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Issue Resolved Body Fat Prediction Model #38 #58
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Python to create the random password with strong protection on compilation every time of required length
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Play random songs any directory just giving the path of the directory/folder in the this file.
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This program give the details about temperature and other conditions
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This python program give details of the phone number with country name, service provider, time zone, etc.
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Learn numpy library from basics using functions
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Calculator gui which can convert from foot to meters using python tkinter.
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PYTHON-SCRIPTS Repository has been transferring into AIMasterMindHub Repository.
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Merge pull request #1 from Avdhesh-Varshney/ps-merge
PYTHON-SCRIPTS Repo Merged.
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Developing a Linear Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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✍️Polynomial Regression Algo.📜
Developing a Polynomial Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a Ridge Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a Lasso Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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🌲Decision Tree Regression Algo.📜
Developing a Decision Tree Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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🌳Random Forest Regression Algo.📜
Developing a Random Forest Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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💥Gradient Boosting Regression Algo.📜
Developing a Gradient Boosting Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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🤡Support Vector Regression Algo.📜
Developing a Support Vector Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a Bayesian Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a KNN Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a Neural Network Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a Logistic Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Developing a XG Boost Regression algorithm from scratch provides an immersive opportunity to delve deeply into its intricacies, gaining comprehensive insights into the mechanisms operating behind the scenes.
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Scratch code of Mean Squared Error loss function to study it in depth with different models to know their accuracy and scores.
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Scratch code of R2 Squared loss function to study it in depth with different models to know their accuracy and scores.
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- Removed Notes - Removed Coursera courses code - Removed Practice Libraries code All these are not required by this open source project.
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Merge pull request Avdhesh-Varshney#10 from KamakshiOjha/new
Elastic Net Regression Algorithm
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Merge pull request Avdhesh-Varshney#14 from Praneet0327/nlp_intro
Introduction to NLP Concepts and NLTK Setup Guide
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Merge pull request Avdhesh-Varshney#16 from UTSAVS26/feature/HuberReg…
…ression 🌏 Huber Regression Algorithm 📜 to ML/Algorithms/Regressions Repository
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- Add Issue templates - Also PR templates - Some greetings workflows
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This template is for the contribution of explanation of project approaches only.
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- added the readme to record the all the contents of the directories - different types of algorithms - available documentations - available projects.
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Merge pull request Avdhesh-Varshney#25 from Praneet0327/text_prep
Documentation on Text Preprocessing Techniques
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Fixed Issue Avdhesh-Varshney#20 [Feature Request] Add loss functions …
…for classification tasks Added hinge loss, KL Divergence loss and four versions of cross entropy loss Signed-off-by: Arijit De <arijitde2050@gmail.com>
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Merge pull request Avdhesh-Varshney#30 from arijitde92/losses
Fixed Issue Avdhesh-Varshney#20 [Feature Request] Add loss functions for classification tasks
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Merge pull request Avdhesh-Varshney#31 from bhanushri12/bhanushribranch
added new loss functions
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Commits on Jun 15, 2024
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Merge pull request Avdhesh-Varshney#44 from Mayureshd-18/mayud
Added Ranking Losses
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* Update README.md * add file * Delete NLP/Algorithms/Installation_set-up_NLTK.ipynb * Update README.md
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Python programs on Dynamic Programming (Avdhesh-Varshney#50)
* Added directory for Python programs on Dynamic Programming * Added directory for Python programs on Dynamic Programming * Added directory for Python programs on Dynamic Programming
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[FEATURE ADD] StandardScaler MinMaxScaler OrdinalEncoder Algorithms a…
…dded (Avdhesh-Varshney#51) * Algorithms Standard_Scaler, Min_Max_Scaler, Ordinal_Encoder added, also respective documentation added * Documentation Added * Ordinal Encoding debugged * Ordinal Encoder Readme updated * Pre-Processing Readme updated
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Commits on Jun 27, 2024
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Merge pull request #1 from vishalmaurya850/vishalmaurya850-patch-1
Add files via upload
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Merge pull request #2 from vishalmaurya850/vishalmaurya850-patch-2
Add Notebook via upload
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Merge pull request #3 from vishalmaurya850/vishalmaurya850-patch-2
Create Body Fat Model Documentation
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Merge pull request #4 from vishalmaurya850/vishalmaurya850-patch-2
Delete ML/Projects/Body Fat Prediction/New Text Document.txt
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Readme file in Body Fat Prediction
Added a Readme.md file for Body Fat Prediction
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Delete Body Fat Model Documentation
Deleted documentation for body fat model
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