English

Posts with #DataPreProcessing

#DataPreProcessing

Public posts on X that use #DataPreProcessing.

Related hashtags

  4. The Busola@YanShuan_1
    ✨ DAY 3 of #GANweek: What You Need to Build GANs ⚙️So you want to build your own GAN? Here’s what you need — from tools and libraries to core concepts 👇🧵 Languages & Libraries ✅ Python ✅ PyTorch / TensorFlow ✅ NumPy ✅ Matplotlib (for visualizing results)
    10533
  5. The Busola@YanShuan_1
    @YanShuan_1
    #PyTorch or TensorFlow for building the GAN #GoogleColab (if you don’t have a GPU locally) Jupyter Notebook or VS Code for a dev environment System Requirements 💻 You can train a GAN without a GPU, but it’ll be slow A CUDA-enabled GPU or using Google Colab will save you hours
    10431
  7. JoyBoy@parthpadhiar1
    🧵 Day 7 of #MachineLearning Journey: Today, I dived deep into Logistic Regression – a popular algorithm for classification tasks! 📈 It’s perfect for predicting categorical outcomes. The two types I explored:
    10138
  8. JoyBoy@parthpadhiar1
    @parthpadhiar1
    Learned about skewed data – when data isn't evenly distributed, affecting predictions. 📊 Visualized this using #Seaborn for better clarity! 📈 #DataVisualization
    1008
  9. JoyBoy@parthpadhiar1
    @parthpadhiar1
    I also explored different encoding techniques: Ordinal Encoder: Useful for multiple cols 🌟 OneHotEncoder: Transforms categorical variables into a form suitable for ML algos .🔢 LabelEncoder: Ideal for single cols, arranges categories in alphabetical order 🔡 #DataPreprocessing
    10218
  10. Machine Learning Hispano@MLHispano
    Hemos descubierto un GitHub con posters muy visuales con sus respectivos enlaces a código 👩‍💻 ¿Os animáis a echarle un vistazo? ¡Abrimos 🧵 para ir subiendo los posters!
    146117
  13. Tradehubai@tradehubai
    In data analysis, preprocessing is the unsung hero. It refines data, eliminates noise, and ensures consistency for insightful decisions. Transform your data into a valuable asset for informed choices.📊 #dataanalysis #datapreprocessing
    Download
    1215513
  22. Unstructured✓@UnstructuredIO
    The Unstructured Platform is live. Join the beta community today: #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal
    Austin Vance @austinbv
    🔥New Tutorial 🔥 This is Part 3 of my end to end from scratch multi PDF RAG with @langchain and @UnstructuredIO In this part I deploy the rag and front end to @digitalocean for production. I hope you all love it. Pleas give the video a like if you do and if you have feedback or suggestions DM me!
    03145K
  23. Austin Vance✓@austinbv
    🔥New Tutorial 🔥 This is Part 3 of my end to end from scratch multi PDF RAG with @langchain and @UnstructuredIO In this part I deploy the rag and front end to @digitalocean for production. I hope you all love it. Pleas give the video a like if you do and if you have feedback or suggestions DM me!
    13198.2K
  28. Aurélien Mbelle Bono@Aurelien_Mbelle
    How to Impute Missing Values in Scikit-Learn In machine learning, it is common to encounter datasets with missing values. Missing values can occur for a variety of reasons, such as human error, sensor malfunction, or incomplete records. #machinelearning #datascience #missing🧵
    Download
    10547
  29. Aurélien Mbelle Bono@Aurelien_Mbelle
    @Aurelien_Mbelle
    Missing value imputation is the process of filling in missing values with estimates. This is important because it can improve the performance of machine learning models. Scikit-learn provides a number of methods for imputing missing values, #sklearn #data #impute 👇
    10211
  30. Aurélien Mbelle Bono@Aurelien_Mbelle
    @Aurelien_Mbelle
    such as mean imputation and median imputation. ❇ Mean imputation: Mean imputation replaces missing values with the mean of the non-missing values. This is a simple and efficient method, but it can be biased if the distribution of the data is skewed. #datapreprocessing 👇
    1025
  31. Show more posts