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Learner CARES @learnerCARES

A learner, working as a full-time Data Science Manager. In my spare time, focusing on only one thing — To help people learn 📚 🌱🎯️🏆

Joined March 2022
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  • Followers 9
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Learner CARES@learnerCARES
25 Nov 2023
Check out my latest Kaggle articles! The Promotion Game: Predict Who Will Win 🎖️ The Signs You're on Right Track for a Promotion 📈💯 kaggle.com/code/itsmohammads…
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I'm thrilled to share that my original research paper has been successfully published in Elsevier, a prestigious publisher renowned for its academic journals. sciencedirect.com/science/ar…
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Delighted to share new publication in highly reputed Journal: Cancers ( IF: 6.7) Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using AI and ML Assisted Transcriptomics Analysis mdpi.com/2347724 #mdpicancers via @Cancers_MDPI

Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using...

Background: Breast cancer (BC) is one of the most common female cancers. Clinical and histopathological information is collectively used for diagnosis, but is often not precise. We applied machine...

mdpi.com
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Handy Python Pandas for Merging and Joining Data link.medium.com/VynkwcliJyb

Handy Python Pandas for Merging and Joining Data

Data Cleaning & Data Preparation Series —  pd.merge(df1,df2,on='key', how='inner'), pd.merge(df1,df2,on='key', how='outer')…

link.medium.com
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Your Ultimate Guide to Programming: Free Cheat Sheets for 2023🧑‍🚀⚙️ link.medium.com/Nn0zwyybtyb

Your Ultimate Guide to Programming: Free Cheat Sheets for 2023🧑‍🚀⚙️

A reference guide that provides a quick overview of the most commonly used syntax, concepts, and features.

link.medium.com
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Published our research on the Gene expression study of breast cancer using Welch Satterthwaite t-test, Kaplan-Meier estimator plot and Huber loss robust regression model. Read our paper here: [tinyurl.com/4xp355hw] #breastcancer #huberloss #regressionmodel.
Our findings suggest that the Huber loss robust regression model is an effective algorithm for modeling the relationship between control and breast tumor samples. This algorithm produced a correlation coefficient of 0.4398 and a mean absolute error of 1.069 ± 0.020, indicating a good fit between the model and the data. Read our paper here: [https://tinyurl.com/4xp355hw] #breastcancer #huberloss #regressionmodel.

ALT Our findings suggest that the Huber loss robust regression model is an effective algorithm for modeling the relationship between control and breast tumor samples. This algorithm produced a correlation coefficient of 0.4398 and a mean absolute error of 1.069 ± 0.020, indicating a good fit between the model and the data. Read our paper here: [https://tinyurl.com/4xp355hw] #breastcancer #huberloss #regressionmodel.
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Zero-Cost Learning: Free Resources for Data Science Beginners and Professionals🧑‍🚀 link.medium.com/EXUkX84GYxb #ZeroCostLearning #FreeResources #DataScience #Learning #OnlineCourses #Tutorials

Zero-Cost Learning: Free Resources for Data Science Beginners and Professionals🧑‍🚀

“Education is the most powerful weapon which you can use to change the world.”— Nelson Mandela✍️

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Top 15 Free Data Sources for DATA SCIENCE Projects link.medium.com/F2ZezeW9Xxb #FreeDataSources #DataScience #BigData #DataScienceProject

Top 15 Free Data Sources for DATA SCIENCE Projects

Free data sources are essential for data scientists because they provide access to large volumes of data without the need for costly data…

link.medium.com
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Future-Proofing Your Career: The Top 10 Essential Skills for Data Science in 2023 link.medium.com/J7KANWoSNxb

Future-Proofing Your Career: The Top 10 Essential Skills for Data Science in 2023

The Essential Skills for Data Science in 2023: A Guide for Aspiring Data Scientists

link.medium.com
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What is underfitting and overfitting of the ML model, and how can it be prevented? link.medium.com/FJPQbrUWMxb

What is underfitting and overfitting of the ML model, and how can it be prevented?

Some of the techniques used to prevent underfitting and overfitting

link.medium.com
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Handy Python Pandas for Data Filtering link.medium.com/uhuwaVWOHxb #DataScience #Python #pandas

Handy Python Pandas for Data Filtering

Data Cleaning & Data Preparation Series —  df.query(), df.loc(row label, column lebel), df.iloc(integer row index, column index)

link.medium.com
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Please check the article on "Handy Python Pandas for Data Aggregation" learner-cares.medium.com/han…

Handy Python Pandas for Data Aggregation

Data Cleaning & Data Preparation Series —  df.groupby(), df.pivot(), df.melt()

learner-cares.medium.com
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Please check out the article on "Handy Python Pandas for Handling Missing Values" learner-cares.medium.com/han…

Handy Pandas Python Library for Handling Missing Values

Data Cleaning Series — isna(), isnull(), notnull(), dropna(),fillna(0), replace()

learner-cares.medium.com
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Please check out the article on "Handy Python Pandas for Data Cleaning and Preprocessing" learner-cares.medium.com/com…

Handy Python Pandas for Data Cleaning and Preprocessing

Data Cleaning & Data Preparation Series — Commonly used methods

learner-cares.medium.com
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Please check out the article on "Deploying Breast Cancer Prediction Model Using Flask APIs and Heroku" medium.com/swlh/deploying-br…

Deploying Breast Cancer Prediction Model Using Flask APIs and Heroku

ML Model to Predict Whether the Cancer Is Benign or Malignant on Breast Cancer Wisconsin Data Set

medium.com
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