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  • Python Nltk

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Results for "python nltk"


  • Status: Free
    Free
    C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    206 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    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 Illinois Urbana-Champaign

    Applying Data Analytics in Marketing

    Skills you'll gain: Marketing Analytics, AI Personalization, Advanced Analytics, Customer Retention, Analytics, Marketing Effectiveness, Predictive Modeling, Marketing, Data Analysis, Social Network Analysis, Customer Analysis, Data Ethics, Customer Insights, Market Analysis, Text Mining, Predictive Analytics, Marketing Strategy and Techniques, Digital Marketing, Machine Learning, Generative AI

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    199 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Software, Programming, and Databases

    Skills you'll gain: Generative AI, Cloud Deployment, Artificial Intelligence, Data-Driven Decision-Making, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    464 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Computing Foundations

    Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Platform As A Service (PaaS), GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Test-Driven Development

    Skills you'll gain: Continuous Delivery, Test Driven Development (TDD), Unit Testing, Continuous Deployment, Continuous Integration, Agile Methodology, Test Automation, Code Review, Maintainability, Software Development, Mockups, Software Development Methodologies, Test Case, Development Testing, Testability, Software Testing, Debugging, Python Programming, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    81 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · 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
    ·
    451 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Science Challenge: Coursera
  • NLP: Twitter Sentiment Analysis: Coursera
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Applying Data Analytics in Marketing: University of Illinois Urbana-Champaign
  • Introduction to PySpark: Edureka
  • Introduction to Software, Programming, and Databases : IBM
  • Cloud Computing Foundations: Duke University
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera
  • Test-Driven Development: LearnQuest

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