Advance Project : Breast Cancer Classification Using Machine Learning

🚀 Welcome to the Multiverse of 100+ Data Science Project Series!
🌐 Episode 11 delves into the realm of healthcare analytics with Breast Cancer Prediction using Python.

📚 Series Overview:
Embark on an enlightening data science voyage with our Multiverse series, featuring over 100 captivating projects meticulously curated to enhance your skills and knowledge. Whether you're a beginner or an expert, our series offers an array of projects to cater to every level.

🎗️ Episode 11: Breast Cancer Prediction
Join us as we tackle the vital task of predicting breast cancer using Python and machine learning algorithms. Learn how to analyze medical data, extract relevant features, and build predictive models to identify individuals at risk of breast cancer. From data preprocessing to model evaluation, this episode equips you with the tools to make informed healthcare predictions.

🔧 Tools and Technologies:

Python
Jupyter Notebooks
Pandas
NumPy
Scikit-learn
📈 What You'll Learn:

Understanding breast cancer and its risk factors
Preprocessing and analyzing medical data
Feature selection and engineering
Building predictive models using machine learning algorithms
Evaluating model performance and interpreting results
🚀 Join the Multiverse Community:
Connect with like-minded data enthusiasts, share your insights, and seek support on our vibrant community forums. The Multiverse community is your platform for collaboration, learning, and growth in the dynamic field of data science.

🔗 Resources:
Access the code, datasets, and additional materials on our GitHub repository. Follow along with the tutorial and uncover the secrets of Breast Cancer Prediction using Python.

📸 Instagram: @knowledge_doctor.

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🚀 Multiverse of 100+ Data Science Project Series - Where possibilities are endless, and knowledge knows no bounds. Let's explore the world of data science together! 🌌✨

[repakalokesh]

Brother you are doing wonderful job please don't stop in between. No playlist like this in entire YouTube. This is helpful a lot

[khalifamusa]

Bro you're doing so much better than lots of Youtubers. By next year youll get the highest subscription. Pls keep it up. My question; as a starter can i use your tutorials i mean as a beginner?

[AdityaKadam-oc]

I've been following your content on YouTube, and I want to thank you for the great videos you create—they've been incredibly helpful.

I'm currently working on a project that involves breast cancer classification using an image dataset. My approach combines CNN for feature extraction with a Genetic Algorithm (GA) for both feature selection and hyperparameter tuning of the CNN. Here's a quick overview of the process:

Features are extracted from the raw images using a CNN.
The GA is then used to select the most relevant features by evaluating subsets and calculating fitness with a classifier.
The GA also tunes the hyperparameters of the CNN.
Finally, the selected features are used by a classifier to determine if the cancer is malignant or benign.
I was wondering if you could guide me through this approach, or if you'd consider creating a YouTube video on this topic. Any help or advice you could offer would be greatly appreciated!

Thank you so much for your time and the valuable content you provide.

[chsalman]

i want to make my final year project in this topic can you please make front end and complete backend for app of this project

[Madhu_]

i can get research papers related to the dataset you used please

[shabab]

Make a vdo on ' how to deploy with the help of a pickle file '

[mudhassir.s]

Bhai i want to know this How many years did this data science course?

[animespiderevil]

Please make tutorial for tensorflow Deeplearning

[ritambhattacharya]

Bro how did you calculate the correlation between a categorical and a numerical variable?
Do you really aware of the concept??
Don't misguide students without having enough knowledge!