![Parampreet Singh](/img/default-banner.jpg)
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- 38 614
Parampreet Singh
India
Registrace 21. 02. 2018
19 y/o • Self-taught Developer • IIT-Madras B.S'26 👨🎓 • Python 🐍 • ML Enthusiast 🤖
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
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
We have to get 40/100 average of both oppes right?
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.
gajab.. chalo mai bhi join karta hu. .
Bro how can I join these live sessions??
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
Best 🥰🙏
i have no idea why im here as omi. but yeah congratulation on 1k
Thanks!
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: czcams.com/video/dYAPiLNmI00/video.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.