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  • Python Numpy

Results for "python numpy"


  • C

    Codio

    Getting Started with Generative AI APIs

    Skills you'll gain: OpenAI API, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, File Management, Application Programming Interface (API), Embeddings, Classification Algorithms, Application Development, Transfer Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Boost Your Productivity with GitHub Copilot

    Skills you'll gain: Microsoft Copilot, Prompt Engineering, GitHub, Microsoft Visual Studio, Development Environment, Computer Programming Tools, Generative AI, Software Installation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Build LLM Apps with LangChain.js

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, JavaScript Frameworks, LLM Application, Node.JS, Prompt Engineering, AI Orchestration, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    파이썬 단기집중과정

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Programming Principles, Computational Thinking, Scripting Languages, Scripting, Problem Management, Data Structures, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Advanced RAG with Vector Databases and Retrievers

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, User Interface (UI), Embeddings, UI Components, Semantic Web, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Signal Processing, Digital Communications, Electrical and Computer Engineering, Electronic Systems, Electronics, Numerical Analysis, Telecommunications, Linear Algebra, Mathematical Modeling, Time Series Analysis and Forecasting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Practical Quantum Computing with IBM Qiskit for Beginners

    Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 3 - 6 Months

Searches related to python numpy

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python for data analysis: pandas & numpy
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beginner friendly python course covering numpy, pandas, and data handling”
1…919293…149

In summary, here are 10 of our most popular python numpy courses

  • Getting Started with Generative AI APIs: Codio
  • Boost Your Productivity with GitHub Copilot: Microsoft
  • Build LLM Apps with LangChain.js: DeepLearning.AI
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • 파이썬 단기집중과정: Google
  • Advanced RAG with Vector Databases and Retrievers: IBM
  • Introduction to Machine Learning in Sports Analytics: University of Michigan

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