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  • Pytorch Numpy Pandas Matplotlib


Results for "pytorch numpy pandas matplotlib"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing

    2.3
    Rating, 2.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Case Study - Sentiment Analysis

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Natural Language Processing, Machine Learning Methods, Text Mining, Scikit Learn (Machine Learning Library), Data Manipulation, Data Cleansing, Python Programming, Analysis, Pandas (Python Package), Development Environment, Software Development Tools, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PyMongo - Advanced

    Skills you'll gain: Pandas (Python Package), Databases, Data Pipelines, Database Design, Performance Tuning, Data Transformation, Data Structures, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Seaborn Python: Design & Customize Advanced Visualizations

    Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Exploratory Data Analysis, Data Visualization Software, Statistical Visualization, Data Storytelling, Scatter Plots, Pandas (Python Package)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python NoSQL Data Engineering with MongoDB

    Skills you'll gain: MongoDB, Data Transformation, Customer Analysis, Data Analysis, Back-End Web Development, Customer Data Management, Data Processing, NoSQL, Data Maintenance, Pandas (Python Package), Data Validation, Financial Data, Data Import/Export, Database Management, Data Cleansing, Databases, Data Pipelines, Database Design, Data Access, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    64 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : segmentation et caractérisation

    Skills you'll gain: Image Analysis, Computer Vision, Image Quality, Data Processing, Digital Signal Processing, Data Analysis, Computer Programming, Medical Imaging, Python Programming, Histogram, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    النماذج المتعاقبة

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

1…474849…53

In summary, here are 10 of our most popular pytorch numpy pandas matplotlib courses

  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Python Case Study - Sentiment Analysis: EDUCBA
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • PyMongo - Advanced : EDUCBA
  • Seaborn Python: Design & Customize Advanced Visualizations: EDUCBA
  • Data Science Fundamentals, Part 1: Pearson
  • Python NoSQL Data Engineering with MongoDB: EDUCBA

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