 9 | Hindi
zhlédnutí 452Před rokem
Programming in Python I Data Structures - List I Session - 9 | Hindi

Komentáře

  • @ironcosmos07
    @ironcosmos07 Před dnem

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

  • @user-jz5bx2xr6d
    @user-jz5bx2xr6d Před dnem

    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 Před 2 dny

    gajab.. chalo mai bhi join karta hu. .

  • @UttamTiwari-vg6jy
    @UttamTiwari-vg6jy Před 3 dny

    Bro how can I join these live sessions??

    • @Param3021
      @Param3021 Před 3 dny

      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. Před 3 dny

    Best 🥰🙏

  • @NormieDead
    @NormieDead Před 11 dny

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

  • @vishaIll
    @vishaIll Před 12 dny

    thoda awaz increase plz

    • @Param3021
      @Param3021 Před 12 dny

      @@vishaIll from session 10, it's increased

  • @AnshuSharma-bo7in
    @AnshuSharma-bo7in Před 13 dny

    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 Před 12 dny

      Hey, will do a session next week.

  • @sword8446
    @sword8446 Před 14 dny

    share the link of data set

    • @Param3021
      @Param3021 Před 14 dny

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

  • @oldmoviesincolored
    @oldmoviesincolored Před 15 dny

    awaz kaam hai thodi bro

  • @user-nt7et6ui9w
    @user-nt7et6ui9w Před 15 dny

    Bhai timestamps bhi lagana nxt time se...

  • @samratashoka4538
    @samratashoka4538 Před 16 dny

    Great work Param Bhaiya 👌

  • @virus_suriv-ut4mh
    @virus_suriv-ut4mh Před 16 dny

    Excellent Work! You really teach very nice.

  • @rahul_ys
    @rahul_ys Před 16 dny

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

    • @Param3021
      @Param3021 Před 16 dny

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

  • @AnshuSharma-bo7in
    @AnshuSharma-bo7in Před 16 dny

    Bhai please make more videos on opp 1

  • @Vaishnavi-kq6zl
    @Vaishnavi-kq6zl Před 16 dny

    🌟 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

  • @ManishKumar-qr4hb
    @ManishKumar-qr4hb Před 16 dny

    Thankyou bhaiya🤗🤗🤗🤗

  • @KushalTiwari.
    @KushalTiwari. Před 16 dny

    Best as always bhaiya 🤗❤

  • @Nitin-ee6tw
    @Nitin-ee6tw Před 16 dny

    Great Paji 🙏

  • @AmitojSinghMiglani
    @AmitojSinghMiglani Před 16 dny

    Great work !

  • @krishnaa9358
    @krishnaa9358 Před 17 dny

    Hey, I found these sessions super useful.

  • @RajatUpadhyay-p8r
    @RajatUpadhyay-p8r Před 17 dny

    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 Před 17 dny

      Hi, audio quality is improved from session 6

  • @cyclocybertrix9801
    @cyclocybertrix9801 Před 20 dny

    bhaiya can i attend your live session?

    • @Param3021
      @Param3021 Před 19 dny

      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 Před 19 dny

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

    • @Param3021
      @Param3021 Před 19 dny

      Please contact me on telegram @Param_302

  • @Techartdiary
    @Techartdiary Před 25 dny

    Loving ur videos ..how can I contact u

  • @praulayar4805
    @praulayar4805 Před 25 dny

    plz do make detailed video on feature selection

    • @Param3021
      @Param3021 Před 25 dny

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

  • @AECcomputers
    @AECcomputers Před 28 dny

    Welldone 👏

    • @Param3021
      @Param3021 Před 28 dny

      Thank you so much mam 😊

  • @dustinhenderson1814
    @dustinhenderson1814 Před 29 dny

    Amazing Param

  • @rohanagarwal946
    @rohanagarwal946 Před 29 dny

    good work

  • @Mandeep_Gahlawat
    @Mandeep_Gahlawat Před 29 dny

    Great 👍

    • @Param3021
      @Param3021 Před 28 dny

      Thanks! Hope you liked it. 😁

  • @user-hb5jc1yh5g
    @user-hb5jc1yh5g Před měsícem

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

    • @Param3021
      @Param3021 Před 28 dny

      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 Před měsícem

    Have you uploaded full ML playlist?

    • @Param3021
      @Param3021 Před měsícem

      I am taking and uploading 2 sessions every week.

  • @Adaa512
    @Adaa512 Před měsícem

    Thank you for your efforts 👏🏻🙏🏻

  • @Adaa512
    @Adaa512 Před měsícem

    Nice session 🙌

  • @shivaniits
    @shivaniits Před měsícem

    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 Před měsícem

      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 Před měsícem

    Thank you so much sir 🙏🙏🙏

  • @Adaa512
    @Adaa512 Před měsícem

    These recordings are extremely helpful💫💫

  • @thunderbolt8115
    @thunderbolt8115 Před měsícem

    Sir🛐🛐

  • @Adaa512
    @Adaa512 Před měsícem

    great session

  • @Adaa512
    @Adaa512 Před měsícem

    👏⭐

  • @praulayar4805
    @praulayar4805 Před měsícem

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

    • @Param3021
      @Param3021 Před měsícem

      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 Před měsícem

    Good explanation broo 😊😊🎉🎉❤

  • @mayureshbalsaraf2696
    @mayureshbalsaraf2696 Před měsícem

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