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  • Python Coding

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Results for "python coding"


  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    749 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Networking

    Skills you'll gain: Cloud Infrastructure, Network Architecture, Computer Networking, Cloud Computing Architecture, Software-Defined Networking, Cloud Computing, Network Routing, TCP/IP, Wide Area Networks, Data Centers, Network Performance Management, Network Switches, Virtual Machines, Scalability, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    304 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    452 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming Fundamentals in Kotlin

    Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Programming Principles, Android Development, Data Structures, Computer Programming, Mobile Development, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    346 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Object-Oriented C++: Inheritance and Encapsulation

    Skills you'll gain: C and C++, Object Oriented Programming (OOP), C++ (Programming Language), Data Validation, Object Oriented Design, Computer Programming, Programming Principles, Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    229 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    374 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Cryptography and Information Theory

    Skills you'll gain: Cryptography, Brute-force attacks, Encryption, Information Systems Security, Cybersecurity, Theoretical Computer Science, Computational Logic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Big Data Integration and Processing: University of California San Diego
  • Deep Learning and Reinforcement Learning: IBM
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Cloud Networking: University of Illinois Urbana-Champaign
  • Supervised Machine Learning: Classification: IBM
  • Programming Fundamentals in Kotlin: Meta
  • Object-Oriented C++: Inheritance and Encapsulation: Codio
  • NLP: Twitter Sentiment Analysis: Coursera

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